Jun. 2025, 総務省, 第75回「電波の日」総務大臣表彰　　　　　　　　　　　　　　　

Apr. 2024, 文部科学省, 令和6年度科学技術分野の文部科学大臣表彰 科学技術賞（研究部門）　　　　　　　　　　　　　　　

Oct. 2023, Bronze Prize GCCE2023 Excellent Student Poster Award　　　　　　　　　　　　　　　
Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

Oct. 2023, Silver Prize GCCE2023 Excellent Paper Award　　　　　　　　　　　　　　　
Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

Jul. 2023, Best Paper Award Honorable Mention　　　　　　　　　　　　　　　
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

Jan. 2023, The 2022 IEEE Sapporo Section Encouragement Award　　　　　　　　　　　　　　　
Nao Nakagawa;Ren Togo;Takahiro Ogawa;Miki Haseyama

Jan. 2023, The 2022 IEEE Sapporo Section Encouragement Award　　　　　　　　　　　　　　　
Naoki Ogawa;Keisuke Maeda;Takahiro Ogawa;Miki Haseyama

Jan. 2023, The 2022 IEEE Sapporo Section Encouragement Award　　　　　　　　　　　　　　　
Kyohei Kamikawa;Keisuke Maeda;Takahiro Ogawa;Miki Haseyama

Jan. 2023, Best Paper Award　　　　　　　　　　　　　　　
Teruhisa Yamashiro;Yuki Honma;Ren Togo;Takahiro Ogawa;Miki Haseyama;International;Workshop on;Advanced Image Technology;IWAIT

Dec. 2022, 優秀研究発表賞　　　　　　　　　　　　　　　
ユーザの嗜好を考慮した強化学習と知識グラフに基づく楽曲プレイリスト生成に関する検討, 映像情報メディア学会技術報告, vol.46, no.6, pp.109-112
櫻井 慶悟, 藤後 廉, 小川 貴弘, 長谷山 美紀

Dec. 2022, 若手優秀論文発表賞　　　　　　　　　　　　　　　
五箇 亮太;諸戸 祐哉;前田 圭介;小川 貴弘;長谷山 美紀

Dec. 2022, 若手優秀論文発表賞　　　　　　　　　　　　　　　
七田 亮, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀

Dec. 2022, 若手優秀論文発表賞　　　　　　　　　　　　　　　
山本一輝;前田 圭介;藤後 廉;小川 貴弘;長谷山 美紀

Nov. 2022, Bronze Prize GCCE2022 Excellent Student Paper Award　　　　　　　　　　　　　　　
Cross-platform recommendation considering common users’ preferences based on preference propagation graphnet, 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022), pp.133-134
Kazuki Yamamoto;Keisuke Maeda;Ren Togo;Takahiro Ogawa;Miki Haseyama

Nov. 2022, 第1回 北海道大学医療AIシンポジウム 優秀研究賞　　　　　　　　　　　　　　　
李 広;藤後 廉;小川 貴弘;長谷山 美紀

Oct. 2022, Silver Prize GCCE2022 Excellent Poster Award　　　　　　　　　　　　　　　
Free-viewpoint sports video generation based on dynamic NeRF considering time series, 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022), pp.419-420
Masato Kawai;Rintaro Yanagi;Togo Ren;Takahiro Ogawa;Miki Haseyama

Oct. 2022, Silver Prize GCCE2022 Excellent Student Poster Award　　　　　　　　　　　　　　　
Content-based image retrieval using effective synthesized images from different camera views via pixelNeRF, 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE 2022), pp.415-416
Yuki Era;Ren Togo;Keisuke Maeda;Takahiro Ogawa;Miki Haseyama

Sep. 2022, 土木学会 土木情報学システム開発賞　　　　　　　　　　　　　　　

Aug. 2022, MIRU 2022 学生奨励賞2件　　　　　　　　　　　　　　　

Mar. 2022, IEEE LifeTech 2022 WIE Excellent Poster Award　　　　　　　　　　　　　　　

Feb. 2022, 2021 IEEE Sapporo Section Student Paper Contest, Best Presentation Award　　　　　　　　　　　　　　　

Feb. 2022, 2021 IEEE Sapporo Section Encouragement Award 2件　　　　　　　　　　　　　　　

Jan. 2022, International Workshop on Advanced Image Technology (IWAIT2022) Best Paper Award　　　　　　　　　　　　　　　

Dec. 2021, 映像情報メディア学会 優秀研究発表賞　　　　　　　　　　　　　　　

Dec. 2021, 令和3年度電気・情報関係学会北海道支部連合大会 若手優秀論文発表賞 3件　　　　　　　　　　　　　　　

Oct. 2021, The 1st Hokkaido Young Professionals Workshop Best Student Presentation Award　　　　　　　　　　　　　　　

Oct. 2021, 2021 IEEE 10th Global Conference on Consumer Electronics, Gold Prize GCCE2021 Excellent Poster Award　　　　　　　　　　　　　　　

Oct. 2021, 2021 IEEE 10th Global Conference on Consumer Electronics, Gold Prize GCCE2021 Excellent Student Poster Award　　　　　　　　　　　　　　　

Oct. 2021, 2021 IEEE 10th Global Conference on Consumer Electronics, Silver Prize GCCE2021 Excellent Student Poster Award　　　　　　　　　　　　　　　

Oct. 2021, 2021 IEEE 10th Global Conference on Consumer Electronics, GCCE2021 Outstanding Paper Award　　　　　　　　　　　　　　　

Jun. 2021, 映像情報メディア学会丹羽高柳賞論文賞　　　　　　　　　　　　　　　

Mar. 2021, ACM Multimedia Asia 2020, Best Paper Runner-up Award　　　　　　　　　　　　　　　

Mar. 2021, 2021 IEEE 3rd Global Conference on Life Sciences and Technologies, Excellent Poster (On-site) Award Winners: Bronze Prize　　　　　　　　　　　　　　　

Mar. 2021, IEEE LifeTech 2021 Excellent Student Paper Award for Oral Presentation, 2nd Prize　　　　　　　　　　　　　　　

Feb. 2021, 2020 IEEE Sapporo Section Student Paper Awards, Encouragement Paper Award　　　　　　　　　　　　　　　

Feb. 2021, 2020 IEEE Sapporo Section Student Paper Awards, Best Paper Award　　　　　　　　　　　　　　　

Nov. 2020, 令和2年度電気・情報関係学会北海道支部連合大会 若手優秀論文発表賞 3件　　　　　　　　　　　　　　　

Oct. 2020, 2020 IEEE 9th Global Conference on Consumer Electronics, Bronze Prize GCCE2020 Excellent Paper Award　　　　　　　　　　　　　　　

Oct. 2020, 2020 IEEE 9th Global Conference on Consumer Electronics, Silver Prize IEEE GCCE2020 Excellent Paper Award　　　　　　　　　　　　　　　

Oct. 2020, 2020 IEEE 9th Global Conference on Consumer Electronics, Gold Prize IEEE GCCE2020 Excellent Demo! Award　　　　　　　　　　　　　　　

Oct. 2020, 2020 IEEE 9th Global Conference on Consumer Electronics, Gold Prize GCCE2020 Excellent Poster Award　　　　　　　　　　　　　　　

Oct. 2020, 2020 IEEE 9th Global Conference on Consumer Electronics, Gold Prize IEEE GCCE2020 Excellent Student Paper Award　　　　　　　　　　　　　　　

Jun. 2020, 映像情報メディア学会丹羽高柳賞論文賞　　　　　　　　　　　　　　　

May 2020, 2020 ICCE-TW Best Paper Award Honorable Metion　　　　　　　　　　　　　　　

Feb. 2020, The 2019 IEEE Sapporo Section Student Paper Contest Encouraging Prize 3件　　　　　　　　　　　　　　　

Feb. 2020, The 2019 IEEE Sapporo Section Encouragement Award　　　　　　　　　　　　　　　

Dec. 2019, 映像情報メディア学会 優秀研究発表賞　　　　　　　　　　　　　　　

Dec. 2019, 令和元年度電気・情報関係学会北海道支部連合大会 若手優秀論文発表賞 2件　　　　　　　　　　　　　　　

Oct. 2019, 2019 IEEE 8th Global Conference on Consumer Electronics, Silver Prize IEEE GCCE 2019 Excelent Paper Award　　　　　　　　　　　　　　　

Oct. 2019, 2019 IEEE 8th Global Conference on Consumer Electronics, Silver Prize IEEE GCCE 2019 Excelent Poster Award　　　　　　　　　　　　　　　

Oct. 2019, 2019 IEEE 8th Global Conference on Consumer Electronics, Outstanding Prize IEEE GCCE 2019 Excelent Demo! Award　　　　　　　　　　　　　　　

Mar. 2019, 2019 IEEE 1st Global Conference on Life Sciences and Technologies, 2nd Prize IEEE Lifetech 2019 Excellent Paper Award　　　　　　　　　　　　　　　

Feb. 2019, The 2018 IEEE Sapporo Section Student Paper Contest Encouraging Prize　　　　　　　　　　　　　　　

Feb. 2019, The 2018 IEEE Sapporo Section Encouragement Award 2件　　　　　　　　　　　　　　　

Jan. 2019, The 2019 joint International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia IWAIT Best Paper Award　　　　　　　　　　　　　　　

Dec. 2018, 平成30年度電気・情報関係学会北海道支部連合大会 優秀論文発表賞　　　　　　　　　　　　　　　

Dec. 2018, 映像情報メディア学会 優秀研究発表賞　　　　　　　　　　　　　　　

Oct. 2018, 2018 IEEE 7th Global Conference on Consumer Electronics, IEEE GCCE 2018 Outstanding Paper Award　　　　　　　　　　　　　　　

Oct. 2018, 2018 IEEE 7th Global Conference on Consumer Electronics, 1st Prize IEEE GCCE 2018 Excellent Poster Award　　　　　　　　　　　　　　　

2018, 平成29年度電気・情報関係学会北海道支部連合大会 優秀論文発表賞　　　　　　　　　　　　　　　

2018, The 2017 IEEE Sapporo Section Student Paper Contest Encouraging Prize　　　　　　　　　　　　　　　

2018, The 2017 IEEE Sapporo Section Encouragement Award (2件)　　　　　　　　　　　　　　　

2017, International Workshop on Advanced Image Technology (IWAIT2017) Best Paper Award　　　　　　　　　　　　　　　

2017, 平成28年度電気・情報関係学会北海道支部連合大会 優秀論文発表賞　　　　　　　　　　　　　　　

2017, The 2016 IEEE Sapporo Section Student Paper Contest Encouraging Prize　　　　　　　　　　　　　　　

2017, The 2016 IEEE Sapporo Section Encouragement Award　　　　　　　　　　　　　　　

2017, 電子情報通信学会 学術奨励賞　　　　　　　　　　　　　　　

2017, 精密工学会画像応用技術専門委員会・映像情報メディア学会メディア工学研究委員会合同サマーセミナー 優秀発表賞　　　　　　　　　　　　　　　

2017, 2017 IEEE 6th Global Conference on Consumer Electronics, IEEE GCCE 2017 Outstanding Poster Award　　　　　　　　　　　　　　　

2016, 2016 IEEE 5th Global Conference on Consumer Electronics 1st Prize IEEE GCCE 2016 Excellent Poster Award　　　　　　　　　　　　　　　

2016, 平成27年度電気・情報関係学会北海道支部連合大会 優秀論文発表賞 (2件)　　　　　　　　　　　　　　　

2016, The 2015 IEEE Sapporo Section Student Paper Contest Encouraging Prize　　　　　　　　　　　　　　　

2016, The 2015 IEEE Sapporo Section Encouragement Award (2件)　　　　　　　　　　　　　　　

May 2015, 映像情報メディア学会, 丹羽高柳賞　　　　　　　　　　　　　　　
業績賞
長谷山 美紀

2015, International Workshop on Advanced Image Technology (IWAIT2015) Best Paper Award　　　　　　　　　　　　　　　

2015, IEEE GCCE 2015 Excellent Poster Award　　　　　　　　　　　　　　　

2015, IEEE GCCE 2015 Outstanding Poster Award　　　　　　　　　　　　　　　

2015, The 2014 IEEE Sapporo Section Student Paper Contest Best Presentation Award　　　　　　　　　　　　　　　

2015, 平成27年度 映像情報メディア学会 優秀研究発表賞　　　　　　　　　　　　　　　

Jun. 2014, 総務省北海道総合通信局, 平成26年度情報通信月間 北海道総合通信局長表彰　　　　　　　　　　　　　　　
長谷山 美紀

2014, IEEE GCCE 2014 Undergraduate Poster Award　　　　　　　　　　　　　　　

2013, 平成25年度電気・情報関係学会北海道支部連合大会 優秀論文発表賞　　　　　　　　　　　　　　　

2011, 平成23年度信号処理学生奨励賞 (2件)　　　　　　　　　　　　　　　

2011, 平成23年度電気関係学会北海道支部連合大会 若手優秀論文発表賞　　　　　　　　　　　　　　　

2011, 映像情報メディア学会 学生優秀発表賞　　　　　　　　　　　　　　　

2011, SIP学生奨励賞　　　　　　　　　　　　　　　
Japan

2011, 平成23年度電気・情報関係学会北海道支部 優秀論文発表賞　　　　　　　　　　　　　　　
Japan

2011, 映像情報メディア学会年次大会 学生優秀発表賞　　　　　　　　　　　　　　　
Japan

2010, 平成22年度電気関係学会北海道支部連合大会 若手優秀論文発表賞　　　　　　　　　　　　　　　

2010, 2010 IEEE Sapporo Section Student Member Best Presentation Award　　　　　　　　　　　　　　　

2009, 電子情報通信学会論文賞　　　　　　　　　　　　　　　

2009, 平成21年度電気・情報関係学会北海道支部連合大会 優秀論文発表賞　　　　　　　　　　　　　　　
Japan

2009, 平成20年度電子情報通信学会論文賞　　　　　　　　　　　　　　　
Japan

2008, IEEE CE-Society 日本支部 若手論文賞　　　　　　　　　　　　　　　

2008, 平成20年度電気関係学会北海道支部連合大会 若手優秀論文発表賞　　　　　　　　　　　　　　　

2008, 2008 IEEE Sapporo Section Student Member Encouraging Prize　　　　　　　　　　　　　　　

2007, 平成19年度電気関係学会北海道支部連合大会 若手優秀論文発表賞　　　　　　　　　　　　　　　

2007, IEEE International Conference on Consumer Electronics, IEEE Consumer Electronics Society Japan Chapter Young Scientist Paper Award　　　　　　　　　　　　　　　

2006, 2006 IEEE Sapporo Section Student Paper Contest Award　　　　　　　　　　　　　　　

2005, 精密工学会画像応用技術専門委員会・映像情報メディア学会メディア工学研究委員会合同サマーセミナー優秀発表賞　　　　　　　　　　　　　　　

2005, 平成17年度電気情報関係学会北海道支部連合大会 若手優秀論文発表賞　　　　　　　　　　　　　　　

2005, 映像情報メディア学会 研究奨励賞　　　　　　　　　　　　　　　

The 2022 IEEE Sapporo Section Student Paper Contest Encouraging Prize　　　　　　　　　　　　　　　
河合 雅斗;柳 凜太郎;藤後 廉;小川 貴弘;長谷山 美紀

Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence
Wenbo Huang, Jinghui Zhang, Guang Li, Lei Zhang, Shuoyuan Wang, Fang Dong, Jiahui Jin, Takahiro Ogawa, Miki Haseyama
Proceedings of the AAAI Conference on Artificial Intelligence, 39, 4, 3751, 3759, Association for the Advancement of Artificial Intelligence (AAAI), 11 Apr. 2025
Scientific journal, In few-shot action recognition (FSAR), long sub-sequences of video naturally express entire actions more effectively. However, the high computational complexity of mainstream Transformer-based methods limits their application. Recent Mamba demonstrates efficiency in modeling long sequences, but directly applying Mamba to FSAR overlooks the importance of local feature modeling and alignment. Moreover, long sub-sequences within the same class accumulate intra-class variance, which adversely impacts FSAR performance. To solve these challenges, we propose a Matryoshka MAmba and CoNtrasTive LeArning framework (Manta). Firstly, the Matryoshka Mamba introduces multiple Inner Modules to enhance local feature representation, rather than directly modeling global features. An Outer Module captures dependencies of timeline between these local features for implicit temporal alignment. Secondly, a hybrid contrastive learning paradigm, combining both supervised and unsupervised methods, is designed to mitigate the negative effects of intra-class variance accumulation. The Matryoshka Mamba and the hybrid contrastive learning paradigm operate in two parallel branches within Manta, enhancing Mamba for FSAR of long sub-sequence. Manta achieves new state-of-the-art performance on prominent benchmarks, including SSv2, Kinetics, UCF101, and HMDB51. Extensive empirical studies prove that Manta significantly improves FSAR of long sub-sequence from multiple perspectives.

Generative Dataset Distillation Based on Self-knowledge Distillation
Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1, 5, IEEE, 06 Apr. 2025
International conference proceedings

Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images
Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori, Kenji Hirata, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1, 5, IEEE, 06 Apr. 2025
International conference proceedings

ConcVAE: Conceptual Representation Learning.
Ren Togo, Nao Nakagawa, Takahiro Ogawa 0001, Miki Haseyama
IEEE Trans. Neural Networks Learn. Syst., 36, 4, 7529, 7541, Apr. 2025
Scientific journal

Damage-level classification considering both correlation between image and text data and confidence of attention map.
Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa 0001, Miki Haseyama
Comput. Aided Civ. Infrastructure Eng., 40, 6, 764, 781, Feb. 2025
Scientific journal

Multistage deep learning for classification of Helicobacter pylori infection status using endoscopic images
Guang Li, Ren Togo, Katsuhiro Mabe, Shunpei Nishida, Yoshihiro Tomoda, Fumiyuki Shiratani, Masashi Hirota, Takahiro Ogawa, Miki Haseyama
Journal of Gastroenterology, 60, 4, 408, 415, Springer Science and Business Media LLC, 15 Jan. 2025
Scientific journal

Automatic generation of findings using generative AI to support for inspection report creation -Introduction of in-context learning based on similar image retrieval through cluster analysis-
佐藤雅也, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀
AI・データサイエンス論文集(Web), 6, 1, 2025

Damage level estimation of inspection images in road infrastructures using in-context learning with data augmentation
中島佑, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀
AI・データサイエンス論文集(Web), 6, 1, 2025

Extending Gaussian Splatting to Audio: Optimizing Audio Points for Novel-View Acoustic Synthesis.
Masaki Yoshida, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
VR Workshops, 1412, 1413, 2025
International conference proceedings

Triplet Synthesis for Enhancing Composed Image Retrieval via Counterfactual Image Generation.
Kenta Uesugi, Naoki Saito 0006, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 1, 5, 2025
International conference proceedings

Robust Adversarial Defense Based on Non-Transferability of Attack Across Foundation Models.
Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 2024, 1, 5, 2025

Gradient-Oriented Clustered Federated Learning With Efficient Knowledge Sharing in Non-IID Settings.
Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 1, 5, 2025
International conference proceedings

LLM is Knowledge Graph Reasoner: LLM's Intuition-Aware Knowledge Graph Reasoning for Cold-Start Sequential Recommendation.
Keigo Sakurai, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ECIR (2), 263, 278, 2025
International conference proceedings

Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation.
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
AISTATS, 1783, 1791, 2025
International conference proceedings

Linear Structure Analysis of Embeddings for Bias Disparity Reduction in Collaborative Filtering.
Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
IEEE Trans. Serv. Comput., 18, 4, 2201, 2211, 2025
Scientific journal

Cross-domain multi-step thinking: Zero-shot fine-grained traffic sign recognition in the wild.
Yaozong Gan, Guang Li 0008, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Knowl. Based Syst., 327, 114172, 114172, 2025
Scientific journal

AMDIS: Amplitude Dissimilarity Reduced Reference IQA Metric for Neural Radiance Field.
Ren Togo, Rintaro Yanagi, Masato Kawai, Takahiro Ogawa 0001, Miki Haseyama
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 108, 7, 897, 905, 2025
Scientific journal

Lung Disease Classification with Limited Training Data Based on Weight Selection Technique
Ayaka Tsutsumi, Guang Li, Ren Togo, Takahiro Ogawa, Satoshi Kondo, Miki Haseyama
2024 IEEE 13th Global Conference on Consumer Electronics (GCCE), 460, 461, IEEE, 29 Oct. 2024
International conference proceedings

Generative Dataset Distillation Based on Large Model Pool
Longzhen Li, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2024 IEEE 13th Global Conference on Consumer Electronics (GCCE), 458, 459, IEEE, 29 Oct. 2024
International conference proceedings

Lung Cancer Classification Using Masked Autoencoder Pretrained on J-MID Database
Ren Tasai, Guang Li, Ren Togo, Minghui Tang, Takaaki Yoshimura, Hiroyuki Sugimori, Kenji Hirata, Takahiro Ogawa, Kohsuke Kudo, Miki Haseyama
2024 IEEE 13th Global Conference on Consumer Electronics (GCCE), 456, 457, IEEE, 29 Oct. 2024
International conference proceedings

Snow- or ice-covered road detection in winter road surface conditions using deep neural networks.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Computer-Aided Civil and Infrastructure Engineering, 39, 19, 2935, 2950, Oct. 2024
Scientific journal

Graph Convolutional Network-based Sports Skill-level Recognition via Deep Metric Learning
Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC), 15, 1, 4, IEEE, 02 Jul. 2024
International conference proceedings

Multimodal Transformer Model Using Time-Series Data to Classify Winter Road Surface Conditions.
Yuya Moroto, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 24, 11, 3440, 3440, Jun. 2024
Scientific journal

Trial Analysis of Brain Activity Information for the Presymptomatic Disease Detection of Rheumatoid Arthritis.
Keisuke Maeda, Takahiro Ogawa, Tasuku Kayama, Takuya Sasaki, Kazuki Tainaka, Masaaki Murakami, Miki Haseyama
Bioengineering (Basel, Switzerland), 11, 6, 21 May 2024, [International Magazine]
English, Scientific journal, This study presents a trial analysis that uses brain activity information obtained from mice to detect rheumatoid arthritis (RA) in its presymptomatic stages. Specifically, we confirmed that F759 mice, serving as a mouse model of RA that is dependent on the inflammatory cytokine IL-6, and healthy wild-type mice can be classified on the basis of brain activity information. We clarified which brain regions are useful for the presymptomatic detection of RA. We introduced a matrix completion-based approach to handle missing brain activity information to perform the aforementioned analysis. In addition, we implemented a canonical correlation-based method capable of analyzing the relationship between various types of brain activity information. This method allowed us to accurately classify F759 and wild-type mice, thereby identifying essential features, including crucial brain regions, for the presymptomatic detection of RA. Our experiment obtained brain activity information from 15 F759 and 10 wild-type mice and analyzed the acquired data. By employing four types of classifiers, our experimental results show that the thalamus and periaqueductal gray are effective for the classification task. Furthermore, we confirmed that classification performance was maximized when seven brain regions were used, excluding the electromyogram and nucleus accumbens.

Expert–Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism
Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
Sensors, 24, 10, 3033, 3033, MDPI AG, 10 May 2024
Scientific journal, In this study, we propose a classification method of expert–novice levels using a graph convolutional network (GCN) with a confidence-aware node-level attention mechanism. In classification using an attention mechanism, highlighted features may not be significant for accurate classification, thereby degrading classification performance. To address this issue, the proposed method introduces a confidence-aware node-level attention mechanism into a spatiotemporal attention GCN (STA-GCN) for the classification of expert–novice levels. Consequently, our method can contrast the attention value of each node on the basis of the confidence measure of the classification, which solves the problem of classification approaches using attention mechanisms and realizes accurate classification. Furthermore, because the expert–novice levels have ordinalities, using a classification model that considers ordinalities improves the classification performance. The proposed method involves a model that minimizes a loss function that considers the ordinalities of classes to be classified. By implementing the above approaches, the expert–novice level classification performance is improved.

Analysis of Continual Learning Techniques for Image Generative Models with Learned Class Information Management.
Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 24, 10, 3087, 3087, May 2024
Scientific journal

A Novel Frame-Selection Metric for Video Inpainting to Enhance Urban Feature Extraction.
Yuhu Feng, Jiahuan Zhang, Guang Li 0008, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 24, 10, 3035, 3035, May 2024
Scientific journal

Algal Bed Region Segmentation Based on a ViT Adapter Using Aerial Images for Estimating CO2 Absorption Capacity.
Guang Li 0008, Ren Togo, Keisuke Maeda, Akinori Sako, Isao Yamauchi, Tetsuya Hayakawa, Shigeyuki Nakamae, Takahiro Ogawa 0001, Miki Haseyama
Remote. Sens., 16, 10, 1742, 1742, May 2024
Scientific journal

Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification
Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1796, 1800, IEEE, 14 Apr. 2024
International conference proceedings

Parameter-efficient tuning of cross-modal retrieval for a specific database via trainable textual and visual prompts.
Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Int. J. Multim. Inf. Retr., 13, 1, 14, 14, Mar. 2024
Scientific journal

Flexibly manipulating popularity bias for tackling trade-offs in recommendation.
Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Inf. Process. Manag., 61, 2, 103606, 103606, Mar. 2024
Scientific journal

Text-Guided Image Editing Based on Post Score for Gaining Attention on Social Media.
Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 24, 3, 921, 921, Feb. 2024
Scientific journal

Automatic generation of findings using generative AI to support for inspection report creation -Introduction of in-context learning based on similar image retrieval using data pool compression-
佐藤雅也, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀
AI・データサイエンス論文集(Web), 5, 3, 2024

Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning.
Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
SIGGRAPH Asia Posters, 78, 3, 2024
International conference proceedings

An Evaluation Metric for Single Image-to-3D Models Based on Object Detection Perspective.
Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
SIGGRAPH Asia 2024 Technical Communications, 31, 4, ACM, 2024
International conference proceedings

What to Do and Where to Go Next? Action Prediction in Soccer Using Multimodal Co-Attention Transformer.
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports(MMSports@MM), 75, 79, ACM, 2024
International conference proceedings

DQG: Database Question Generation for Exact Text-based Image Retrieval.
Rintaro Yanagi, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Proceedings of the 32nd ACM International Conference on Multimedia, 7424, 7433, ACM, 2024
International conference proceedings

MMT-BERT: Chord-Aware Symbolic Music Generation Based on Multitrack Music Transformer and MusicBERT.
Jinlong Zhu, Keigo Sakurai, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ISMIR, 470, 477, 2024
International conference proceedings

Introducing Class Replacement Technique in Class Incremental Learning in Generative Models.
Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
International Conference on Consumer Electronics - Taiwan(ICCE-Taiwan), 457, 458, IEEE, 2024
International conference proceedings

Discriminator-enhanced Music Generation Based on Multitrack Music Transformer.
Jinlong Zhu, Keigo Sakurai, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
International Conference on Consumer Electronics - Taiwan(ICCE-Taiwan), 363, 364, IEEE, 2024
International conference proceedings

Motion-STUDiO : Motion Style Transfer Utilized for Dancing Operation by Considering Both Style and Dance Features.
Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
International Conference on Consumer Electronics - Taiwan(ICCE-Taiwan), 127, 128, IEEE, 2024
International conference proceedings

Privacy Preserving Gaze Estimation Via Federated Learning Adapted To Egocentric Video.
Yuhu Feng, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 3500, 3504, IEEE, 2024
International conference proceedings

Multimodal Adversarial Defense Trained on Features Extracted from Images and Brain Activity.
Tasuku Nakajima, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 1183, 1184, 2024
International conference proceedings

Zero-shot Controllable Music Generation from Videos Using Facial Expressions.
Shilin Liu, Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 1169, 1170, 2024
International conference proceedings

Personalized Visual Emotion Classification via In-context Learning in Multimodal LLM.
Ryo Takahashi, Naoki Saito 0006, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 1167, 1168, 2024
International conference proceedings

Zero-shot Composed Video Retrieval with Projection Module Bridging Modality Gap.
Kenta Uesugi, Naoki Saito 0006, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 6, 7, 2024
International conference proceedings

RGMIM: Region-Guided Masked Image Modeling for Learning Meaningful Representations from X-Ray Images.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ECCV Workshops (14), 148, 157, 2024
International conference proceedings

Generative Dataset Distillation Based on Diffusion Model.
Duo Su, Junjie Hou, Guang Li 0008, Ren Togo, Rui Song 0007, Takahiro Ogawa 0001, Miki Haseyama
ECCV Workshops (19), 83, 94, 2024
International conference proceedings

Multi-Modal Gaussian Process Latent Variable Model With Semi-Supervised Label Dequantization.
Keisuke Maeda, Masanao Matsumoto, Naoki Saito 0006, Takahiro Ogawa 0001, Miki Haseyama
IEEE Access, 12, 127244, 127258, 2024
Scientific journal

MLLM-based Automatic Exploration of Editing Prompt for High Engagement Image Generation.
Kenta Kubota, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 1165, 1166, 2024
International conference proceedings

An Evaluation Metric for Single Image-to-3D Models Based on a Class Confidence Score of Object Detection Models.
Yuiko Uchida, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 2024, 1163, 1164, 2024

Improving Zero-shot Adversarial Robustness via Integrating Image Features of Foundation Models.
Koshiro Toishi, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 148, 149, 2024
International conference proceedings

Emotion-conditional Image Generation Reflecting Semantic Alignment with Text-to-Image Models.
Kaede Hayakawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 10, 11, 2024
International conference proceedings

Structured Polyphonic Music Generation with Diffusion Transformer.
Jinlong Zhu, Keigo Sakurai, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 8, 9, 2024
International conference proceedings

AUTOMATIC RECOGNITION OF ALGAL BED AREAS BASED ON A LARGE-SCALE SEMANTIC SEGMENTATION MODEL FOR ESTIMATING CO₂ ABSORPTION BY BLUE CARBON
LI Guang, TOGO Ren, MAEDA Keisuke, SAKO Akinori, YAMAUCHI Isao, HAYAKAWA Tetsuya, NAKAMAE Shigeyuki, OGAWA Takahiro, HASEYAMA Miki
Japanese Journal of JSCE, 80, 17, n/a, Japan Society of Civil Engineers, 2024
Japanese, Measuring the CO₂ absorption of algal beds is one of the key issues for achieving carbon neutrality, but identifying the area of algal beds from UAV images requires a great deal of labor and experience. In this study, we propose a method for automatic recognition of algal beds using UAV images. The proposed method uses a model that enables semantic domain segmentation at the pixel level, and employs ViT-Adapter, one of the latest models. The advantage of this technique is that it effectively utilizes the knowledge of a trained large-scale model to recognize algal beds, and it can identify algal beds at the pixel level by adjusting the parameters of the model. In this study, we conducted learning using mask images of visually identified algal beds from aerial photographs, and further examined data expansion and other processing to adapt the learning to UAV images. The effectiveness of this method was verified through a demonstration using UAV images of the Erimo coast of Hokkaido.

Generative Dataset Distillation: Balancing Global Structure and Local Details.
Longzhen Li, Guang Li 0008, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
CVPR Workshops, 7664, 7671, IEEE, 2024
International conference proceedings

Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition.
Yaozong Gan, Guang Li 0008, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2407.05814, 2564, 2570, 2024
Scientific journal

Zero-shot Composed Image Retrieval Considering Query-target Relationship Leveraging Masked Image-text Pairs.
Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2406.18836, 2431, 2437, 2024
Scientific journal

Prompt-based Personalized Federated Learning for Medical Visual Question Answering.
He Zhu, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2402.09677, 1821, 1825, IEEE, 2024
Scientific journal

Importance-Aware Adaptive Dataset Distillation.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2401.15863, 2024
Scientific journal

Multi-Object Editing in Personalized Text-To-Image Diffusion Model Via Segmentation Guidance.
Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 8140, 8144, IEEE, 2024
International conference proceedings

Caption Unification for Multi-View Lifelogging Images Based on In-Context Learning with Heterogeneous Semantic Contents.
Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 8085, 8089, IEEE, 2024
International conference proceedings

Enhancing Noisy Label Learning Via Unsupervised Contrastive Loss with Label Correction Based on Prior Knowledge.
Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 6235, 6239, IEEE, 2024
International conference proceedings

Prompt-Based Personalized Federated Learning for Medical Visual Question Answering.
He Zhu, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 1821, 1825, 2024
International conference proceedings

Importance-aware adaptive dataset distillation.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Neural Networks, 172, 106154, 106154, 2024
Scientific journal

Dataset Distillation Using Parameter Pruning.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 107, 6, 936, 940, 2024
Scientific journal

Expert-novice level classification using engineers’ motion data in subway tunnel inspections - Introduction of explainable graph convolutional network -
SEINO Tatsuki, SAITO Naoki, MAEDA Keisuke, OGAWA Takahiro, HASEYAMA Miki
Artificial Intelligence and Data Science, 5, 1, 101, 109, Japan Society of Civil Engineers, 2024
Japanese, Skill transfer to young engineers from senior engineers is a very important task in infrastructure equipment inspection. To support the skill transfer, an analysis method of the key factors of senior engineers skill is needed. However, conventional research has been limited to skill-level classification or analysis of the relationship between the skill level and biological data such as eye gaze and motion obtained from the engineers. This paper presents a method of classifying the skill level and visualization of its key factors to support the skill transfer. The proposed method employs a graph convolutional network introducing a novel attention mechanism for the classification and visualization.

Accident risk estimation with depth information in construction site videos
GOKA Ryota, MAEDA Keisuke, TOGO Ren, OGAWA Takahiro, HASEYAMA Miki
Proceedings of the Annual Conference of JSAI, JSAI2024, 2C6GS701, 2C6GS701, The Japanese Society for Artificial Intelligence, 2024
Japanese, In the construction industry, reducing accident risk and improving safety is one of the high-priority tasks. Recently, several methods have been proposed to estimate the contact accident risk with heavy machinery on construction sites for enhancing safety. Conventional studies based on deep learning estimate the risk by using relations within the image space of detected workers and machinery captured in construction site videos. However, these approaches focus on the distance between detected objects in the image, leading to the problem that accident risk is overestimated even when there is distance between objects in the real world. In this study, to consider 3D spatial information in videos, we propose a method for estimating the accident risk with visual features regarding depth information. Experimental results show that the proposed method performs better than existing methods in estimating the contact accident risk.

Reinforcing Pre-trained Models Using Counterfactual Images.
Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2406.13316, 486, 492, 2024
Scientific journal

Generative Dataset Distillation: Balancing Global Structure and Local Details.
Longzhen Li, Guang Li 0008, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2404.17732, 2024
Scientific journal

Enhancing Generative Class Incremental Learning Performance with Model Forgetting Approach.
Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2403.18258, 2024
Scientific journal

Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity.
Yuto Watanabe, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
J. Robotics Mechatronics, 36, 2, 353, 364, 2024
Scientific journal

Individual Persistence Adaptation for User-Centric Evaluation of User Satisfaction in Recommender Systems.
Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
IEEE Access, 12, 23626, 23635, 2024
Scientific journal

Zero-Shot Traffic Sign Recognition Based on Midlevel Feature Matching
Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Sensors, 23, 23, 9607, 9607, MDPI AG, 04 Dec. 2023
Scientific journal, Traffic sign recognition is a complex and challenging yet popular problem that can assist drivers on the road and reduce traffic accidents. Most existing methods for traffic sign recognition use convolutional neural networks (CNNs) and can achieve high recognition accuracy. However, these methods first require a large number of carefully crafted traffic sign datasets for the training process. Moreover, since traffic signs differ in each country and there is a variety of traffic signs, these methods need to be fine-tuned when recognizing new traffic sign categories. To address these issues, we propose a traffic sign matching method for zero-shot recognition. Our proposed method can perform traffic sign recognition without training data by directly matching the similarity of target and template traffic sign images. Our method uses the midlevel features of CNNs to obtain robust feature representations of traffic signs without additional training or fine-tuning. We discovered that midlevel features improve the accuracy of zero-shot traffic sign recognition. The proposed method achieves promising recognition results on the German Traffic Sign Recognition Benchmark open dataset and a real-world dataset taken from Sapporo City, Japan.

Manipulation Direction: Evaluating Text-Guided Image Manipulation Based on Similarity between Changes in Image and Text Modalities.
Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 23, 22, 9287, 9287, Nov. 2023
Scientific journal

Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network
Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2023 IEEE 12th Global Conference on Consumer Electronics (GCCE), IEEE, 10 Oct. 2023
International conference proceedings

Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model.
Naoki Saito 0006, Keisuke Maeda, Takahiro Ogawa 0001, Satoshi Asamizu, Miki Haseyama
Journal of Robotics and Mechatronics, 35, 5, 1321, 1330, Oct. 2023
Scientific journal

Self-supervised learning for gastritis detection with gastric X-ray images.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
International Journal of Computer Assisted Radiology and Surgery, 18, 10, 1841, 1848, Oct. 2023
Scientific journal

Zero-Shot Neural Decoding with Semi-Supervised Multi-View Embedding.
Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 23, 15, 6903, 6903, Aug. 2023
Scientific journal

Off-Screen Sound Separation Based on Audio-visual Pre-training Using Binaural Audio
Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama
SENSORS, 23, 9, 4540, 4540, May 2023
English, Scientific journal

Multimodal Natural Language Explanation Generation for Visual Question Answering Based on Multiple Reference Data
He Zhu, Ren Togo, Takahiro Ogawa, Miki Haseyama
ELECTRONICS, 12, 10, May 2023
English, Scientific journal

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Comput. Biol. Medicine, 158, 106877, 106877, May 2023
Scientific journal

Canonical Correlation Analysis Introducing Label Dequantization for Visual Emotion Recognition
SAITO Naoki, MAEDA Keisuke, OGAWA Takahiro, ASAMIZU Satoshi, HASEYAMA Miki
電子情報通信学会論文誌D 情報・システム, J106-D, 5, 337, 348, The Institute of Electronics, Information and Communication Engineers, 01 May 2023
Japanese, Supervised multi-view canonical correlation analysis via cyclic label dequantization (sMVCCA-CLD) for visual emotion recognition is presented in this paper. In the CCA approach, the dimension of latent common space is limited to the minimum dimension among those of all features. The dimension of label features i.e., the number of classes for label information, tends to be lower than those of the other features. Then the dimension of the latent common space constructed by CCA becomes lower. Therefore, there is a possibility of misssing important information that is necessary for the estimation from the latent common space due to the dimensionality constraint. To overcome this constraint, sMVCCA-CLD increases the dimension of the label features by the label dequantization process, and estimates the canonical correlation between multi-view features. In addition, sMVCCA-CLD performs the label dequantization considering that the emotions are represented by a cyclic model, e.g., Plutchik's and Mikel's wheels. Consequently, the construction of the latent common space for the accurate recognition of emotions becomes feasible.

COVID-19 detection based on self-supervised transfer learning using chest X-ray images.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Int. J. Comput. Assist. Radiol. Surg., 18, 4, 715, 722, Apr. 2023
Scientific journal

Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning.
Takaaki Higashi, Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 23, 3, 1657, 1657, Feb. 2023
Scientific journal

Diversity Learning Based on Multi-Latent Space for Medical Image Visual Question Generation.
He Zhu, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 23, 3, 1057, 1057, Feb. 2023
English, Scientific journal

Automatic generation of findings for distress images using visual language model—Introduction of few-shot learning based on similar image retrieval—
WATANABE Yuto, OGAWA Naoki, MAEDA Keisuke, OGAWA Takahiro, HASEYAMA Miki
Artificial Intelligence and Data Science, 4, 3, 223, 232, Japan Society of Civil Engineers, 2023
Japanese, In this study, we propose a novel method for automatic generation of findings using a visual language model to support the efficient creation of findings in inspection records for infrastructure facilities. It is essential for the creation of inspection records to write findings, which are sentences that include judgments and opinions of engineers in addition to what can be recognized from the distress image. However, there has been little discussion on the direct automatic generation of findings, and it is expected to realize generation methods to support the efficient creation of findings. With this background, in this paper, we introduce few-shot learning based on the similarity of distress images to the visual language model, which is an application of large language models attracted much attention in recent years and enables text output with a highly accurate understanding of both vision and language. By using past inspection records including images similar to the distress images, we can efficiently consider the relationship between the distress images and findings from a small number of pairs of them. In the last part of this paper, we confirm the effectiveness of the proposed method through experiments generating findings from the distress images included in the inspection records of bridges.

Distress estimation of road attachments based on attention-based multiple instance learning considering the diversity of background of images
WATANABE Koshi, OGAWA Naoki, MAEDA Keisuke, OGAWA Takahiro, HASEYAMA Miki
Artificial Intelligence and Data Science, 4, 3, 482, 489, Japan Society of Civil Engineers, 2023
Japanese, In this paper, we propose a distress estimation method for road attachments. Road attachments, such as signs and lighting, are equipped over a huge number and wide area, and therefore it is desired to achieve automatic inspection by using drones to reduce the burden on the inspectors. While captured images by drones include the diversity of the background including ground, sky, and road surfaces, the previous methods did not consider the diversity of the background of captured images of road attachments. This study proposes the distress estimation method via attention-based multiple instance learning to address this issue. We input patches of the images into the estimation model to distinguish between the background area and road attachment area and assign importance weight, or attention, to each patch. By performing this strategy, we realize the distress estimation method considering the diversity of the background area of images. In the experiment, we achieve a classification accuracy of about 70 % using images of actual road attachments confirming the effectiveness of this research approach.

Multi-task classification of distress types and deterioration levels for infrastructure maintenance
OGAWA Naoki, MAEDA Keisuke, OGAWA Takahiro, HASEYAMA Miki
Artificial Intelligence and Data Science, 4, 3, 807, 814, Japan Society of Civil Engineers, 2023
Japanese, This paper proposes a multi-task classification method that classifies both the distress type and deterioration level at the same time. Conventionally, classifying the deterioration level has been conducted for each distress type by using multiple models. In contrast, the proposed method enables classification of the deterioration level without assigning a distress type to the distress image in advance, by training a single model through loss minimization considering the distress type and deterioration level. In the last part of the paper, it is verified that the proposed method can achieve classification performance equivalent to models constructed for each distress type with a single model by using images of actual distress that have occurred on infrastructure.

Advanced AI research for enhancing the efficiency of infrastructure maintenance and management
MAEDA Keisuke, OGAWA Takahiro, HASEYAMA Miki
Artificial Intelligence and Data Science, 4, 3, 982, 989, Japan Society of Civil Engineers, 2023
Japanese, With the development and advancement of AI technology, research on the application to the field of infrastructure maintenance is actively progressing. Many of these studies focus on the development of learning theories that consider the characteristics of images obtained in infrastructure maintenance. The effectiveness of AI has been demonstrated in various tasks such as crack detection, classification of defect types, and estimation of degradation levels. On the other hand, to truly enhance the operational efficiency through AI, it is necessary to construct AI systems considering the practical business. Furthermore, to improve AI and continuously utilize AI, it is necessary to acquire images suitable for AI development in operations. Therefore, this paper introduces the learning theories that have been developed for images obtained in infrastructure maintenance, previous research on AI with essential function for the practical business and the authors’ idea on efficient image acquisition.

Automatic detection of dead trees using in-vehicle video based on semantic segmentation
OGAWA Naoki, MAEDA Keisuke, OGAWA Takahiro, HASEYAMA Miki
Artificial Intelligence and Data Science, 4, 3, 686, 693, Japan Society of Civil Engineers, 2023
Japanese, This paper proposes a method for automatic detection of dead trees using in-vehicle videos. The proposed method extracts vegetation regions from videos containing various objects based on semantic segmentation. Then, it detects dead trees from the extracted vegetation regions using color information. By presenting the dead tree regions detected by the proposed method to engineers, they can find dead trees efficiently. In the last part of this paper, the effectiveness of the proposed method is verified through experiments using actual in-vehicle videos.

Feature Integration via Back-Projection Ordering Multi-Modal Gaussian Process Latent Variable Model for Rating Prediction.
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 3125, 3129, 2023
International conference proceedings

Multi-View Variational Recurrent Neural Network for Human Emotion Recognition Using Multi-Modal Biological Signals.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 2925, 2929, 2023
International conference proceedings

Video-Music Retrieval with Fine-Grained Cross-Modal Alignment.
Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 2005, 2009, 2023
International conference proceedings

Text-Guided Facial Image Manipulation for Wild Images via Manipulation Direction-Based Loss.
Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 361, 365, 2023
International conference proceedings

Text-to-image Diffusion Model Suppressing Catastrophic Forgetting via Elastic Weight Consolidation.
Haruka Matsuda, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 831, 832, 2023
International conference proceedings

Deterioration Level Estimation for Infrastructures Considering Noisy Labels via DivideMix.
Masaki Kashiwagi, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 829, 830, 2023
International conference proceedings

Novel Feature Extraction for Classification of Auditory-visual Stimuli from fNIRS Signals.
Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 759, 760, 2023
International conference proceedings

A Controllable Recoloring Method for Novel Views Using Segment Anything Model.
Haoyang Wang, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 587, 588, 2023
International conference proceedings

Caption Unification for Multiple Viewpoint Lifelogging Images and Its Verification.
Masaya Sato, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 415, 416, 2023
International conference proceedings

Improving Visual Counterfactual Explanation Models for Image Classification via CLIP.
Xiang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 390, 391, 2023
International conference proceedings

Canonical Correlation Analysis Introducing Label Dequantization for Visual Emotion Recognition
斉藤直輝, 前田圭介, 小川貴弘, 浅水仁, 長谷山美紀
電子情報通信学会論文誌 D(Web), J106-D, 5, 2023

Few-Shot Personalized Saliency Prediction Using Tensor Regression for Preserving Structural Global Information.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2307.02799, 2023
Scientific journal

Personalized Content Recommender System via Non-verbal Interaction Using Face Mesh and Facial Expression.
Yuya Moroto, Rintaro Yanagi, Naoki Ogawa, Kyohei Kamikawa, Keigo Sakurai, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ACM Multimedia, 9399, 9401, 2023
International conference proceedings

Gromov-Wasserstein Autoencoders.
Nao Nakagawa, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICLR, 2023
International conference proceedings

Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA.
Tatsuki Seino, Naoki Saito 0006, Takahiro Ogawa 0001, Satoshi Asamizu, Miki Haseyama
ICCE-Taiwan, 813, 814, 2023
International conference proceedings

Parameter-efficient Tuning of a Pre-trained Model via Prompt Learning in Cross-modal Retrieval.
Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICCE-Taiwan, 811, 812, 2023
International conference proceedings

Binaural Audio Generation with Data Augmentation from 360° Videos.
Masaki Yoshida, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICCE-Taiwan, 795, 796, 2023
International conference proceedings

Prediction of Shoot Events by Considering Spatio-temporal Relations of Multimodal Features.
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICCE-Taiwan, 793, 794, 2023
International conference proceedings

Shoot Event Prediction in Soccer Considering Expected Goals Based on Players' Positions.
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICCE-Taiwan, 449, 450, 2023
International conference proceedings

Estimation of Amyloid-β Positivity Using QSM Images Considering Age Information.
Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Yukie Shimizu, Shiro Watanabe, Kenji Hirata, Keisuke Maeda, Takahiro Ogawa 0001, Kohsuke Kudo, Miki Haseyama
ICCE-Taiwan, 165, 166, 2023
International conference proceedings

A Medical Domain Visual Question Generation Model via Large Language Model.
He Zhu, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICCE-Taiwan, 163, 164, 2023
International conference proceedings

Defense Against Black-Box Adversarial Attacks Via Heterogeneous Fusion Features.
Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 1, 5, 2023
International conference proceedings

Binauralization Robust To Camera Rotation Using 360° Videos.
Masaki Yoshida, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 1, 5, 2023
International conference proceedings

Learning Graph Laplacian from Intrinsic Patterns via Gaussian Process.
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 1, 5, 2023
International conference proceedings

Estimation of Visual Contents from Human Brain Signals via VQA Based on Brain-Specific Attention.
Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 1, 5, 2023
International conference proceedings

Class-Aware Shared Gaussian Process Dynamic Model.
Ryosuke Sawata, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 1, 5, 2023
International conference proceedings

Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss.
Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 1, 5, 2023
International conference proceedings

Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships.
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 23, 10, 4798, 4798, 2023
Scientific journal

Prediction of Shooting Events in Soccer Videos Using Complete Bipartite Graphs and Players' Spatial-Temporal Relations.
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 23, 9, 4506, 4506, 2023
Scientific journal

Material Compound-Property Retrieval Using Electron Microscope Images for Rubber Material Development.
Rintaro Yanagi, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
IEEE Access, 11, 88258, 88264, 2023
Scientific journal

Hierarchical Multi-Label Attribute Classification With Graph Convolutional Networks on Anime Illustration.
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
IEEE Access, 11, 35447, 35456, 2023
Scientific journal

SpectralMAP: Approximating Data Manifold With Spectral Decomposition
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE ACCESS, 11, 31530, 31540, 2023
English, Scientific journal

Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT V, 13717, 157, 173, 2023
English, International conference proceedings

Recallable Question Answering-Based Re-Ranking Considering Semantic Region for Cross-Modal Retrieval
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE OPEN JOURNAL OF SIGNAL PROCESSING, 4, 1, 11, 2023
English, Scientific journal

Interpretable Visual Question Answering Referring to Outside Knowledge.
He Zhu, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2303.04388, 2023
Scientific journal

Text-Guided Image Manipulation via Generative Adversarial Network With Referring Image Segmentation-Based Guidance.
Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
IEEE Access, 11, 42534, 42545, 2023
English, Scientific journal

Cross-Modal Image Retrieval Considering Semantic Relationships With Many-to-Many Correspondence Loss.
Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
IEEE Access, 11, 10675, 10686, 2023
English, Scientific journal

Similar interior coordination image retrieval with multi-view features
Ren Togo, Yuki Honma, Maiku Abe, Takahiro Ogawa, Miki Haseyama
International Journal of Multimedia Information Retrieval, 11, 4, 731, 740, 26 Aug. 2022
English, Scientific journal

Brain Decoding of Multiple Subjects for Estimating Visual Information Based on a Probabilistic Generative Model
Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
SENSORS, 22, 16, 6148, 6148, Aug. 2022
English, Scientific journal

Defect Detection of Subway Tunnels Using Advanced U-Net Network
An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama
SENSORS, 22, 6, 2330, 2330, Mar. 2022
English, Scientific journal

Microscopy and biomimetics: the NanoSuit® method and image retrieval platform
Takahiko Hariyama, Yasuharu Takaku, Hideya Kawasaki, Masatsugu Shimomura, Chiyo Senoh, Yumi Yamahama, Atsushi Hozumi, Satoru Ito, Naoto Matsuda, Satoshi Yamada, Toshiya Itoh, Miki Haseyama, Takahiro Ogawa, Naoki Mori, Shuhei So, Hidefumi Mitsuno, Masahiro Ohara, Shuhei Nomura, Masao Hirasaka
Microscopy, 71, 1, 1, 12, Oxford University Press (OUP), 29 Jan. 2022
Scientific journal, Abstract

This review aims to clarify a suitable method towards achieving next-generation sustainability. As represented by the term ‘Anthropocene’, the Earth, including humans, is entering a critical era; therefore, science has a great responsibility to solve it. Biomimetics, the emulation of the models, systems and elements of nature, especially biological science, is a powerful tool to approach sustainability problems. Microscopy has made great progress with the technology of observing biological and artificial materials and its techniques have been continuously improved, most recently through the NanoSuit® method. As one of the most important tools across many facets of research and development, microscopy has produced a large amount of accumulated digital data. However, it is difficult to extract useful data for making things as biomimetic ideas despite a large amount of biological data. Here, we would like to find a way to organically connect the indispensable microscopic data with the new biomimetics to solve complex human problems.

Popularity-Aware Graph Social Recommendation for Fully Non-Interaction Users.
Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Proceedings of the 4th ACM International Conference on Multimedia in Asia(MMAsia), 30, 5, ACM, 2022
International conference proceedings

Affective Embedding Framework with Semantic Representations from Tweets for Zero-Shot Visual Sentiment Prediction.
Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Proceedings of the 4th ACM International Conference on Multimedia in Asia(MMAsia), 6, 7, ACM, 2022
International conference proceedings

Visual Sentiment Prediction Using Cross-Way Few-Shot Learning Based on Knowledge Distillation.
Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
2022 IEEE International Conference on Image Processing(ICIP), 3838, 3842, IEEE, 2022
International conference proceedings

Human-Centric Image Retrieval with Gaze-Based Image Captioning.
Yuhu Feng, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
2022 IEEE International Conference on Image Processing(ICIP), 3828, 3832, IEEE, 2022
International conference proceedings

Few-Shot Personalized Saliency Prediction with Similarity of Gaze Tendency Using Object-Based Structural Information.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
2022 IEEE International Conference on Image Processing(ICIP), 3823, 3827, IEEE, 2022
International conference proceedings

Gaussian Distributed Graph Constrained Multi-Modal Gaussian Process Latent Variable Model for Ordinal Labeled Data.
Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
2022 IEEE International Conference on Image Processing(ICIP), 3798, 3802, IEEE, 2022
International conference proceedings

GCN-Based Multi-Modal Multi-Label Attribute Classification in Anime Illustration Using Domain-Specific Semantic Features.
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
2022 IEEE International Conference on Image Processing(ICIP), 2021, 2025, IEEE, 2022
International conference proceedings

Trend Prediction of Students' Mock Examination Results Using Matrix Completion.
Yutaka Yamada, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
11th IEEE Global Conference on Consumer Electronics(GCCE), 891, 892, IEEE, 2022
International conference proceedings

Shoot Event Prediction from Soccer Videos by Considering Players' Spatio-Temporal Relations.
Ryota Goka, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
11th IEEE Global Conference on Consumer Electronics(GCCE), 406, 407, IEEE, 2022
International conference proceedings

Refinement of Gaze-based Image Caption for Image Retrieval.
Yuhu Feng, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
11th IEEE Global Conference on Consumer Electronics(GCCE), 272, 273, IEEE, 2022
International conference proceedings

Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2212.09281, 2022
Scientific journal

COVID-19 Detection Based on Self-Supervised Transfer Learning Using Chest X-Ray Images.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2212.09276, 2022
Scientific journal

Union-set Multi-source Model Adaptation for Semantic Segmentation.
Zongyao Li, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2212.02785, 2022
Scientific journal

RGMIM: Region-Guided Masked Image Modeling for COVID-19 Detection.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2211.00313, 2022
Scientific journal

Rubber Material Retrieval System using Electron Microscope Images for Rubber Material Development.
Rintaro Yanagi, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
MMAsia, 44, 3, ACM, 2022
International conference proceedings

Disentangled Image Attribute Editing in Latent Space via Mask-Based Retention Loss.
Shunya Ohaga, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
MMAsia, 25, 7, ACM, 2022
International conference proceedings

Assessment of Image Manipulation Using Natural Language Description: Quantification of Manipulation Direction.
Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 1046, 1050, IEEE, 2022
International conference proceedings

Improving Model Adaptation for Semantic Segmentation by Learning Model-Invariant Features with Multiple Source-Domain Models.
Zongyao Li, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 421, 425, IEEE, 2022
International conference proceedings

A Multimodal Interpretable Visual Question Answering Model Introducing Image Caption Processor.
He Zhu, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 777, 778, IEEE, 2022
International conference proceedings

Cross-modal Image Retrieval Considering Semantic Relationships with Object Information.
Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 775, 776, IEEE, 2022
International conference proceedings

Free-viewpoint Sports Video Generation Based on Dynamic NeRF Considering Time Series.
Masato Kawai, Rintaro Yanagi, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 408, 409, IEEE, 2022
International conference proceedings

Content-based Image Retrieval Using Effective Synthesized Images from Different Camera Views via pixelNeRF.
Yuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 404, 405, IEEE, 2022
International conference proceedings

Analysis of Relationships between Visual Cognitive Contents and Response of Each Brain Region via Visual Question Answering.
Ryo Shichida, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 402, 403, IEEE, 2022
International conference proceedings

GCN-based Collaborative Filtering Considering Personality Bias.
Hiroki Okamura, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 278, 279, IEEE, 2022
International conference proceedings

Prediction of Amyloid-β Positivity Using QSM Images Based on Bootstrap Your Own Latent.
Tsubasa Kunieda, Ren Togo, Noriko Nishioka, Yukie Shimizu, Shiro Watanabe, Kenji Hirata, Keisuke Maeda, Takahiro Ogawa 0001, Kohsuke Kudo, Miki Haseyama
GCCE, 137, 138, IEEE, 2022
International conference proceedings

Cross-platform Recommendation Considering Common Users' Preferences Based on Preference Propagation GraphNet.
Kazuki Yamamoto, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 135, 136, IEEE, 2022
International conference proceedings

Union-Set Multi-source Model Adaptation for Semantic Segmentation.
Zongyao Li, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ECCV (29), 579, 595, Springer, 2022
International conference proceedings

Trial Analysis of the Relationship between Taste and Biological Information Obtained While Eating Strawberries for Sensory Evaluation.
Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Shin-ichi Adachi, Fumiaki Yoshizawa, Miki Haseyama
Sensors, 22, 23, 9496, 9496, 2022
Scientific journal

Distress Detection in Subway Tunnel Images via Data Augmentation Based on Selective Image Cropping and Patching.
Keisuke Maeda, Saya Takada, Tomoki Haruyama, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 22, 22, 8932, 8932, 2022
Scientific journal

Compressed gastric image generation based on soft-label dataset distillation for medical data sharing.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Comput. Methods Programs Biomed., 227, 107189, 107189, 2022
Scientific journal

Dataset Complexity Assessment Based on Cumulative Maximum Scaled Area Under Laplacian Spectrum.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2209.14743, 2022
Scientific journal

Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2209.14635, 2022
Scientific journal

Dataset Distillation using Parameter Pruning.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2209.14609, 2022
Scientific journal

Dataset Distillation for Medical Dataset Sharing.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2209.14603, 2022
Scientific journal

Gromov-Wasserstein Autoencoders.
Nao Nakagawa, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2209.07007, 2022
Scientific journal

TriBYOL: Triplet BYOL for Self-Supervised Representation Learning.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2206.03012, 2022
Scientific journal

Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
CoRR, abs/2206.03009, 2022
Scientific journal

Generating Captions of Imagined content from Human Brain Activities Applying An Image Captioning Model.
Saya Takada, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
4th IEEE Global Conference on Life Sciences and Technologies(LifeTech), 614, 615, IEEE, 2022
International conference proceedings

Knowledge-Guided Sequential Recommendation with Reinforcement Learning Using Empirical Distribution Function.
Keigo Sakurai, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
4th IEEE Global Conference on Life Sciences and Technologies(LifeTech), 187, 188, IEEE, 2022
International conference proceedings

Transformer Based Multimodal Scene Recognition in Soccer Videos.
Yaozong Gan, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICME Workshops, 1, 6, IEEE, 2022
International conference proceedings

Scene Retrieval in Soccer Videos by Spatial-temporal Attention with Video Vision Transformer.
Yaozong Gan, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICCE-TW, 453, 454, IEEE, 2022
International conference proceedings

Multi-scale Defect Detection from Subway Tunnel Images with Spatial Attention Mechanism.
An Wang, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICCE-TW, 305, 306, IEEE, 2022
International conference proceedings

Action Classification Based on LSTM Using First and Third Person Videos of Engineers Inspecting Bridges.
Tsuyoshi Masuda, Keisuke Maeda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICCE-TW, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 303, 304, IEEE, 2022

TriBYOL: Triplet BYOL for Self-Supervised Representation Learning.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 3458, 3462, IEEE, 2022
International conference proceedings

Divergence-Guided Feature Alignment for Cross-Domain Object Detection.
Zongyao Li, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 2240, 2244, IEEE, 2022
International conference proceedings

Self-Knowledge Distillation based Self-Supervised Learning for Covid-19 Detection from Chest X-Ray Images.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 1371, 1375, IEEE, 2022
International conference proceedings

Regularization Meets Enhanced Multi-Stage Fusion Features: Making CNN More Robust against White-Box Adversarial Attacks.
Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 22, 14, 5431, 5431, 2022
English, Scientific journal

Controllable Music Playlist Generation Based on Knowledge Graph and Reinforcement Learning.
Keigo Sakurai, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 22, 10, 3722, 3722, 2022
Scientific journal

Learning intra-domain style-invariant representation for unsupervised domain adaptation of semantic segmentation.
Zongyao Li, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Pattern Recognit., 132, 108911, 108911, 2022
Scientific journal

Dataset complexity assessment based on cumulative maximum scaled area under Laplacian spectrum.
Guang Li 0008, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
Multimedia Tools and Applications, 81, 22, 32287, 32303, 2022
Scientific journal

User-centric multimodal feature extraction for personalized retrieval of tumblr posts.
Kazuma Ohtomo, Ryosuke Harakawa, Takahiro Ogawa 0001, Miki Haseyama, Masahiro Iwahashi
Multimedia Tools and Applications, 81, 2, 2979, 3003, 2022
Scientific journal

Chain centre loss: A psychology inspired loss function for image sentiment analysis.
Yun Liang 0014, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Neurocomputing, 495, 118, 128, 2022
Scientific journal

Generative Adversarial Network Including Referring Image Segmentation For Text-Guided Image Manipulation.
Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 4818, 4822, 2022
English, International conference proceedings

Human Emotion Recognition Using Multi-Modal Biological Signals Based On Time Lag-Considered Correlation Maximization.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 4683, 4687, IEEE, 2022
International conference proceedings

Distributed Label Dequantized Gaussian Process Latent Variable Model for Multi-View Data Integration.
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 4643, 4647, 2022
English, International conference proceedings

Variational Bayesian Graph Convolutional Network for Robust Collaborative Filtering.
Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICASSP, 3908, 3912, IEEE, 2022
International conference proceedings

Time-Lag Aware Latent Variable Model for Prediction of Important Scenes Using Baseball Videos and Tweets.
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 22, 7, 2465, 2465, 2022
Scientific journal

Refining Graph Representation for Cross-Domain Recommendation Based on Edge Pruning in Latent Space.
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa 0001, Satoshi Asamizu, Miki Haseyama
IEEE Access, 10, 12503, 12509, 2022
Scientific journal

Interactive Re-ranking via Object Entropy-Guided Question Answering for Cross-Modal Image Retrieval.
Rintaro Yanagi, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
ACM Trans. Multim. Comput. Commun. Appl., 18, 3, 68, 17, 2022
English, Scientific journal

Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection.
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
Sensors, 22, 1, 382, 382, 2022
Scientific journal

Domain Adaptive Cross-Modal Image Retrieval via Modality and Domain Translations
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E104A, 6, 866, 875, Jun. 2021
English, Scientific journal

Database-adaptive Re-ranking for Enhancing Cross-modal Image Retrieval.
Rintaro Yanagi, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
MM '21: ACM Multimedia Conference, 3816, 3825, ACM, 2021
International conference proceedings

Interpretable Representation Learning on Natural Image Datasets via Reconstruction in Visual-Semantic Embedding Space.
Nao Nakagawa, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
2021 IEEE International Conference on Image Processing(ICIP), 2473, 2477, IEEE, 2021
International conference proceedings

Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information.
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa 0001, Satoshi Asamizu, Miki Haseyama
ICIP, 2688, 2692, IEEE, 2021
International conference proceedings

Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes.
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 2678, 2682, IEEE, 2021
International conference proceedings

Segmentation-Aware Text-Guided Image Manipulation.
Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 2433, 2437, IEEE, 2021
International conference proceedings

Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 1469, 1473, IEEE, 2021
International conference proceedings

Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization.
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 1209, 1213, IEEE, 2021
International conference proceedings

Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis.
Yun Liang 0014, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 1039, 1043, IEEE, 2021
International conference proceedings

Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures.
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
ICIP, 1014, 1018, IEEE, 2021
International conference proceedings

User Background Information-Aware Music Recommendation with Reinforcement Learning-Based Knowledge Graph Exploration.
Keigo Sakurai, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
IEEE International Conference on Consumer Electronics-Taiwan(ICCE-TW), 1, 2, IEEE, 2021
International conference proceedings

Degradation Level Estimation of Road Structures via Attention Branch Network with Text Data.
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
IEEE International Conference on Consumer Electronics-Taiwan(ICCE-TW), 1, 2, IEEE, 2021
International conference proceedings

Cross-view Self-supervised Learning via Momentum Statistics in Batch Normalization.
Guang Li, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
IEEE International Conference on Consumer Electronics-Taiwan(ICCE-TW), 1, 2, IEEE, 2021
International conference proceedings

Triplet Self-Supervised Learning for Gastritis Detection with Scarce Annotations.
Guang Li, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 787, 788, IEEE, 2021
International conference proceedings

Defense Against Image Captioning Attacks via A Robust and Stable Recurrent Neural Network.
Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 785, 786, IEEE, 2021
International conference proceedings

Text-Guided Image Manipulation for Desired Region Using Referring Image Segmentation.
Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 661, 662, IEEE, 2021
International conference proceedings

Multi-label Image Recognition Based on Multi-modal Graph Convolutional Networks Using Captioning Features.
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 273, 274, IEEE, 2021

A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway Tunnels.
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 204, 205, IEEE, 2021
International conference proceedings

Listener Recommendation for Artist Based on Knowledge Graph and Reinforcement Learning.
Keigo Sakurai, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 202, 203, IEEE, 2021
International conference proceedings

Movie Rating Estimation Based on Weakly Supervised Multi-modal Latent Variable Model.
Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 195, 196, IEEE, 2021
International conference proceedings

Detection of Off-screen Sound Based on Loss Function of Self-supervised Audio-visual Spatialization.
Masaki Yoshida, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 193, 194, IEEE, 2021
International conference proceedings

Visual Sentiment Prediction Using Few-shot Learning via Distribution Relations of Visual Features.
Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 191, 192, IEEE, 2021
International conference proceedings

Multi-class Similar Scene Retrieval in Soccer Videos: A Scene Confusion Reduction Method Based on Combination of Long and Short Frame Sequences.
Yaozong Gan, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 117, 118, IEEE, 2021
International conference proceedings

Sports Action Detection Based on Self-Supervised Feature Learning and Object Detection.
Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 54, 55, IEEE, 2021
International conference proceedings

Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data.
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa 0001, Satoshi Asamizu, Miki Haseyama
GCCE, 43, 44, IEEE, 2021
International conference proceedings

Estimating Imagined Images from Brain Activities via Visual Question Answering.
Saya Takada, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 35, 36, IEEE, 2021
International conference proceedings

Action Classification from Egocentric Videos Using Reinforcement Learning-based Pose Estimation.
Shunya Ohaga, Ren Togo, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 9, 10, IEEE, 2021
International conference proceedings

Graph Analysis-based Recommendation via Entity Embeddings Using Wikipedia.
Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
GCCE, 5, 6, IEEE, 2021
International conference proceedings

Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection.
Keisuke Maeda, Naoki Ogawa, Takahiro Ogawa 0001, Miki Haseyama
Journal of Imaging, 7, 12, 273, 273, 2021
Scientific journal

Feature Integration Through Semi-Supervised Multimodal Gaussian Process Latent Variable Model With Pseudo-Labels for Interest Level Estimation.
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama
IEEE Access, 9, 163843, 163850, 2021
Scientific journal

[Paper] Personalized Recommendation of Tumblr Posts Using Graph Convolutional Networks with Preference-aware Multimodal Features
Kazuma Ohtomo, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama, Masahiro Iwahashi
ITE Transactions on Media Technology and Applications, 9, 1, 54, 61, Institute of Image Information and Television Engineers, 2021
Scientific journal

A Proposal and Evaluation of a New Method Incorporating Indicators of Blood Flow and Resistance to Improve the Accuracy of Continuous Blood Pressure Estimation Using PPG
川上健, 川上健, 川上健, 住友和弘, 菅野厚博, 小川貴弘, 南重信, 長谷山美紀
電気学会論文誌 E, 141, 6, 2021

User-selectable Event Summarization in Unedited Raw Soccer Video via Multimodal Bidirectional LSTM
Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
ITE TRANSACTIONS ON MEDIA TECHNOLOGY AND APPLICATIONS, 9, 1, 42, 53, 2021
English, Scientific journal

Cross-domain Recommendation Based on Multilayer Graph Analysis Using Subgraph Representation
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY (IWAIT) 2021, 11766, 2021
English, International conference proceedings

Interest Estimation Method Based on 2D Pose Features on Security Camera
Yuki Honma, Ren Togo, Maiku Abe, Takahiro Ogawa, Miki Haseyama
INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY (IWAIT) 2021, 11766, 2021
English, International conference proceedings

Preliminary study of AI-assisted diagnosis using FDG-PET/CT for axillary lymph node metastasis in patients with breast cancer
Zongyao Li, Kazuhiro Kitajima, Kenji Hirata, Ren Togo, Junki Takenaka, Yasuo Miyoshi, Kohsuke Kudo, Takahiro Ogawa, Miki Haseyama
EJNMMI RESEARCH, 11, 1, Jan. 2021
English, Scientific journal

A Note on Detection of Sports Action Based on Temporal Cycle Consistency Learning
Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa, Miki Haseyama
INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY (IWAIT) 2021, 11766, 2021
English, International conference proceedings

Interior Coordination Image Retrieval with Object-Detection-Based and Color Features
Ren Togo, Takahiro Ogawa, Miki Haseyama
INTERNATIONAL WORKSHOP ON ADVANCED IMAGING TECHNOLOGY (IWAIT) 2021, 11766, 2021
English, International conference proceedings

Self-Supervised Learning for Gastritis Detection with Gastric X-Ray Images.
Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
CoRR, abs/2104.02864, 2021
Scientific journal

Soft-Label Anonymous Gastric X-ray Image Distillation.
Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
CoRR, abs/2104.02857, 305, 309, IEEE, 2021
Scientific journal

IR Questioner: QA-based Interactive Retrieval System.
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
ICMR '21: International Conference on Multimedia Retrieval(ICMR), 611, 614, 2021
English, International conference proceedings

Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2021 IEEE 3RD GLOBAL CONFERENCE ON LIFE SCIENCES AND TECHNOLOGIES (IEEE LIFETECH 2021), 67, 68, 2021
English, International conference proceedings

Music Playlist Generation Based on Graph Exploration Using Reinforcement Learning.
Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE 3RD GLOBAL CONFERENCE ON LIFE SCIENCES AND TECHNOLOGIES (IEEE LIFETECH 2021), 2021, 53, 54, 2021
English

Question Answering from Brain Activity Data via Decoder Based on Neural Networks.
Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
2021 IEEE 3RD GLOBAL CONFERENCE ON LIFE SCIENCES AND TECHNOLOGIES (IEEE LIFETECH 2021), 51, 52, 2021
English, International conference proceedings

Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis.
Yun Liang 0014, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 4150, 4154, IEEE, 2021
International conference proceedings

Feature Integration via Semi-Supervised Ordinally Multi-Modal Gaussian Process Latent Variable Model.
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 4130, 4134, IEEE, 2021
International conference proceedings

Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation.
Masanao Matsumoto, Keisuke Maeda, Naoki Saito 0006, Takahiro Ogawa, Miki Haseyama
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 3985, 3989, IEEE, 2021
International conference proceedings

Semantic-Aware Unpaired Image-to-Image Translation for Urban Scene Images.
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 2150, 2154, IEEE, 2021
International conference proceedings

Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder.
Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 1360, 1364, IEEE, 2021
International conference proceedings

Estimation of Visual Features of Viewed Image From Individual and Shared Brain Information Based on FMRI Data Using Probabilistic Generative Model.
Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 1335, 1339, 2021
English, International conference proceedings

Human-Centered Favorite Music Classification Using EEG-Based Individual Music Preference Via Deep Time-Series CCA.
Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama
IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 1320, 1324, IEEE, 2021
International conference proceedings

Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions.
Ren Togo, Naoki Saito 0006, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Sensors, 21, 6, 2088, 2088, 2021
English, Scientific journal

Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder.
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Sensors, 21, 6, 2045, 2045, 2021
English, Scientific journal

Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation.
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
Multim. Tools Appl., 80, 15, 23091, 23112, 2021
English, Scientific journal

Disentangled Representation Learning in Real-World Image Datasets via Image Segmentation Prior.
Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Access, 9, 110880, 110888, 2021
English, Scientific journal

Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis.
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE Access, 9, 84971, 84981, 2021
English, Scientific journal

Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts' Knowledge.
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE Access, 9, 65234, 65245, 2021
English, Scientific journal

Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models.
Ren Togo, Megumi Kotera, Takahiro Ogawa, Miki Haseyama
IEEE Access, 9, 64860, 64870, 2021
English, Scientific journal

Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI Data.
Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
IEEE Access, 9, 26593, 26606, 2021
English, Scientific journal

Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation.
Masanao Matsumoto, Naoki Saito 0006, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE Access, 9, 21810, 21822, 2021
English, Scientific journal

Chronic atrophic gastritis detection with a convolutional neural network considering stomach regions
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama
WORLD JOURNAL OF GASTROENTEROLOGY, 26, 25, 3650, 3659, Jul. 2020
English, Scientific journal

胃X線画像を用いたAIによるH.pylori感染識別と今後の展望　　　　　　　　　　　　　　　
藤後 廉, 小川 貴弘, 間部 克裕, 加藤 元嗣, 長谷山 美紀
日本消化器がん検診学会雑誌, 58, 2, 127, 127, (一社)日本消化器がん検診学会, Mar. 2020
Japanese

Multimodal Important Scene Detection in Far-view Soccer Videos Based on Single Deep Neural Architecture
Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
ITE TRANSACTIONS ON MEDIA TECHNOLOGY AND APPLICATIONS, 8, 2, 89, 99, 2020
English, Scientific journal

Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight Generation
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 1, 2, 2020
English, International conference proceedings

Interpretable Convolutional Neural Network Including Attribute Estimation for Image Classification
Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
ITE TRANSACTIONS ON MEDIA TECHNOLOGY AND APPLICATIONS, 8, 2, 111, 124, 2020
English, Scientific journal

Image Retrieval Based on Supervised Local Regression and Global Alignment with Relevance Feedback for Insect Identification
Keisuke Maeda, Susumu Genma, Takahiro Ogawa, Miki Haseyama
ITE TRANSACTIONS ON MEDIA TECHNOLOGY AND APPLICATIONS, 8, 3, 140, 150, 2020
English, Scientific journal

Estimation of Person-Specific Visual Attention via Selection of Similar Persons
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 1, 2, 2020
English, International conference proceedings

A Method for Player Importance Prediction from Player Network Using Gaze Position Estimated by LSTM
Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
ITE TRANSACTIONS ON MEDIA TECHNOLOGY AND APPLICATIONS, 8, 3, 151, 160, 2020
English, Scientific journal

An Estimation Method of Candidate Region for Superimposing Information Based on Gaze Tracking Data in Soccer Videos
Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 1, 2, 2020
English, International conference proceedings

Image Retrieval with Data Augmentation of Sentence Labels Based on Paraphrasing
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TAIWAN), 1, 2, 2020
English, International conference proceedings

Interactive re-ranking for cross-modal retrieval based on object-wise question answering.
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
MMAsia 2020: ACM Multimedia Asia(MMAsia), 37, 7, ACM, 2020
International conference proceedings

Similar scene retrieval in soccer videos with weak annotations by multimodal use of bidirectional LSTM.
Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
MMAsia 2020: ACM Multimedia Asia(MMAsia), 27, 8, ACM, 2020
International conference proceedings

Quantitative Analysis of Engineer's Skill Using Wearable Sensor Data while Inspecting Highway Bridge.
Genki Suzuki, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2nd IEEE Global Conference on Life Sciences and Technologies(LifeTech), 111, 112, IEEE, 2020
International conference proceedings

Estimating Viewed Images with Natural Language Question Answering from fMRI Data.
Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
2nd IEEE Global Conference on Life Sciences and Technologies(LifeTech), 99, 100, IEEE, 2020
International conference proceedings

Distress Level Classification of Road Infrastructures via CNN Generating Attention Map.
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2nd IEEE Global Conference on Life Sciences and Technologies(LifeTech), 97, 98, IEEE, 2020
International conference proceedings

Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCA.
Masanao Matsumoto, Naoki Saito 0006, Takahiro Ogawa, Miki Haseyama
2nd IEEE Global Conference on Life Sciences and Technologies(LifeTech), 3, 4, IEEE, 2020
International conference proceedings

Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation.
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW), 1, 6, 2020
English, International conference proceedings

Generation of Viewed Image Captions From Human Brain Activity Via Unsupervised Text Latent Space.
Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2521, 2525, 2020
English, International conference proceedings

Multimodal Image-to-Image Translation for Generation of Gastritis Images.
Ren Togo, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2466, 2470, 2020
English, International conference proceedings

Image Retrieval With Lingual And Visual Paraphrasing Via Generative Models.
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2431, 2435, 2020
English, International conference proceedings

Variational Autoencoder Based Unsupervised Domain Adaptation For Semantic Segmentation.
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2426, 2430, 2020
English, International conference proceedings

Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization.
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 1236, 1240, 2020
English, International conference proceedings

Soft-Label Anonymous Gastric X-Ray Image Distillation.
Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 305, 309, 2020
English, International conference proceedings

Estimation Of Visual Contents Based On Question Answering From Human Brain Activity.
Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 61, 65, 2020
English, International conference proceedings

Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment.
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 46, 50, 2020
English, International conference proceedings

Unsupervised Domain Adaptation for Semantic Segmentation with Symmetric Adaptation Consistency.
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2263, 2267, 2020
English, International conference proceedings

Multi-View Bayesian Generative Model for Multi-Subject FMRI Data on Brain Decoding of Viewed Image Categories.
Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 1215, 1219, 2020
English, International conference proceedings

Interest Level Estimation Based on Feature Integration Considering Distribution of Partially Paired User's Behavior, Videos and Posters.
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
9th IEEE Global Conference on Consumer Electronics(GCCE), 944, 945, IEEE, 2020
International conference proceedings

Music Playlist Generation Based on Reinforcement Learning Using Acoustic Feature Map.
Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
9th IEEE Global Conference on Consumer Electronics(GCCE), 942, 943, IEEE, 2020
International conference proceedings

Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCA.
Yun Liang 0014, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
9th IEEE Global Conference on Consumer Electronics(GCCE), 940, 941, IEEE, 2020
International conference proceedings

Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed Objects.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
9th IEEE Global Conference on Consumer Electronics(GCCE), 745, 746, IEEE, 2020
International conference proceedings

Estimation of Viewed Images Using Individual and Shared Brain Responses.
Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
9th IEEE Global Conference on Consumer Electronics(GCCE), 716, 717, IEEE, 2020
International conference proceedings

Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item Embedding.
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
9th IEEE Global Conference on Consumer Electronics(GCCE), 714, 715, IEEE, 2020
International conference proceedings

Question Answering for Estimation of Seen Image Contents from Multi-subject fMRI Responses.
Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
9th IEEE Global Conference on Consumer Electronics(GCCE), 712, 713, IEEE, 2020
International conference proceedings

Face Synthesis via User Manipulation of Disentangled Latent Representation.
Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama
9th IEEE Global Conference on Consumer Electronics(GCCE), 692, 693, IEEE, 2020
International conference proceedings

Complexity Evaluation of Medical Image Data for Classification Problem Based on Spectral Clustering.
Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
9th IEEE Global Conference on Consumer Electronics(GCCE), 667, 669, IEEE, 2020
International conference proceedings

Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTM.
Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
9th IEEE Global Conference on Consumer Electronics(GCCE), 636, 637, IEEE, 2020
International conference proceedings

Brain Decoding of Viewed Image Categories via Semi-Supervised Multi-View Bayesian Generative Model.
Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
IEEE Trans. Signal Process., 68, 5769, 5781, 2020
English, Scientific journal

Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Sensors, 20, 8, 2170, 2170, 2020
English, Scientific journal

Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Sensors, 20, 7, 2146, 2146, 2020
English, Scientific journal

Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training.
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
Medical Biol. Eng. Comput., 58, 6, 1239, 1250, 2020
English, Scientific journal

Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation.
Keisuke Maeda, Kazaha Horii, Takahiro Ogawa, Miki Haseyama
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 103-A, 12, 1609, 1612, 2020
English, Scientific journal

Inpainting via Sparse Representation Based on a Phaseless Quality Metric.
Takahiro Ogawa, Keisuke Maeda, Miki Haseyama
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 103-A, 12, 1541, 1551, 2020
English, Scientific journal

Heterogeneous-Graph-Based Video Search Reranking Using Topic Relevance.
Soh Yoshida, Mitsuji Muneyasu, Takahiro Ogawa, Miki Haseyama
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 103-A, 12, 1529, 1540, 2020
English, Scientific journal

Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examination.
Ren Togo, Haruna Watanabe, Takahiro Ogawa, Miki Haseyama
Comput. Biol. Medicine, 123, 103903, 103903, 2020
English, Scientific journal

Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE Access, 8, 203358, 203368, 2020
English, Scientific journal

Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection.
Keisuke Maeda, Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
IEEE Access, 8, 126109, 126118, 2020
English, Scientific journal

Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration.
Keisuke Maeda, Yoshiki Ito, Takahiro Ogawa, Miki Haseyama
IEEE Access, 8, 114340, 114353, 2020
English, Scientific journal

Enhancing Cross-Modal Retrieval Based on Modality-Specific and Embedding Spaces.
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Access, 8, 96777, 96786, 2020
English, Scientific journal

Context-Aware Network Analysis of Music Streaming Services for Popularity Estimation of Artists.
Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
IEEE Access, 8, 48673, 48685, 2020, [Peer-reviewed]
English, Scientific journal

Retrieval of similar scenes based on multimodal distance metric learning in soccer videos
Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
MMSports 2019 - Proceedings of the 2nd International Workshop on Multimedia Content Analysis in Sports, co-located with MM 2019, 10, 15, ACM, 15 Oct. 2019, [Peer-reviewed]
International conference proceedings

Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features
K. Hirasawa, K. Maeda, T. Ogawa, M. Haseyama
IEEE Global Conference on Consumer Electronics (GCCE), 663, 664, IEEE, Oct. 2019, [Peer-reviewed]
English, International conference proceedings

Region-based Distress Classification of Road Infrastructures via CNN Without Region Annotation
N. Ogawa, K. Maeda, T. Ogawa, M. Haseyama
IEEE Global Conference on Consumer Electronics (GCCE), 764, 765, IEEE, Oct. 2019, [Peer-reviewed]
English, International conference proceedings

Aesthetic style transfer through text-to-image synthesis and image-to-image translation
Megumi Kotera, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Global Conference on Consumer Electronics (GCCE), 492, 493, IEEE, Oct. 2019, [Peer-reviewed]
English, International conference proceedings

Voice-input multimedia information retrieval system based on text-to-image GAN
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Global Conference on Consumer Electronics (GCCE), 943, 944, IEEE, Oct. 2019, [Peer-reviewed]
English, International conference proceedings

Estimation of drilling energy from tunnel cutting face image based on online learning
Kentaro Yamamoto, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Global Conference on Consumer Electronics (GCCE), 77, 1, 794, 795, IEEE, Oct. 2019, [Peer-reviewed]
English

Detection of distress region from subway tunnel images via U-net-based deep semantic segmentation
An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Global Conference on Consumer Electronics (GCCE), 766, 767, IEEE, Oct. 2019, [Peer-reviewed]
English, International conference proceedings

Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Proceedings - International Conference on Image Processing, ICIP, 2019-September, 4105, 4109, Sep. 2019, [Peer-reviewed]
English, International conference proceedings

Scene Retrieval for Video Summarization Based on Text-to-Image gan
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
Proceedings - International Conference on Image Processing, ICIP, 2019-September, 1825, 1829, Sep. 2019, [Peer-reviewed]
English, International conference proceedings

Gastritis Detection from Gastric X-Ray Images Via Fine-Tuning of Patch-Based Deep Convolutional Neural Network
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama
Proceedings - International Conference on Image Processing, ICIP, 2019-September, 1371, 1375, Sep. 2019, [Peer-reviewed]
English, International conference proceedings

Neural Network Maximizing Ordinally Supervised Multi-View Canonical Correlation for Deterioration Level Estimation
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
Proceedings - International Conference on Image Processing, ICIP, 2019-September, 919, 923, Sep. 2019, [Peer-reviewed]
English, International conference proceedings

Convolutional sparse coding-based deep random vector functional link network for distress classification of road structures
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
Computer-Aided Civil and Infrastructure Engineering, 34, 8, 654, 676, Aug. 2019, [Peer-reviewed]
English, Scientific journal

Bilingual Lexicon Learning Using Tagged Images via Graph Trilateral Filter-based Feature Refinement
Yui Matsumoto, Shota Hamano, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019, May 2019
International conference proceedings

Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos
Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), IEEE, May 2019
International conference proceedings

User-Specific Visual Attention Estimation Based on Visual Similarity and Spatial Information in Images　　　　　　　　　　　　　　　
Y. Moroto, K. Maeda, T. Ogawa, M. Haseyama
IEEE International Conference on Consumer Electronics – Taiwan (ICCE-TW), 479, 480, May 2019, [Peer-reviewed]
English, International conference proceedings

Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis
Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2019-May, 1105, 1109, May 2019, [Peer-reviewed]
English, International conference proceedings

Extraction of regions related to cardiac sarcoidosis in polar map images
Ren Togo, Takahiro Ogawa, Osamu Manabe, Kenji Hirata, Tohru Shiga, Miki Haseyama
2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, 237, 238, IEEE, Mar. 2019, [Peer-reviewed]
International conference proceedings

Estimation of emotions evoked by images based on multiple gaze-based CNN features
Taiga Matsui, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, 194, 195, IEEE, Mar. 2019, [Peer-reviewed]
International conference proceedings

Estimation of users' interest levels using tensor completion with SemiCCA
Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, 239, 240, IEEE, Mar. 2019, [Peer-reviewed]
International conference proceedings

Classification of subcellular protein patterns in human cells with transfer learning
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, 273, 274, IEEE, Mar. 2019, [Peer-reviewed]
International conference proceedings

Estimation of visual attention via canonical correlation between visual and gaze-based features
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, 229, 230, IEEE, Mar. 2019, [Peer-reviewed]
International conference proceedings

Chronic gastritis detection from gastric X-ray images via deep autoencoding Gaussian mixture models
Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, 231, 232, IEEE, Mar. 2019, [Peer-reviewed]
International conference proceedings

Fine-tuning of pre-trained DCNN for gastritis detection from gastric X-ray images
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama
2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, 196, 197, IEEE, Mar. 2019, [Peer-reviewed]
International conference proceedings

Bone metastatic tumor detection based on AnoGAN using CT images
Haruna Watanabe, Ren Togo, Takahiro Ogawa, Miki Haseyama
2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, 235, 236, IEEE, Mar. 2019, [Peer-reviewed]
International conference proceedings

Semi-supervised discriminative CCA for estimating viewed image categories from fMRI data
Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, 233, 234, IEEE, Mar. 2019, [Peer-reviewed]
International conference proceedings

Video classification based on user preferences with soft-bag multiple instance learning
Akira Toyoda, Takahiro Ogawa, Miki Haseyama
2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019, 198, 199, IEEE, Mar. 2019, [Peer-reviewed]
International conference proceedings

The Friction Properties of Firebrat Scales
Yuji Hirai, Naoto Okuda, Naoki Saito, Takahiro Ogawa, Ryuichiro Machida, Shuhei Nomura, Masahiro Ohara, Miki Haseyama, Masatsugu Shimomura
BIOMIMETICS, 4, 1, Jan. 2019
English, Scientific journal

Multimodal Retrieval of Similar Soccer Videos Based on Optimal Combination of Multiple Distance Measures.
Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
IEEE 8th Global Conference on Consumer Electronics(GCCE), 665, 666, IEEE, 2019
International conference proceedings

Similarity Calculation Based on Pass Regions in Soccer Videos.
Sho Takahashi, Marco Bertini, Alberto Del Bimbo, Miki Haseyama, Toru Hagiwara
IEEE 8th Global Conference on Consumer Electronics(GCCE), 515, 516, IEEE, 2019
International conference proceedings

Interest Estimation for Images Based on Eye Gaze-based Visual and Text Features.
Masanao Matsumoto, Naoki Saito 0006, Takahiro Ogawa, Miki Haseyama
IEEE 8th Global Conference on Consumer Electronics(GCCE), 481, 482, IEEE, 2019
International conference proceedings

Performance Prediction Method of Examinees Based on Matrix Completion.
Yutaka Yamada, Takahiro Ogawa, Miki Haseyama
IEEE 8th Global Conference on Consumer Electronics(GCCE), 229, 230, IEEE, 2019, [Peer-reviewed]
International conference proceedings

Estimating Viewed Image Categories from fMRI Activity via Multi-view Bayesian Generative Model.
Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
IEEE 8th Global Conference on Consumer Electronics(GCCE), 127, 128, IEEE, 2019, [Peer-reviewed]
International conference proceedings

The Extraction of Individual Music Preference Based on Deep Time-series CCA.
Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama
IEEE 8th Global Conference on Consumer Electronics(GCCE), 15, 16, IEEE, 2019, [Peer-reviewed]
International conference proceedings

Estimation of User-Specific Visual Attention Based on Gaze Information of Similar Users.
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
IEEE Global Conference on Consumer Electronics (GCCE), 477, 478, IEEE, 2019, [Peer-reviewed]
English, International conference proceedings

Effectiveness Evaluation of Deep Features for Image Reconstruction from fMRI Signals.
Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Global Conference on Consumer Electronics (GCCE), 479, 480, IEEE, 2019, [Peer-reviewed]
English, International conference proceedings

Scene Retrieval Using Text-to-image GAN-based Visual Similarities and Image-to-text Model-based Textual Similarities.
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Global Conference on Consumer Electronics (GCCE), 13, 14, IEEE, 2019, [Peer-reviewed]
English, International conference proceedings

Query is GAN: Scene Retrieval with Attentional Text-To-Image Generative Adversarial Network
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Access, 7, 153183, 153193, 2019, [Peer-reviewed]
English, Scientific journal

Synthetic gastritis image generation via loss function-based conditional pggan
Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Access, 7, 87448, 87457, 2019, [Peer-reviewed]
English, Scientific journal

Semi-Supervised Learning Based on Tri-Training for Gastritis Classification using Gastric X-ray Images.
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE International Symposium on Circuits and Systems, ISCAS 2019, Sapporo, Japan, May 26-29, 2019, 1, 5, 2019, [Peer-reviewed]
English, International conference proceedings

Synthetic Image Generation for Gastritis Detection Based on Auxiliary Classifier Generative Adversarial Network.
Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE International Symposium on Circuits and Systems, ISCAS 2019, Sapporo, Japan, May 26-29, 2019, 1, 5, 2019, [Peer-reviewed]
English, International conference proceedings

Text-to-Image GAN-Based Scene Retrieval and Re-Ranking Considering Word Importance.
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
IEEE Access, 7, 169920, 169930, 2019, [Peer-reviewed]
English, Scientific journal

Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection Model.
Ren Togo, Naoki Saito 0006, Takahiro Ogawa, Miki Haseyama
IEEE Access, 7, 162395, 162404, 2019, [Peer-reviewed]
English, Scientific journal

Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection.
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019, 3936, 3940, 2019, [Peer-reviewed]
English, International conference proceedings

Team Tactics Estimation in Soccer Videos Based on a Deep Extreme Learning Machine and Characteristics of the Tactics.
Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
IEEE Access, 7, 153238, 153248, 2019, [Peer-reviewed]
English, Scientific journal

Interest Level Estimation Based on Tensor Completion via Feature Integration for Partially Paired User's Behavior and Videos.
Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
IEEE Access, 7, 148576, 148585, 2019, [Peer-reviewed]
English, Scientific journal

Consensus Clustering of Tweet Networks via Semantic and Sentiment Similarity Estimation.
Ryosuke Harakawa, Shoji Takimura, Takahiro Ogawa, Miki Haseyama, Masahiro Iwahashi
IEEE Access, 7, 116207, 116217, 2019, [Peer-reviewed]
English, Scientific journal

Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network.
Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
IEEE Access, 7, 104155, 104167, 2019, [Peer-reviewed]
English, Scientific journal

Scene Retrieval from Multiple Resolution Generated Images Based on Text-to-image GAN
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 1, 5, 2019, [Peer-reviewed]
English, International conference proceedings

Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps.
Ren Togo, Kenji Hirata, Osamu Manabe, Hiroshi Ohira, Ichizo Tsujino, Keiichi Magota, Takahiro Ogawa, Miki Haseyama, Tohru Shiga
Computers in biology and medicine, 104, 81, 86, Jan. 2019, [Peer-reviewed], [International Magazine]
English, Scientific journal

Distress classification of class-imbalanced inspection data via correlation-maximizing weighted extreme learning machine
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
Advanced Engineering Informatics, 37, 79, 87, 01 Aug. 2018, [Peer-reviewed]
English, Scientific journal

Strategy to develop convolutional neural network-based classifier for diagnosis of whole-body FDG PET images
Keisuke Kawauchi, Kenji Hirata, Seiya Ichikawa, Osamu Manabe, Kentaro Kobayashi, Shiro Watanabe, Miki Haseyama, Takahiro Ogawa, Ren Togo, Tohru Shiga, Chietsugu Katoh
Society of Nuclear Medicine and Molecular Imaging Annual Meeting (SNMMI), 59, Jun. 2018, [Peer-reviewed]
English, International conference proceedings

Use of deep convolutional neural network-based features for detection of cardiac sarcoidosis from polar map
Ren Togo, Kenji Hirata, Osamu Manabe, Hiroshi Ohira, Ichizo Tsujino, Takahiro Ogawa, Miki Haseyama, Tohru Shiga
Society of Nuclear Medicine and Molecular Imaging Annual Meeting (SNMMI), 59, Jun. 2018, [Peer-reviewed]
English, International conference proceedings

Estimating the quality of fractal compressed images using lacunarity
Megumi Takezawa, Hirofumi Sanada, Takahiro Ogawa, Miki Haseyama
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E101A, 6, 900, 903, 01 Jun. 2018, [Peer-reviewed]
English, International conference proceedings

Graph-Based Video Search Reranking with Local and Global Consistency Analysis
Soh Yoshida, Takahiro Ogawa, Miki Haseyama, Mitsuji Muneyasu
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E101D, 5, 1430, 1440, May 2018, [Peer-reviewed]
English, Scientific journal

映像情報メディア年報2017シリーズ(第8回)メディア工学の研究動向
長谷山 美紀, 河村 圭, 田良島 周平, 新井 啓之
映像情報メディア学会誌, Vol.72, No.2, pp.241-246, Mar. 2018
Japanese, Scientific journal, 本稿では、(1) 拡張現実・仮想現実の研究動向、(2) 深層学習の研究動向と実用展開、(3) IoT とメディア処理、等、メディア工学分野の研究動向を紹介する。(1)については、デプスセンサやヘッドマウントディスプレイ等のデバイスの登場と性能向上を踏まえつつ、これらを活用した研究開発の進展と動向を紹介する。(2) については、加速度的に進む画像映像メディアへの深層学習技術の適用について、具体的に画像分類や物体検出、さらには画像検索から教師データの検討、実用展開に至るまでを解説する。(3)では、(2) を受けてメディア工学の分野でAI 技術と相乗効果を生み出すIoT 技術について解説する。

A Novel Framework for Estimating Viewer Interest by Unsupervised Multimodal Anomaly Detection
Yuma Sasaka, Takahiro Ogawa, Miki Haseyama
IEEE Access, 6, 8340, 8350, 09 Feb. 2018, [Peer-reviewed]
English, Scientific journal

Accurate estimation of personalized video preference using multiple users' viewing behavior
Yoshiki Ito, Takahiro Ogawa, Miki Haseyama
IEICE Transactions on Information and Systems, E101D, 2, 481, 490, 01 Feb. 2018, [Peer-reviewed]
English, Scientific journal

Media engineering
Miki Haseyama, Kei Kawamura, Shuhei Tarashima, Hiroyuki Arai
Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 72, 3, 241, 246, Inst. of Image Information and Television Engineers, 2018
Japanese, Scientific journal

Sentiment-aware personalized tweet recommendation through multimodal FFM
Ryosuke Harakawa, Daichi Takehara, Takahiro Ogawa, Miki Haseyama
Multimedia Tools and Applications, 77, 14, 18741, 18759, 2018, [Peer-reviewed]
English, Scientific journal

Favorite Video Estimation Based on Multiview Feature Integration via KMvLFDA.
Array,Array,Miki Haseyama
IEEE Access, 6, 63833, 63842, 2018, [Peer-reviewed]
English, Scientific journal

Favorite Video Classification Based on Multimodal Bidirectional LSTM.
Array,Array, Keisuke Maeda, Miki Haseyama
IEEE Access, 6, 61401, 61409, 2018, [Peer-reviewed]
English, Scientific journal

Selection of Significant Brain Regions Based on MvGTDA and TS-DLF for Emotion Estimation.
Array,Array,Miki Haseyama
IEEE Access, 6, 32481, 32492, 2018, [Peer-reviewed]
English, Scientific journal

A Language-Independent Ontology Construction Method Using Tagged Images in Folksonomy.
Array,Takahiro Ogawa, Miki Haseyama
IEEE Access, 6, 2930, 2942, 2018, [Peer-reviewed]
Scientific journal

Tracking topic evolution via salient keyword matching with consideration of semantic broadness for Web video discovery
Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
Multimedia Tools and Applications, 77, 16, 1, 28, 06 Dec. 2017, [Peer-reviewed]
English, Scientific journal

Extracting hierarchical structure of content groups from different social media platforms using multiple social metadata
Daichi Takehara, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
MULTIMEDIA TOOLS AND APPLICATIONS, 76, 19, 20249, 20272, Oct. 2017, [Peer-reviewed]
English, Scientific journal

Wiener-Based Inpainting Quality Prediction
Takahiro Ogawa, Akira Tanaka, Miki Haseyama
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E100D, 10, 2614, 2626, Oct. 2017, [Peer-reviewed]
English, Scientific journal

Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis
Kohei Tateno, Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E100D, 9, 2005, 2016, Sep. 2017, [Peer-reviewed]
English, Scientific journal

Biomimetics Image Retrieval Platform
Miki Haseyama, Takahiro Ogawa, Sho Takahashi, Shuhei Nomura, Masatsugu Shimomura
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E100D, 8, 1563, 1573, Aug. 2017, [Peer-reviewed]
English, Scientific journal

Deterioration Level Estimation on Transmission Towers via Extreme Learning Machine based on Combination Use of Local Receptive Field and Principal Component Analysis　　　　　　　　　　　　　　　
K. Maeda, S. Takahashi, T. Ogawa, M. Haseyama
International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), 457, 458, Jul. 2017, [Peer-reviewed]
English, International conference proceedings

Effectiveness Evaluation of Imaging Direction for Estimation of Gastritis Regions on Gastric X-ray Images　　　　　　　　　　　　　　　
Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
International Technical Conference on Circuits, Systems, Computers, and Communications (ITC-CSCC), 459, 460, May 2017, [Peer-reviewed]
English, International conference proceedings

Helicobacter Pylori infection detection from gastric X-ray images based on feature fusion and decision fusion
Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
COMPUTERS IN BIOLOGY AND MEDICINE, 84, 69, 78, May 2017, [Peer-reviewed]
English, Scientific journal

Tracking hierarchical structure of web video groups based on salient keyword matching including semantic broadness estimation
Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings, 1238, 1242, Institute of Electrical and Electronics Engineers Inc., 19 Apr. 2017, [Peer-reviewed]
English, International conference proceedings

Distress Classification of Class Imbalanced Data for Maintenance Inspection of Road Structures in Express Way　　　　　　　　　　　　　　　
K. Maeda, S. Takahashi, T. Ogawa, M. Haseyama
International Conference on Civil and Building Engineering Informatics in conjunction with Conference on Computer Applications in Civil and Hydraulic Engineering (ICCBEI & CCACHE), 182, 185, Apr. 2017, [Peer-reviewed]
English, International conference proceedings

Human-Centered Video Feature Selection via mRMR-SCMMCCA for Preference Extraction
Takahiro Ogawa, Yoshiaki Yamaguchi, Satoshi Asamizu, Miki Haseyama
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E100D, 2, 409, 412, Feb. 2017, [Peer-reviewed]
English, Scientific journal

PERSONALIZED VIDEO PREFERENCE ESTIMATION BASED ON EARLY FUSION USING MULTIPLE USERS'VIEWING BEHAVIOR
Yoshiki Ito, Takahiro Ogawa, Miki Haseyama
2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 3006, 3010, 2017, [Peer-reviewed]
English, International conference proceedings

EXEMPLAR-BASED IMAGE COMPLETION VIA NEW QUALITY MEASURE BASED ON PHASELESS TEXTURE FEATURES
Takahiro Ogawa, Miki Haseyama
2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 1827, 1831, 2017, [Peer-reviewed]
English, International conference proceedings

EMOTION ESTIMATION VIA TENSOR-BASED SUPERVISED DECISION-LEVEL FUSION FROM MULTIPLE BRODMANN AREAS
Kento Sugata, Takahiro Ogawa, Miki Haseyama
2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 999, 1003, 2017, [Peer-reviewed]
English, International conference proceedings

Extracting Hierarchical Structure of Web Video Groups Based on Sentiment-Aware Signed Network Analysis
Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
IEEE ACCESS, 5, 16963, 16973, 2017, [Peer-reviewed]
English, Scientific journal

Retrieval of similar inspection records based on metric learning using experienced inspectors' evaluation
Ryota Saito, Sho Takahashi, Takahiro Ogawa, Miki Hasayama
2016 IEEE 5th Global Conference on Consumer Electronics, GCCE 2016, 1, 2, Institute of Electrical and Electronics Engineers Inc., 27 Dec. 2016, [Peer-reviewed]
English, International conference proceedings

Adaptive Subspace-Based Inverse Projections via Division Into Multiple Sub-Problems for Missing Image Data Restoration
Takahiro Ogawa, Miki Haseyama
IEEE TRANSACTIONS ON IMAGE PROCESSING, 25, 12, 5971, 5986, Dec. 2016, [Peer-reviewed]
English, Scientific journal

A Web video retrieval method using hierarchical structure of Web video groups
Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
MULTIMEDIA TOOLS AND APPLICATIONS, 75, 24, 17059, 17079, Dec. 2016, [Peer-reviewed]
English, Scientific journal

Performance Improvement of Error-Resilient 3D DWT Video Transmission Using Invertible Codes
Kotoku Omura, Shoichiro Yamasaki, Tomoko K. Matsushima, Hirokazu Tanaka, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E99A, 12, 2256, 2265, Dec. 2016, [Peer-reviewed]
English, Scientific journal

Classifying Insects from SEM Images Based on Optimal Classifier Selection and D-S Evidence Theory
Takahiro Ogawa, Akihiro Takahashi, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E99A, 11, 1971, 1980, Nov. 2016, [Peer-reviewed]
English, Scientific journal

Estimation of salient regions related to chronic gastritis using gastric X-ray images
Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
COMPUTERS IN BIOLOGY AND MEDICINE, 77, 9, 15, Oct. 2016, [Peer-reviewed]
English, Scientific journal

Category Classification of Tourism Images in Image Sharing Services
SAITO Naoki, OGAWA Takahiro, ASAMIZU Satoshi, HASEYAMA Miki
電子情報通信学会論文誌D 情報・システム, J99-D, 9, 848, 860, The Institute of Electronics, Information and Communication Engineers, 01 Sep. 2016, [Peer-reviewed]
Japanese, In this paper, we propose a category classification method of tourism images in image sharing services. First, the proposed method performs classification of tourism images by applying a fuzzy K-nearest neighbor algorithm to the location feature vectors and newly estimates their confidence measures. Second, if the confidence measures of the classification results are lower, the proposed method performs decision level fusion of related visual and textual tag feature vectors to obtain final classification results. Consequently, the proposed method enables successful integration of multiple classification results obtained from the several kinds of features based on the above two stage classification scheme.

NMF-Based Spectral Reflectance Estimation From Image Pairs Including Near-Infrared Components
Takahiro Ogawa, Yuta Igarashi, Miki Haseyama
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 26, 5, 855, 867, May 2016, [Peer-reviewed]
English, Scientific journal

A Most Resource-Consuming Disease Estimation Method from Electronic Claim Data Based on Labeled LDA
Yasutaka Hatakeyama, Takahiro Ogawa, Hironori Ikeda, Miki Haseyama
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E99D, 3, 763, 768, Mar. 2016, [Peer-reviewed]
English, Scientific journal

Distress Classification of Road Structures via Multiple Classifier-based Bayesian Network　　　　　　　　　　　　　　　
K. Maeda, S. Takahashi, T. Ogawa, M. Haseyama
International Workshop on Advanced Image Technology (IWAIT), 1, 4, 2016, [Peer-reviewed]
English, International conference proceedings

6. Visualization Methods for Encourage Experience of Sports in Soccer Videos
Takahashi Sho, Haseyama Miki
The Journal of The Institute of Image Information and Television Engineers, 70, 9, 722, 724, 一般社団法人 映像情報メディア学会, 2016
Japanese

Multimodal Interest Level Estimation via Variational Bayesian Mixture of Robust CCA
Yuma Sasaka, Takhiro Ogawa, Miki Haseyama
MM'16: PROCEEDINGS OF THE 2016 ACM MULTIMEDIA CONFERENCE, 387, 391, 2016, [Peer-reviewed]
English, International conference proceedings

Realization of Associative Image Search Development of Image Retrieval Platform for Enhancing Serendipity
Miki Haseyama
2016 IEEE 46TH INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC (ISMVL 2016), 56, 59, 2016, [Peer-reviewed]
English, International conference proceedings

A Virtual Vital Signs Sensor "MIRUWS" for Visualization of Healthy to Illness Transition (HIT)
Shigenobu Minami, Miki Haseyama, Hirokazu Tanaka, Toru Takahashi, Tatsuya Komori
2016 10TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION AND COMMUNICATION TECHNOLOGY (ISMICT), 1, 5, 2016, [Peer-reviewed]
English, International conference proceedings

An Accurate Mortality Prediction Method Based on Decision-level Fusion of Existing ICU Scoring Systems
Yasutaka Hatakeyama, Takahiro Ogawa, Hirokazu Tanaka, Miki Haseyama
PROCEEDINGS OF 2016 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS (ISITA 2016), 126, 130, 2016, [Peer-reviewed]
English, International conference proceedings

GRAPH-BASED WEB VIDEO SEARCH RERANKING THROUGH CONSISTENCY ANALYSIS USING SPECTRAL CLUSTERING
Soh Yoshida, Takahiro Ogawa, Miki Haseyaina
2016 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO (ICME), 1, 6, 2016, [Peer-reviewed]
English, International conference proceedings

HIERARCHICAL CONTENT GROUP DETECTION FROM DIFFERENT SOCIAL MEDIA PLATFORMS USING WEB LINK STRUCTURE
Daichi Takehara, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 479, 483, 2016, [Peer-reviewed]
English, International conference proceedings

Distress Classification of Road Structures via Decision Level Fusion
Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
2016 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 589, 593, 2016, [Peer-reviewed]
English, International conference proceedings

Improvement of video coding efficiency based on sparse contractive mapping approach
Zaixing He, Takahiro Ogawa, Sho Takahashi, Miki Haseyama, Xinyue Zhao
NEUROCOMPUTING, 173, 1898, 1907, Jan. 2016, [Peer-reviewed]
English, Scientific journal

NOVEL FAVORITE MUSIC CLASSIFICATION USING EEG-BASED OPTIMAL AUDIO FEATURES SELECTED VIA KDLPCCA
Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama
2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 759, 763, 2016, [Peer-reviewed]
English, International conference proceedings

Bregman pooling: Feature-space local pooling for image classification
Alameen Najjar, Takahiro Ogawa, Miki Haseyama
International Journal of Multimedia Information Retrieval, 4, 4, 247, 259, 01 Dec. 2015, [Peer-reviewed]
English, Scientific journal

Perceptually Optimized Missing Texture Reconstruction via Neighboring Embedding
Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E98A, 8, 1709, 1717, Aug. 2015, [Peer-reviewed]
English, Scientific journal

本格化するバイオミメティクス材料の開発〔解説‐2〕バイオミメティクス・画像検索システムの実現と活用
HASEYAMA MIKI
工業材料, 63, 8, 29, 33, 01 Aug. 2015
Japanese

A Biological Classification Method Using Scanning Electron Mircroscope Images via Taxonomy-Based Decision Tree
Piao Jun, Ogawa Takahiro, Haseyama Miki
電子情報通信学会論文誌 D, 情報・システム, 98, 5, 823, 834, 電子情報通信学会, 01 May 2015
Japanese, 本論文では，走査型電子顕微鏡(Scanning Electron Microscop，SEM)で撮像された画像を用いた生物の分類法を提案する．提案手法では，生物学者が構築した分類体系に注目し，各ノードにその下位のノードへの分類を行う分類器を割り当てることで，決定木を構築する．これにより，構築された決定木を用いて生物の分類が可能となる．このように，生物の分類に有用な分類体系の構造を導入することで，画像特徴のみに注目する生物の分類法と比較して，高精度な分類が期待できる．また，提案手法では，更なる精度向上のため，以下の二つの処理も導入する．まず，分類体系において，画像特徴が類似する異なるノードに注目した決定木の変更を行い，誤分類を抑制する．次に，同種の生物の異なる撮像倍率の画像に対し，モーフィングを施すことで学習データの充足を行う．以上によって，提案手法では，SEMで撮像された生物の高精度な分類が可能となる．本論文の最後では，提案手法の有効性を確認するための実験結果を示す．

ものづくりの発想を支援する―バイオミメティクス・画像検索基盤―
HASEYAMA MIKI, HASEYAMA MIKI
現代化学, 529, 31, 34, 01 Apr. 2015
Japanese

Biomimetics Image Retrieval Platform for Enhancing Serendipity
HASEYAMA MIKI
タクサ, 38, 22, 25, Japanese Society of Systematic Zoology, 28 Feb. 2015
Japanese, Biomimetics is a new research area that creates innovation through the collaboration of different existing research fields. Since biomimetics brings together expert researchers with deep knowledge of various research fields, there is a need to facilitate the mutual exchange of that knowledge in order to create new research areas. However, this exchange is difficult due to several reasons, e.g., differences in technical terms between different fields. In order to overcome this problem, we started the development of a new data retrieval platform based on the theory of associative image retrieval. A biological database contains many image data, and by taking advantage of these image data, we are able to overcome limitations of text-only information retrieval. If the development of such a retrieval platform that does not depend on text data can be realized, individual biological databases of various species (insects, fish, etc.) will be integrated. This will allow not only the use for the study of the various species by researchers in different biological fields, but also access for a wide range of researchers in fields ranging from materials science, mechanical engineering and manufacturing.

「バイオミメティクス」日本企業の研究開発の現況:「生物・博物・情報」分野 バイオミメティクス・画像検索システム―生物の微細構造から材料開発の発想を支援する―
長谷山美紀
OHM, 102, 1, 26, 27, 12 Jan. 2015
Japanese

Automatic Martian Dust Storm Detection from Multiple Wavelength Data Based on Decision Level Fusion
Maeda Keisuke, Ogawa Takahiro, Haseyama Miki
IMT, 10, 3, 473, 477, Information and Media Technologies Editorial Board, 2015
English, This paper presents automatic Martian dust storm detection from multiple wavelength data based on decision level fusion. In our proposed method, visual features are first extracted from multiple wavelength data, and optimal features are selected for Martian dust storm detection based on the minimal-Redundancy-Maximal-Relevance algorithm. Second, the selected visual features are used to train the Support Vector Machine classifiers that are constructed on each data. Furthermore, as a main contribution of this paper, the proposed method integrates the multiple detection results obtained from heterogeneous data based on decision level fusion, while considering each classifiers detection performance to obtain accurate final detection results. Consequently, the proposed method realizes successful Martian dust storm detection.

NOVEL IMAGE CLASSIFICATION BASED ON INTEGRATION OF EEG AND VISUAL FEATURES VIA MSLPCCA
Takuya Kawakami, Takahiro Ogawa, Miki Haseyama
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 957, 961, 2015
English, International conference proceedings

MISSING INTENSITY RESTORATION VIA ADAPTIVE SELECTION OF PERCEPTUALLY OPTIMIZED SUBSPACES
Takahiro Ogawa, Miki Haseyama
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 1628, 1632, 2015
English, International conference proceedings

Heterogeneous Graph-based Video Search Reranking using Web Knowledge via Social Media Network
Soh Yoshida, Takahiro Ogawa, Miki Haseyama
MM'15: PROCEEDINGS OF THE 2015 ACM MULTIMEDIA CONFERENCE, 871, 874, 2015, [Peer-reviewed]
English, International conference proceedings

HELICOBACTER PYLORI INFECTION DETECTION FROM MULTIPLE X-RAY IMAGES BASED ON COMBINATION USE OF SUPPORT VECTOR MACHINE AND MULTIPLE KERNEL LEARNING
Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 4728, 4732, 2015, [Peer-reviewed]
English, International conference proceedings

AUTOMATIC DETECTION OF MARTIAN DUST STORMS FROM HETEROGENEOUS DATA BASED ON DECISION LEVEL FUSION
Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2246, 2250, 2015, [Peer-reviewed]
English, International conference proceedings

EXTRACTION OF HIERARCHICAL STRUCTURE OF WEB COMMUNITIES INCLUDING SALIENT KEYWORD ESTIMATION FOR WEB VIDEO RETRIEVAL
Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 1021, 1025, 2015, [Peer-reviewed]
English, International conference proceedings

Human-centered Favorite Music Estimation: EEG-based Extraction of Audio Features Reflecting Individual Preference
Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama
2015 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 818, 822, 2015, [Peer-reviewed]
English, International conference proceedings

Algorithm for Sparse Representation Minimizing Mean Square Error of Power Spectrograms
Yuma Tanaka, Takahiro Ogawa, Miki Haseyama
2015 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 618, 622, 2015, [Peer-reviewed]
English, International conference proceedings

MISSING INTENSITY RESTORATION VIA ADAPTIVE SELECTION OF PERCEPTUALLY OPTIMIZED SUBSPACES
Takahiro Ogawa, Miki Haseyama
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 1628, 1632, 2015, [Peer-reviewed]
English, International conference proceedings

NOVEL IMAGE CLASSIFICATION BASED ON INTEGRATION OF EEG AND VISUAL FEATURES VIA MSLPCCA
Takuya Kawakami, Takahiro Ogawa, Miki Haseyama
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP), 957, 961, 2015, [Peer-reviewed]
English, International conference proceedings

Random combination for information extraction in compressed sensing and sparse representation-based pattern recognition
Zaixing He, Xinyue Zhao, Shuyou Zhang, Takahiro Ogawa, Miki Haseyama
NEUROCOMPUTING, 145, 160, 173, Dec. 2014, [Peer-reviewed]
English, Scientific journal

Adaptive missing texture reconstruction method based on kernel cross-modal factor analysis with a new evaluation criterion
Takahiro Ogawa, Mild Haseyama
SIGNAL PROCESSING, 103, 69, 83, Oct. 2014, [Peer-reviewed]
English, Scientific journal

Player Tracking in Far-View Soccer Videos Based on Composite Energy Function
Kazuya Iwai, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E97D, 7, 1885, 1892, Jul. 2014, [Peer-reviewed]
English, Scientific journal

A new method for error degree estimation in numerical weather prediction via MKDA-based ordinal regression
Takahiro Ogawa, Shintaro Takahashi, Sho Takahashi, Miki Haseyama
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2014, 115, 115, Jul. 2014, [Peer-reviewed]
English, Scientific journal

歌謡番組における映像の構造に注目したシーン分割手法
吉田壮, 小川貴弘, 長谷山美紀
電子情報通信学会論文誌 D(Web), J97-D, 7, WEB ONLY 1177-1188, 01 Jul. 2014
Japanese

バイオミメティクスエンジニアリング 発想を支援するバイオミメティクス・データ検索と技術革新
長谷山美紀
化学工学, 78, 6, 394, 397, 05 Jun. 2014
Japanese

A Cross-Modal Approach for Extracting Semantic Relationships Between Concepts Using Tagged Images
Marie Katsurai, Takahiro Ogawa, Miki Haseyama
IEEE TRANSACTIONS ON MULTIMEDIA, 16, 4, 1059, 1074, Jun. 2014, [Peer-reviewed]
English, Scientific journal

Trial Realization of Associative Search for Media Understanding
HASEYAMA Miki
Technical report of IEICE. PRMU, 113, 493, 73, 77, The Institute of Electronics, Information and Communication Engineers, 06 Mar. 2014
Japanese, This paper presents a new associative search system for enhancing serendipity which collaboratively use several unstructured data such as images and videos and extracts their latent similarities. In order to realize such systems, the multimodal signal processing is essential. By using several different kinds of data such as images, videos and users' log data, the multimodal signal processing provides a solution to problems of not being able to improve the performance when using only single modalities. Therefore, in this paper, we introduce video retrieval using the multimodal signal processing and also show trial realization of new associative retrieval systems for effectively providing desired contents.

映像の構造に注目したMCMC法に基づくシーン分割法
SONG Yan, 小川貴弘, 長谷山美紀
電子情報通信学会論文誌 D, J97-D, 3, 560, 573, Mar. 2014
Japanese

A Scene Segmentation Approach Based on the MCMC Method Using Video Structures
SONG Yan, OGAWA Takahiro, HASEYAMA Miki
The IEICE transactions on information and systems (Japanese edition), 97, 3, 560, 573, The Institute of Electronics, Information and Communication Engineers, 01 Mar. 2014
Japanese, 以前,我々は,映像の類似したショットが隣接せずに出現する構造(映像の構造)に注目したシーン分割手法を提案した.しかしながら,映像の構造に注目したシーン分割手法の共通の問題として,映像の構造を取得する際に用いられるシーンの最長時間幅の設定が困難であるという点が存在した.そこで,本論文では,その改良手法として映像の構造に注目したMCMC法に基づくシーン分割手法を提案する.提案手法では,シーンの最長時間幅を変化させて映像の構造に基づき取得された全ての境界をシーン境界候補とし,それらの中からMCMC法に基づいて最適なシーン境界を推定する.これにより,従来の手法を適用する際に設定が困難であったシーンの最長時間幅を一意に決定することなく,MCMC法により最適なシーン境界を求めることが可能となる.本論文の最後では,実際にテレビで放送された映像に対して提案手法を適用し,その有効性を確認する.

MFCC extraction in AAC domain for audio content analysis
Ai Haojun, Miki Haseyama, Wang Kang
INFORMATION SCIENCE AND MANAGEMENT ENGINEERING, VOLS 1-3, 46, 1413, 1420, 2014
English, International conference proceedings

HELICOBACTER PYLORI INFECTION DETECTION FROM MULTIPLE X-RAY IMAGES BASED ON DECISION LEVEL FUSION
Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2769, 2773, 2014, [Peer-reviewed]
English, International conference proceedings

2D SEMI-SUPERVISED CCA-BASED INPAINTING INCLUDING NEW PRIORITY ESTIMATION
Takahiro Ogawa, Miki Haseyama
2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 1837, 1841, 2014, [Peer-reviewed]
English, International conference proceedings

NOVEL IMAGE CLASSIFICATION BASED ON DECISION-LEVEL FUSION OF EEG AND VISUAL FEATURES
Takuya Kawakami, Takahiro Ogawa, Miki Haseyama
2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 5874, 5878, 2014, [Peer-reviewed]
English, International conference proceedings

MISSING INTENSITY RESTORATION VIA PERCEPTUALLY OPTIMIZED SUBSPACE PROJECTION BASED ON ENTROPY COMPONENT ANALYSIS
Takahiro Ogawa, Miki Haseyama
2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 175, 179, 2014, [Peer-reviewed]
English, International conference proceedings

Image inpainting based on sparse representations with a perceptual metric
Takahiro Ogawa, Miki Haseyama
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2013, 179, 179, Dec. 2013, [Peer-reviewed]
English, Scientific journal

Exploring and visualizing tag relationships in photo sharing websites based on distributional representations
Marie Katsurai, Miki Haseyama
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 3617, 3621, 18 Oct. 2013, [Peer-reviewed]
English, International conference proceedings

Vocal segment estimation in music pieces based on collaborative use of EEG and audio features
Takuya Kawakami, Takahiro Ogawa, Miki Haseyama
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 1197, 1201, 18 Oct. 2013, [Peer-reviewed]
English, International conference proceedings

胃X線検査における胃背景粘膜の自動解析による胃がんリスク評価の検討
間部克裕, 長谷山美紀, 小川貴弘, 吉澤和哉, 大泉晴史, 中島滋美, 加藤元嗣
日本消化器がん検診学会雑誌, 51, 3, 96, 15 May 2013
Japanese

Player Tracking by Using Level-Set Method in Soccer Video
TAKAHASHI Sho, LIM Wonkuk, HASEYAMA Miki
The IEICE transactions on information and systems (Japanese edetion), 96, 3, 695, 703, 一般社団法人電子情報通信学会, Mar. 2013, [Peer-reviewed]
Japanese, 本論文では,サッカー映像からレベルセット法を用いて選手を追跡する手法を提案する.提案手法では,サッカー映像を各フレームが時間軸方向に重なるように連結した三次元データとして扱う.このデータに対して,レベルセット法を適用することで抽出される三次元の領域は,複数フレームに渡って存在する同一選手を包含する.提案手法では,この三次元の領域をサッカー映像から抽出することで,選手の追跡を実現する.したがって,提案手法では,フレームごとに選手を検出する必要がないため,フレームを個別に処理する従来手法における選手の検出と追跡それぞれの誤差によって精度が低下する問題を解決可能である.また,我々は,ユニフォームの色成分をサッカー映像から色コリログラムを用いて推定し,これをレベルセット法を用いて追跡する選手の特徴として導入する.これにより,提案手法では,追跡対象の特徴を事前に与えることなく,選手の頑健な追跡が可能となる.本文の最後では,実際にテレビで放送されたサッカー映像に対する実験により,提案手法の有効性を確認する.

Missing Texture Reconstruction Method Based on Error Reduction Algorithm Using Fourier Transform Magnitude Estimation Scheme
Takahiro Ogawa, Miki Haseyama
IEEE TRANSACTIONS ON IMAGE PROCESSING, 22, 3, 1252, 1257, Mar. 2013, [Peer-reviewed]
English, Scientific journal

Super-resolution for simultaneous realization of resolution enhancement and motion blur removal based on adaptive prior settings
Takahiro Ogawa, Daisuke Izumi, Akane Yoshizaki, Miki Haseyama
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2013, 1, 17, Feb. 2013, [Peer-reviewed]
English, Scientific journal

Randomized-Controlled Study on the Effects of Hand Bathing on Stroke Patients in Convalescence - Subjective Improvements in Hand Movement and Increased Positiveness in Talking
Rika Yano, Miki Haseyama
STROKE, 44, 2, Feb. 2013
English

Active grid-based method for visualizing pass regions in soccer videos
Sho Takahashi, Miki Haseyama
Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013, 1, 6, 2013, [Peer-reviewed]
English, International conference proceedings

An extraction method of hierarchical Web communities for Web video retrieval
Ryosuke Harakawa, Yasutaka Hatakeyama, Takahiro Ogawa, Miki Haseyama
2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, 4397, 4401, 2013, [Peer-reviewed]
English, International conference proceedings

Insect classification using Scanning Electron Microphotographs considering magnifications
Akihiro Takahashi, Takahiro Ogawa, Miki Haseyama
2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, 3269, 3273, 2013, [Peer-reviewed]
English, International conference proceedings

SPECTRAL REFLECTANCE ESTIMATION FROM VISIBLE LIGHT COMPONENTS AND NEAR-INFRARED COMPONENTS
Yuta Igarashi, Takahiro Ogawa, Miki Haseyama
2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013), 2388, 2392, 2013, [Peer-reviewed]
English, International conference proceedings

KCFA-BASED MISSING AREA RESTORATION INCLUDING NEW PRIORITY ESTIMATION
Takahiro Ogawa, Miki Haseyama
2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013), 704, 708, 2013, [Peer-reviewed]
English, International conference proceedings

Trial Realization of Human-Centered Multimedia Navigation for Video Retrieval
Miki Haseyama, Takahiro Ogawa
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 29, 2, 96, 109, Jan. 2013, [Peer-reviewed]
English, Scientific journal

Glare Detection for Night Wet Road Surfaces and Driver Visibility Improvement by Using Multiple Onboard Cameras
公文宏明, 長谷山美紀
映像情報メディア学会誌(Web), 67, 3, 2013

Performance of Spatial and Temporal Error Concealment Method for 3D DWT Video Coding in Packet Loss Channel
Hirokazu Tanaka, Sunmi Kim, Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E95A, 11, 2015, 2022, Nov. 2012, [Peer-reviewed]
English, Scientific journal

Super-Resolution Reconstruction for Spatio-Temporal Resolution Enhancement of Video Sequences
Miki Haseyama, Daisuke Izumi, Makoto Takizawa
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E95D, 9, 2355, 2358, Sep. 2012, [Peer-reviewed]
English, Scientific journal

Transmission and Vibration in Circuit Theory (7) Band-Pass Filters Having Impedance Transformation Ratio
永井 信夫, 任 捷, 長谷山 美紀
信号処理, 16, 5, 359, 368, [信号処理学会], Sep. 2012
Japanese

Transmission and Vibration in Circuit Theory (6) Reconsideration of Left-Handed Circuit Viewing form Circuit Theory
永井 信夫, 任 捷, 長谷山 美紀
信号処理, 16, 4, 263, 272, [信号処理学会], Jul. 2012
Japanese

A Novel Framework for Extracting Visual Feature-Based Keyword Relationships from an Image Database
Marie Katsurai, Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E95A, 5, 927, 937, May 2012, [Peer-reviewed]
English, Scientific journal

Transmission and Vibration in Circuit Theory (5) Generalization of Difference Equation and Left-handed Circuit
永井 信夫, 任 捷, 長谷山 美紀
信号処理, 16, 3, 187, 196, [信号処理学会], May 2012
Japanese

Transmission and Vibration in Circuit Theory (4) Characteristic Vibration and Resonance Created at Image Phase π/2
永井 信夫, 任 捷, 長谷山 美紀
信号処理, 16, 2, 101, 110, [信号処理学会], Mar. 2012
Japanese

Haseyama Laboratory at Hokkaido University
長谷山 美紀
信号処理, 16, 2, 121, 126, [信号処理学会], Mar. 2012
Japanese

An SVDD-Based Method for Taxonomy Estimation of Benthic Species from Microscopic Images
HASEGAWA TAKASHI, OGAWA TAKAHIRO, WATANABE HIDEMI, HASEYAMA MIKI
電子情報通信学会技術研究報告, 111, 442(IE2011 105-132), 73, 78, Feb. 2012
Japanese

A cross-modal approach for extracting semantic relationships of concepts from an image database
Marie Katsurai, Takahiro Ogawa, Miki Haseyama
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2373, 2376, 2012, [Peer-reviewed]
English, International conference proceedings

PERCEPTUALLY OPTIMIZED SUBSPACE ESTIMATION FOR MISSING TEXTURE RECONSTRUCTION
Takahiro Ogawa, Miki Haseyama
2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 1141, 1144, 2012, [Peer-reviewed]
English, International conference proceedings

Transmission and Vibration in Circuit Theory (3) Characteristic Vibration Related to Combinational Oscillation and Its Expansion
永井 信夫, 任 捷, 長谷山 美紀
信号処理, 16, 1, 13, 22, [信号処理学会], Jan. 2012
Japanese

8-3 A note on improvement of 3D pass region estimation method using player velocity in soccer videos
TAKAHASHI Sho, HASEYAMA Miki
PROCEEDINGS OF THE ITE WINTER ANNUAL CONVENTION, 2012, 8, 3-1, The Institute of Image Information and Television Engineers, 2012
Japanese, This paper realizes an improvement of 3D pass region estimation method by using player velocity in soccer videos. In the previous method, since the pass region was estimated regardless of player velocity, the accuracy was limited. Therefore, by introducing the player velocity to the pass region estimation, we improve the performance of the previous method.

Support Vector Data Dscription-Based Method for Finding New Benthic Species and Estimating Their Taxonomy Position from Microscopic Images.
長谷川尭史, 小川貴弘, 渡邉日出海, 長谷山美紀
映像情報メディア学会誌(Web), 66, 7, 2012

Missing Image Data Reconstruction Based on Adaptive Inverse Projection via Sparse Representation
Takahiro Ogawa, Miki Haseyama
IEEE TRANSACTIONS ON MULTIMEDIA, 13, 5, 974, 992, Oct. 2011, [Peer-reviewed]
English, Scientific journal

Cross Low-Dimension Pursuit for Sparse Signal Recovery from Incomplete Measurements Based on Permuted Block Diagonal Matrix
Zaixing He, Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E94A, 9, 1793, 1803, Sep. 2011, [Peer-reviewed]
English, Scientific journal

Transmission and vibration in circuit theory (2) Resonance and one-dimensional vibration for two atoms crystal
永井 信夫, 任 捷, 長谷山 美紀
Journal of signal processing, 15, 5, 331, 340, 〔信号処理学会〕, Sep. 2011
Japanese

Adaptive Single Image Superresolution Approach Using Support Vector Data Description
Takahiro Ogawa, Miki Haseyama
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2011, 2011, [Peer-reviewed]
English, Scientific journal

ADAPTIVE KPCA-BASED MISSING TEXTURE RECONSTRUCTION APPROACH INCLUDING CLASSIFICATION SCHEME VIA DIFFERENCE SUBSPACES
Takahiro Ogawa, Miki Haseyama
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 1133, 1136, 2011, [Peer-reviewed]
English, International conference proceedings

LINEAR TIME DECODING OF REAL-FIELD CODES OVER HIGH ERROR RATE CHANNELS
Zaixing He, Takahiro Ogawa, Miki Haseyama
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 3172, 3175, 2011, [Peer-reviewed]
English, International conference proceedings

ADAPTIVE RECONSTRUCTION METHOD OF MISSING TEXTURES BASED ON PERCEPTUALLY OPTIMIZED ALGORITHM
Takahiro Ogawa, Miki Haseyama
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 1157, 1160, 2011, [Peer-reviewed]
English, International conference proceedings

Adaptive example-based super-resolution using kernel PCA with a novel classification approach
Takahiro Ogawa, Miki Haseyama
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2011, 1, 29, 2011, [Peer-reviewed]
English, Scientific journal

Music recommendation according to human motion based on kernel CCA-based relationship
Hiroyuki Ohkushi, Takahiro Ogawa, Miki Haseyama
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2011, 121, 121, 2011, [Peer-reviewed]
English, Scientific journal

足跡を用いた男女識別　　　　　　　　　　　　　　　
画像ラボ, 22, 1, 17, 21, 2011

固有空間BPLP法の補間精度に関する解析
田中章, 小川貴弘, 長谷山美紀, 宮腰政明
電子情報通信学会 論文誌(A), J94-A, 2, 116, 126, 2011

Error-Resilient 3-D Wavelet Video Coding with Duplicated Lowest Sub-Band Coefficients and Two-Step Error Concealment Method
Sunmi Kim, Hirokazu Tanaka, Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E93A, 11, 2173, 2183, Nov. 2010, [Peer-reviewed]
English, Scientific journal

Recent Trends of Image and Video Semantic Analysis and Retrieval Interfaces(Developments of Vision Computing based on Probabilistic Information Processing)
HASEYAMA Miki
The Journal of the Institute of Electronics, Information, and Communication Engineers, 93, 9, 764, 769, 一般社団法人電子情報通信学会, Sep. 2010
Japanese, 画像・映像意味理解の研究動向とその検索への応用について紹介する.更に,画像及び映像が持つ固有の多義性とあいまい性から検索結果の可視化システムの必要性を議論し,その実現の試みについて紹介するとともに今後の展開について考える.

Gender Identification Using Support Vector Machine Based on Shoe Print
ASAMIZU Satoshi, HASEYAMA Miki
The IEICE transactions on information and systems (Japanese edetion), 93, 5, 642, 646, The Institute of Electronics, Information and Communication Engineers, 01 May 2010
Japanese, 本論文では,施設や店舗などに出入りする人物の足跡を用いて男女識別する手法について検証する.取得した足跡から算出が可能な特徴量を用いてSVMにより男女を識別する.本手法を用いて被験者実験を行い,90%の識別率を実現した.

ADAPTIVE RECONSTRUCTION METHOD OF MISSING TEXTURES BASED ON INVERSE PROJECTION VIA SPARSE REPRESENTATION
Takahiro Ogawa, Miki Haseyama
2010 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME 2010), 352, 357, 2010, [Peer-reviewed]
English, International conference proceedings

THE SIMPLEST MEASUREMENT MATRIX FOR COMPRESSED SENSING OF NATURAL IMAGES
Zaixing He, Takahiro Ogawa, Miki Haseyama
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 4301, 4304, 2010, [Peer-reviewed]
English, International conference proceedings

Spatio-temporal resolution enhancement of video sequence based on super-resolution reconstruction.
Miki Haseyama, Daisuke Izumi, Makoto Takizawa
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA, 870, 873, IEEE, 2010, [Peer-reviewed]
International conference proceedings

A Genetic Algorithm for Generating Multiple Paths on Mesh Maps
Jun Inagaki, Tomoaki Shirakawa, Tetsuo Shimono, Miki Haseyama
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 1, 4, 2010, [Peer-reviewed]
English, International conference proceedings

Missing Texture Reconstruction Method Based on Perceptually Optimized Algorithm
Takahiro Ogawa, Miki Haseyama
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2010, 2010, [Peer-reviewed]
English, Scientific journal

Erratum: Error-Resilient 3-D Wavelet Video Coding with Duplicated Lowest Sub-Band Coefficients and Two-Step Error Concealment Method [IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E93.A (2010) , No. 11 pp.2173-2183]
KIM Sunmi, TANAKA Hirokazu, OGAWA Takahiro, HASEYAMA Miki
IEICE Trans. Fundamentals, 93, 12, 2763_e1, 2763_e1, The Institute of Electronics, Information and Communication Engineers, 2010
English

Interdisciplinary Research Project on Biological Science(Next-Generation Information Technology Based on Knowledge Discovery and Knowledge Federation: Hokkaido University Global COE Program and Research Projects on ICT in Hokkaido)
WATANABE Hidemi, KANEKO Shun'ichi, HASEYAMA Miki
The Journal of the Institute of Electronics, Information, and Communication Engineers, 92, 10, 822, 827, 一般社団法人電子情報通信学会, Oct. 2009
Japanese

Adaptive Missing Texture Reconstruction Method Based on Kernel Canonical Correlation Analysis with a New Clustering Scheme
Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E92A, 8, 1950, 1960, Aug. 2009, [Peer-reviewed]
English, Scientific journal

An ER Algorithm-Based Method for Removal of Adherent Water Drops from Images Obtained by a Rear View Camera Mounted on a Vehicle in Rainy Conditions
Tomoki Hiramatsu, Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E92A, 8, 1939, 1949, Aug. 2009, [Peer-reviewed]
English, Scientific journal

Estimating Number of People Using Calibrated Monocular Camera Based on Geometrical Analysis of Surface Area
Hiroyuki Arai, Isao Miyagawa, Hideki Koike, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E92A, 8, 1932, 1938, Aug. 2009, [Peer-reviewed]
English, Scientific journal

An Accurate Scene Segmentation Method Based on Graph Analysis Using Object Matching and Audio Feature
Makoto Yamamoto, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E92A, 8, 1883, 1891, Aug. 2009, [Peer-reviewed]
English, Scientific journal

Maintaining the Stability of Solutions in Dynamic Fuzzy CSPs
SUDO Yasuhiro, YANAGIDA Takuto, KURIHARA Masahito, HASEYAMA Miki
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, 21, 3, 372, 380, Japan Society for Fuzzy Theory and Intelligent Informatics, 15 Jun. 2009
Japanese, A Fuzzy Constraint Satisfaction Problem (FCSP) is an extension of the classical CSP, a powerful tool for modeling various problems based on constraints among variables. Meanwhile, a Dynamic CSP (DCSP) is a framework for modeling the transformation of problems, and the differences between past solutions and new solutions should be as small as possible. These schemes are the techniques to formulate real world problems as CSPs more easily. The CSP model that combines these (Dynamic Fuzzy CSP) has already existing researches. However, as CSPs are NP-hard problems in general, no efficient and complete algorithms for solving CSPs exist and the increase in the worst-case computation time is exponential in the size of the problems. In the work reported in this paper we tested a hybrid approximate method, called the SRS algorithm. Moreover, we introduce a post-filtering method, called the SRSD algorithm. We empirically show that SRS and SRSD algorithms keep the stability of solutions better than other algorithms. They are able to quickly get good-quality approximate and stabile solutions to large problems.

Active Net-Based Non-interception Region Estimation in Soccer Videos
TAKAHASHI Sho, KON Hirofumi, HASEYAMA Miki
The IEICE transactions on information and systems (Japanese edetion), 92, 4, 501, 510, The Institute of Electronics, Information and Communication Engineers, 01 Apr. 2009
Japanese, 本論文では,チームスポーツ映像からアクティブネットを用いてパス可能領域を推定する手法を提案する.チームスポーツ映像の一つであるサッカー映像の意味内容解析を行うために重要なサッカーの戦術は,選手の移動とボール運びによって表現されるため,ボール運びを実現するパスを分析することは重要である.一般にパスコースはボール保持者と味方チームの選手へとつながる緩やかな曲線で表される.提案手法では,新たなエネルギーの定義とパス可能領域を推定するための画像生成により,アクティブネットを用いて前述の曲線が存在する領域を抽出する.また,パス可能領域は守備の選手から離れるほど,パスが成功する可能性が高いという特徴をもつ.提案手法では,格子点の密度に着眼することで,パスが成功する可能性をパス可能領域の推定と同時に得る.更に,アクティブネットの収束結果は多少の選手位置の誤差を許容するため,選手の動きを用いた従来手法における,選手位置の誤差の影響を受けやすいという問題点を解決することが可能である.したがって,提案手法はカメラワークが存在し,高精度な選手位置の推定が困難であるテレビ映像に対しても,高精度にパス可能領域の推定が可能である.

Kalman Filter-Based Error Concealment for Video Transmission
Shigeki Takahashi, Takahiro Ogawa, Hirokazu Tanaka, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E92A, 3, 779, 787, Mar. 2009, [Peer-reviewed]
English, Scientific journal

An IFS-Based Image Enlargement Method Considering Edge Continuity
KAKUKOU Norihiro, OGAWA Takahiro, HASEYAMA Miki
The IEICE transactions on information and systems (Japanese edetion), 92, 3, 382, 392, The Institute of Electronics, Information and Communication Engineers, 01 Mar. 2009
Japanese, 本論文では,エッジの連続性を考慮した, Iterated Function System (IFS)に基づく画像拡大法を提案する.従来のIFS画像拡大法では,拡大後の画像において処理の最小単位となるブロックの境界で,本来存在しないはずの輝度値の変化が生じる.また,エッジの連続性を考慮しておらず,拡大後の画像におけるエッジが不連続となる問題が存在した.そこで提案手法では,まず,処理の最小単位となるブロックの重なりを許すことで, IFSによる高近似縮小写像を実現し,ブロック境界での輝度値の変化を抑制する.更に,連続性を保ったエッジの推定が可能であるラインプロセスを新たにIFS画像拡大法に導入する.このとき我々は,ラインプロセスを拡大後の画像のエッジを推定する手法に拡張することで,輝度値が未知である拡大後の画像に対しても,連続性を保ったエッジの推定を可能とする.また,提案手法では得られるエッジの存在を考慮した上でIFSに基づく画像拡大を行うことにより,従来法で発生していた拡大後の画像におけるエッジの不連続を解決し,高精細な拡大を実現する.本論文の最後では,提案手法の有効性を示すため比較実験を行い,その拡大性能を評価する.

A Kalman Filter-Based Method for Restoration of Images Obtained by an In-Vehicle Camera in Foggy Conditions
Tomoki Hiramatsu, Takahiro Ogawa, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E92A, 2, 577, 584, Feb. 2009, [Peer-reviewed]
English, Scientific journal

"Common technologies" of information grand voyage project: Introduction to image and video processing technologies
Miki Haseyama, Toru Hisamitsu
Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 63, 1, 42, 47, Inst. of Image Information and Television Engineers, 2009
Japanese

Improvement of video coding performance using adaptive interpolation filter without filter selection information
Satoshi Kondor, Takaya Matsuno, Miki Haseyama
Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 63, 11, 1592, 1597, The Institute of Image Information and Television Engineers, 2009
Japanese, Scientific journal

Accurate Graph-Based Scene Segmentation Using Object Matching and Audio Feature
Makoto Yamamoto, Miki Haseyama
ISCE: 2009 IEEE 13TH INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS, VOLS 1 AND 2, 670, 671, 2009, [Peer-reviewed]
English, International conference proceedings

Semantic Image Retrieval Based on POCS Algorithm Using Kernel PCA And Its Performance Verification
Takahiro Ogawa, Miki Haseyama
ISCE: 2009 IEEE 13TH INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS, VOLS 1 AND 2, 342, 343, 2009, [Peer-reviewed]
English, International conference proceedings

A new image retrieval interface and its practical use in "View Search Hokkaido"
Miki Haseyama, Toshifumi Murata, Hisashi Ukawa
ISCE: 2009 IEEE 13TH INTERNATIONAL SYMPOSIUM ON CONSUMER ELECTRONICS, VOLS 1 AND 2, 624, +, 2009, [Peer-reviewed]
English, International conference proceedings

映像検索のための画像及び音響信号によるシーン間の相違度算出--正準相関分析とDynamic Time Warpingを用いたアプローチ
道山 大悟, 長谷山 美紀
画像ラボ, 19, 7, 1, 4, 日本工業出版, Jul. 2008
Japanese

Innovation of Video Technology and Visual Information Media
Haseyama Miki
The journal of the Institute of Image Information and Television Engineers, 62, 4, K12, K12, The Institute of Image Information and Television Engineers, 01 Apr. 2008
Japanese

Media distribution and processing
Kazuto Kamikura, Miki Haseyama, Kazuhito Murakami
Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 62, 8, 1251, 1254, Inst. of Image Information and Television Engineers, 2008
Japanese, Scientific journal

Estimating the number of people in a video sequence via geometrical model.
Hiroyuki Arai, Isao Miyagawa, Hideki Koike, Miki Haseyama
19th International Conference on Pattern Recognition (ICPR 2008)(ICPR), 1, 4, IEEE Computer Society, 2008
International conference proceedings

KERNEL PCA-BASED SEMANTIC FEATURE ESTIMATION APPROACH FOR SIMILAR IMAGE RETRIEVAL
Takahiro Ogawa, Miki Haseyama
2008 IEEE International Conference on Image Processing, Proceedings, 969, 972, 2008, [Peer-reviewed]
English, International conference proceedings

カルマンフィルタと適応信号処理, 谷萩隆嗣著, (コロナ社, Tel.03-3941-3131, 2005年, A5判, 282頁, 定価4,515円(税込))
長谷山 美紀
日本音響学会誌, 63, 8, 社団法人日本音響学会, 01 Aug. 2007
Japanese

Audio-based shot classification for audiovisual indexing using PCA, MGD and fuzzy algorithm
Naoki Nitanda, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E90A, 8, 1542, 1548, Aug. 2007, [Peer-reviewed]
English, Scientific journal

Players clustering based on graph theory tor tactics analysis purpose in soccer videos
Hiroftuni Kon, Miki Haseyama
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E90A, 8, 1528, 1533, Aug. 2007, [Peer-reviewed]
English, Scientific journal

Visualization of relationship among academic papers in small database
二反田 直己, 鎌倉 純一, 長谷山 美紀
Journal of signal processing, 11, 2, 179, 185, 〔信号処理学会〕, Mar. 2007
Japanese

Phase retrieval based on a snake for image reconstruction
Keiko Kondo, Miki Haseyama, Hideo Kitajima
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, E90D, 1, 283, 287, Jan. 2007
English, Scientific journal

Steady-state properties of a CORDIC-based adaptive ARMA lattice filter
Shin'ichi Shiraishi, Miki Haseyama, Hideo Kitajima
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E89A, 12, 3724, 3729, Dec. 2006
English, Scientific journal

基礎シリーズ 線形予測理論とラティスフィルタアルゴリズム(2)ARラティスフィルタの実現とその性質
長谷山 美紀
信号処理, 10, 5, 309, 315, 〔信号処理学会〕, Sep. 2006
Japanese

Image Recognition Method Using Intensity Gradient Vectors
HIRAMOTO Masao, OGAWA Takahiro, HASEYAMA Miki
The IEICE transactions on information and systems (Japanese edetion), 89, 6, 1348, 1358, The Institute of Electronics, Information and Communication Engineers, 01 Jun. 2006
Japanese, 本論文では,撮像素子の多面素化や高画質化の流れを踏まえ,画像の回転・移動等の幾何学的変換にも対応できる大局的な画像識別方法を提案している.提案手法は,ベクトルを利用した投票方式を用いかものであり,画像を輝度こう配を表すベクトルと位置を示すベクトルで表現し,識別のための投票ベクトルと類似度を定義している.また提案手法では,同一画像であれば得票場所が原点に集中し,得票結果が幾何学的な変換に影響されないという特徴がある.原画像に対してガウシアン,メジアンのフィルタリング処理,JPEG圧縮処理を施した画像も含め,自然画像の識別実験を行ったところ,類似性において明確な差が現れ,画像に対して人工的な処理を加えても識別可能であることが分かった.更に提案手法の応用として,最多得票点を利用した画像の識別について検討したところ,識別能力が高く,1画像内に含まれる部分画像の識別も可能であることを示すことができた.

基礎シリーズ 線形予測理論とラティスフィルタアルゴリズム(1)線形予測とARモデル同定
長谷山 美紀
信号処理, 10, 3, 153, 159, 〔信号処理学会〕, May 2006
Japanese

A report on video retrieval for intelligent information access
長谷山 美紀
回路とシステム軽井沢ワークショップ論文集, 19, 199, 203, [電子情報通信学会], 24 Apr. 2006
Japanese

Improvements on Watershed-Based Image Segmentation Using Color Edges and Parallel Region Merging
ZHAO Yanjun, HASEYAMA Miki, KITAJIMA Hideo
The IEICE transactions on information and systems (Japanese edetion), 89, 4, 836, 849, The Institute of Electronics, Information and Communication Engineers, 01 Apr. 2006
Japanese, 画像内容に基づく画像処理では,画素ではなく,画像中の物体を構成する領域を対象とし,画像の圧縮,検索,認識等様々な処理を行う.そのため,領域を検出し,ラベルを付与する画像分割が必要になる.本論文では画像における輝度値の空間分布を地形とみなすWatershedアルゴリズムによる領域分割を検討する.Watershedアルゴリズムにより,閉じた単一の領域分割線が得られるが,分割結果には領域の未分割及び過剰分割という問題が発生する.本論文においてはこれらの問題を解決するために,原画像を直接処理することではなく,連続エッジと均質部分の両方が強調できる色エッジの強度画像を分割対象とする.更に,未分割と過剰分割とを防ぐために,色エッジの強度画像に対する分割結果を初期領域として,ノイズ抑制を考慮した並列実行の領域統合を行う.提案手法を各種の画像へ適用した結果によりその有効性を示す.

A multi-objective service restoration method for power distribution systems
Jun Inagaki, Jun Nakajima, Miki Haseyama
2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS, 1784, +, 2006, [Peer-reviewed]
English, International conference proceedings

Restoration method of missing areas in still images using GMRF model
T Ogawa, M Haseyama, H Kitajima
2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS, 4931, 4934, 2005, [Peer-reviewed]
English, International conference proceedings

GA-based applications for routing with an upper bound constraint
J Inagaki, M Haseyama
2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS, 2239, 2242, 2005, [Peer-reviewed]
English, International conference proceedings

Audio signal segmentation and classification for scene-cut detection
N Nitanda, M Haseyama, H Kitajima
2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS, 4030, 4033, 2005, [Peer-reviewed]
English, International conference proceedings

Quality improvement technique for JPEG images with fractal image coding
M Takezawa, H Sanada, K Watanabe, M Haseyama
2005 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), VOLS 1-6, CONFERENCE PROCEEDINGS, 6320, 6323, 2005, [Peer-reviewed]
English, International conference proceedings

A GA-based fast search algorithm for realizing efficiency motion compensation
S Asamizu, M Haseyama
8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS, 185, 190, 2004, [Peer-reviewed]
English, International conference proceedings

New JPEG coding algorithm including fractal image coding for color images
M Takezawa, M Haseyama
8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL VI, PROCEEDINGS, 333, 336, 2004, [Peer-reviewed]
English, International conference proceedings

A trainable retrieval system for cartoon character images
M Haseyama, A Matsumura
2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PROCEEDINGS, 673, 676, 2003, [Peer-reviewed]
English, International conference proceedings

2-D functional AR model for image identification
M Haseyama, Kondo, I
2003 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOL II, PROCEEDINGS, 377, 380, 2003, [Peer-reviewed]
English, International conference proceedings

E cient fixed-valued and random-valued impulse detection for accurate image restoration
K Kondo, M Haseyama, H Kitajima
ISPA 2003: PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, PTS 1 AND 2, 1009, 1012, 2003, [Peer-reviewed]
English, International conference proceedings

Two-dimensional analysis of magnetic microstructures in the DC-demagnetized state and magnetization fluctuations in the transition region using MFM images
Takekuma, I, M Haseyama, K Sueoka, K Mukasa
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, 239, 1-3, 359, 362, Feb. 2002, [Peer-reviewed]
English, Scientific journal

A new approach with IFS for image restoration.
Miki Haseyama, Megumi Takezawa, Junichi Miura, Hideo Kitajima
10th European Signal Processing Conference(EUSIPCO), 1, 4, IEEE, 2000
International conference proceedings

A practical method to reduce a number of reference signals for the ANC system
M Akiho, M Haseyama, H Kitajima
ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI, 2387, 2390, 1999, [Peer-reviewed]
English, International conference proceedings

A genetic algorithm based image segmentation for image analysis
M Haseyama, M Kumagai, H Kitajima
ICASSP '99: 1999 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS VOLS I-VI, 3445, 3448, 1999, [Peer-reviewed]
English, International conference proceedings

A realization method of an ARMAX lattice filter
M HASEYAMA, T HIROHKU, H KITAJIMA
1995 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-3, 365, 368, 1995, [Peer-reviewed]
English, International conference proceedings

FREQUENCY-WEIGHTING MODEL IDENTIFICATION WITH AN ADAPTIVE ARMA LATTICE FILTER
M HASEYAMA, N NAGAI, N MIKI
IEEE INTERNATIONAL CONFERENCE ON SYSTEMS ENGINEERING, 543, 546, 1992, [Peer-reviewed]
English, International conference proceedings

A Note on Performance Improvement of Visual Emotion Classification via Multimodal LLM Introducing Text Prompt Optimization
高橋諒, 斉藤直輝, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

Withered Tree Detection Technology by Semantic Segmentation and Depth Estimation for Efficient Daily Inspection on Highways
斉藤直輝, 山本一輝, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

A Note on Sensitivity Evaluation of Novel View Synthesis Metrics in 3D Scenes with Limited Conditions
WANG Haoyang, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

Damage Classification Using Road Attachment Images Based on Vision Transformer and Vision Language Model
渡部航史, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

Effectiveness Verification of Introducing Model Merging in Federated Learning-Investigation from Image Classification Tasks Targeting Multiple Domains-
久保田健太, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

Event Location Prediction from Urgent Calls based on Fine-tuning of Speech Recognition Models for Geographic Name Recognition
吉田将規, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

A Note on Supporting Interior Coordination Using Image Generation and Complementary Recommendation Techniques
櫻井慶悟, 岡村洋希, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

Technology of Finding Generation Using Vision Language Model for Efficient Bridge Inspection on Highway
清野竜生, 斉藤直輝, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

A Note on Personalized Anomaly Detection Based on Vision Language Model Using Image Prompt
松田遥, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

A Note on the Effectiveness of Brain Activity Information Against Adversarial Attacks-Utilization of Image Reconstruction Method from Brain Signals Using Generative Models-
中島佑, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

A Note on Image-to-music Generation via Musical Caption Based on In-context Learning
LIU Shilin, 上川恭平, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

A Note on Consideration of Spatial Integrity in Continuous 3D Scene Generation Method
江良勇輝, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

A Note on Interpretability of Visual Language Model by Few-shot Learning Based on the Linear Representation Hypothesis
岡村洋希, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

Advanced Finding Generation AI Based on In-context Learning for Inspection Report Creation
佐藤雅也, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

A Note on Customer Interest Estimation Method Based on Multiple Transformer Models Using Real Store Video Data
山城輝久, 藤後廉, 本間勇紀, 吉田裕, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 49, 4(MMS2025 1-40/ME2025 1-40/AIT2025 1-40/SIP2025 1-40), 2025

Dynamic analysis of factory and environmental factors affecting properties of rubber materials based on causal inference
ZHANG Huaying, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 人工知能学会全国大会論文集(Web), 39th, 2025

Stock Recommendation based on Utility-aware Matrix Factorization
櫻井慶悟, 小川貴弘, 長谷山美紀, 阿南晏樹, 中川慧, 中川慧, 人工知能学会全国大会論文集(Web), 39th, 2025

A Note on Improving Accuracy in Composed Image Retrieval through Training Data Generation-Introduction of a Counterfactual Image Generation Model with Text Refinement-
上杉健大, 斉藤直輝, 前田圭介, 小川貴弘, 長谷山美紀, 人工知能学会全国大会論文集(Web), 39th, 2025

A note on motion recognition for tire inspection based on the cooperative use of object tracking models and video-LLMs
上川恭平, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 人工知能学会全国大会論文集(Web), 39th, 2025

A Note on Similar Research Project Retrieval via Deep Metric Learning to Support Selection of Co-researchers
斉藤直輝, 水谷祐輔, 小川貴弘, 長谷山美紀, 長谷山美紀, 人工知能学会全国大会論文集(Web), 39th, 2025

AI research for DX realization in the field of infrastructure maintenance
前田圭介, 小川貴弘, 長谷山美紀, 画像ラボ, 35, 7, 2024

A Note on Similar Case Retrieval via Deep Metric Learning Using Sensor Data Obtained from Semiconductor Manufacturing Equipment
斉藤直輝, 藤後廉, 前田圭介, 小林累輝, 中村隆央, 岡谷基弘, 数井誠人, 松沢貴仁, 小川貴弘, 長谷山美紀, 人工知能学会全国大会論文集(Web), 38th, 2024

Investigation on estimation of factory and environmental factors affecting properties of rubber materials
柳凜太郎, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 人工知能学会全国大会論文集(Web), 38th, 2024

A note on recommendation with explainability based on knowledge graph reasoning using graph masked autoencoders
櫻井慶悟, 藤後廉, 小川貴弘, 長谷山美紀, 人工知能学会全国大会論文集(Web), 38th, 2024

Prediction of Event Locations from Urgent Call Using Speech Recognition and Generative AI
吉田将規, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

A Note on Performance Improvement of Expert-novice Classification by Spatial Temporal Attention Graph Convolutional Network Using Motion Data
清野竜生, 斉藤直輝, 小川貴弘, 浅水仁, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

Research for Next-generation Infrastructure Maintenance and Activity of Collaboration Agreement with Hokkaido Regional Development Bureau
前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

A Note on Domain Adaptation by Setting Features of Interest in Visual Language Models
岡村洋希, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

A Note on Reduced Reference Image Quality Assessment for Neural Radiance Fields
河合雅斗, 柳凜太郎, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

Damage Detection Using Drone Videos of Road Attachments Based on Vision Transformer
渡部航史, 小川直輝, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

A Note on Improvement of Multimodal Large Language Model Considering Object Attributes and Relationships
大羽賀駿也, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

A Note on Pass Area Estimation Considering Positional Coordinate Information of American Football
河合雅斗, 柳凜太郎, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

Technology of Findings Generation Based on Generative AI for Efficient Bridge Inspection
渡邉優宇人, 小川直輝, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

A Note on Action Estimation with Event Stream Data of Soccer Player Based on Bidirectional Transformer
五箇亮太, 諸戸祐哉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

A Note on Text to Image Generation Based on Stable Diffusion Using Brain Activity Data While Gazing on Image-Introduction of Controllable Mechanism with Brain Activity Data in Latent Space-
七田亮, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告(Web), 48, 6(MMS2024 1-30/ME2024 17-46/AIT2024 1-30), 2024

A Note on Improving Robustness of CLIP by Adversarial Training Enhanced with Brain Activity
中島佑, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2024, 2024

A Note on Lung Disease Classification Considering Domain Knowledge Via Continuous Self-supervised Learning Pre-trained on J-MID Database
太齊蓮, LI Guang, 藤後廉, TANG Minghui, 吉村高明, 杉森博行, 平田健司, 小川貴弘, 工藤與亮, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2024, 2024

A Note on Model Generalization Based on Generated Images Using Data Selection Considering Class Information
早川楓, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2024, 2024

A Note on Improvement of Non-hierarchical Clients Clustering Utilizing Model Learning Trajectories on Personalized Federated Learning
久保田健太, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2024, 2024

A Note on Text-Controllable Symbolic Music Generation Based on Diffusion Models
ZHU Jinlong, 櫻井慶悟, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2024, 2024

A note on emotion classification of images by multimodal LLM considering the similarity of individual emotion elicitation
高橋諒, 斉藤直輝, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2024, 2024

A Note on Data Augmentation in Composed Image Retrieval Using Counterfactual Image Generation Model
上杉健大, 斉藤直輝, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2024, 2024

A Note on Lung Disease Classification in Small Datasets Based on Weight Selection
堤彩花, LI Guang, 藤後廉, 小川貴弘, 近藤敏志, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2024, 2024

Analysis of self-consuming training loops for music generation
LIU Shilin, 上川恭平, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2024, 2024

AIを基盤とした異分野融合研究~産官学地域連携による取組~
長谷山美紀, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2024, 2024

A Note on Classification of Expert-novice Level Using Motion and Gaze Data via Spatial Temporal Attention GCN
清野竜生, 斉藤直輝, 小川貴弘, 浅水仁, 長谷山美紀, 人工知能学会全国大会論文集(Web), 38th, 2024

Estimation of contact accident risk based on recurrent neural network introducing spatial-temporal attention
五箇亮太, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 5, 1, 2024

Zero-shot high-risk situation detection based on object detection and pose estimation using fixed camera at construction site
大羽賀駿也, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 5, 1, 2024

Prediction of event locations from urgent call using large language models
吉田将規, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 5, 1, 2024

サッカー映像における時空間的関係を考慮したシュート予測の高精度化に関する検討 : 競技者のチーム情報に基づく完全二部グラフの導入—A Note on Accurate Shoot Prediction Considering Players' Spatio-temporal Relations in Soccer Videos : Introduction of Complete Bipartite Graph Based on Players' Team Information—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
五箇 亮太, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 47, 6, 23, 28, Feb. 2023
東京 : 映像情報メディア学会, Japanese

クラス情報を導入したグラフ表現による教師有り潜在変数モデルの高精度化に関する検討—A Note on Improvement of Supervised Latent Variable Model with Graph-Encoded Class Information—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
渡部 航史, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 47, 6, 29, 33, Feb. 2023
東京 : 映像情報メディア学会, Japanese

属性情報の階層関係を考慮したアニメイラストのマルチラベル分類に関する検討—A Note on Multi-label Image Classification in Animation Illustration Considering Hierarchical Relationships of Attributes—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
蘭 子文, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 47, 6, 5, 9, Feb. 2023
東京 : 映像情報メディア学会, Japanese

ユーザの視線情報を考慮したコンテンツベースの画像再検索に関する検討—A note on gaze-dependent image re-ranking for content-based image retrieval—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
馮 鈺虎, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 47, 6, 89, 93, Feb. 2023
東京 : 映像情報メディア学会, Japanese

最先端AI研究を基盤とした産官学地域連携によるインフラDXへの取組み
長谷山美紀, 高速道路と自動車, 66, 11, 2023

A Note on Zero-shot Composed Image Retrieval Considering the Relationships between Images and Texts based on Textual Inversion
ZHANG Huaying, 柳凜太郎, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2023, 2023

A Note on Improving Noisy Labels Learning via Label Correction Utilizing Pre-trained Models
柏木將希, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2023, 2023

A Note on Caption Unification for Multi-view Lifelogging Images Using In-context Learning
佐藤雅也, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2023, 2023

A Note on the Personalization for Multiple Objects in Image Generation Using a Diffusion Model
松田遥, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2023, 2023

A Note on the Estimation of Language Information from fMRI Using a Multimodal Large-Scale Language Model-Estimation of Language Information from Temporal Auditory Stimuli Based on In-context Learning-
藤後太郎, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2023, 2023

A Study on Evaluating the Role of Feature Extraction in Enhancing the Accuracy of Visual Counterfactual Machine Learning Models
LI Xiang, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2023, 2023

A Note on Classification of Proficiency-level Using Motion Data though Spatial Temporal Attention Graph Convolutional Network
清野竜生, 斉藤直輝, 小川貴弘, 浅水仁, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2023, 2023

Acquisition of feature representation of record data via graph neural network to support determination of deterioration levels
山本一輝, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 4, 3, 2023

Distress detection using egocentric videos for increasing discovery rate of novel distress during subway tunnel inspection
櫻井慶悟, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 4, 3, 2023

Classification of Winter Road Surface Condition Based on Multi-modal Transformer Using Sequential Data
諸戸祐哉, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 4, 3, 2023

Efforts of Hokkaido university to develop data-driven interdisciplinary research
長谷山美紀, 水谷祐輔, 田中晋吾, 映像情報メディア学会技術報告, 47, 6(MMS2023 1-34/ME2023 21-54/AIT2023 1-34), 2023

DEGRADATION DEGREE ESTIMATION OF DISTRESS IMAGE IN ROAD INFRASTRUCTURE USING MULTI-DATASET CONTRASTIVE LEARNING
東孝明, 小川直輝, 前田圭介, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 4, 2, 2023

A Note on Multi-label Image Classification in Animation Illustration Considering Hierarchical Relationships of Attributes
LAM Ziwen, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 47, 6(MMS2023 1-34/ME2023 21-54/AIT2023 1-34), 2023

A Note on Text Prompt Tuning in Cross-modal Image Retrieval for a Specific Database
ZHANG Huaying, 柳凛太郎, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 47, 6(MMS2023 1-34/ME2023 21-54/AIT2023 1-34), 2023

A Note on Improvement of Binauralization Performance Based on Multi-view Learning on 360° Videos
吉田将規, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 47, 6(MMS2023 1-34/ME2023 21-54/AIT2023 1-34), 2023

A Note on Improvement of Supervised Latent Variable Model with Graph-Encoded Class Information
渡部航史, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 47, 6(MMS2023 1-34/ME2023 21-54/AIT2023 1-34), 2023

A note on gaze-dependent image re-ranking for content-based image retrieval
FENG Yuhu, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 47, 6(MMS2023 1-34/ME2023 21-54/AIT2023 1-34), 2023

A Note on Accurate Shoot Prediction Considering Players’ Spatio-temporal Relations in Soccer Videos-Introduction of Complete Bipartite Graph Based on Players’ Team Information-
五箇亮太, 諸戸祐哉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 47, 6(MMS2023 1-34/ME2023 21-54/AIT2023 1-34), 2023

A Note on Interpretable Visual Question Answering Model with Visual Representation Based on Object Detection Model
ZHU He, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 47, 6(MMS2023 1-34/ME2023 21-54/AIT2023 1-34), 2023

知識蒸留を用いたFew-shot Learningに基づく画像の感情ラベル推定に関する検討—A Note on Visual Sentiment Prediction Based on Few-shot Learning Using Knowledge Distillation—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
叶 穎睿, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 171, 175, Feb. 2022
Japanese

Variational Autoencoderに基づく深層生成モデルを用いた潜在表現のDisentanglementに関する検討 : Disentanglement評価指標を含む正則化損失の導入—A Note on Disentanglement Using Deep Generative Model Based on Variational Autoencoder : Introduction of Regularization Losses Based on Metrics of Disentangled Representation—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
中川 真, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 97, 102, Feb. 2022
Japanese

Captioning特徴を利用したグラフ畳み込みネットワークに基づくアニメイラストのマルチラベル画像分類に関する検討—A Note on Multi-label Image Recognition in Anime Illustration Based on Graph Convolutional Networks Using Captioning Features—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
蘭 子文, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 161, 165, Feb. 2022
Japanese

ゴム材料開発のためのGenerative Adversarial Networkに基づく配合量および物性からの電子顕微鏡画像の生成に関する一検討—A Note on Electron Microscope Image Generation from Mix Proportion and Material Property via Generative Adversarial Network for Rubber Materials—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
柳 凛太郎, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 187, 191, Feb. 2022
Japanese

セマンティックセグメンテーションに対するマルチソースモデル適応に関する検討 : 複数のソースモデルからの不変な特徴表現の学習による適応精度の向上—A note on multi-source model adaptation for semantic segmentation : Improving adaptation performance by learning model-invariant representation from multiple source models—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
李 宗曜, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 37, 41, Feb. 2022
Japanese

地下鉄トンネル点検時の技術者から取得される生体信号と技術者の点検行動の関連性分析—Relevance Analysis between Bio-signals of Engineers Inspecting Subway Tunnels and Their Inspection Behaviors—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
平澤 魁人, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 365, 370, Feb. 2022
Japanese

高速道路の遮音壁画像を用いた物体検出手法による変状分類の高精度化に関する検討—A note on improvement of distress classification using noise barrier images on highway via object detection method—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
梁 鋆, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 359, 363, Feb. 2022
Japanese

道路構造物の維持管理効率化に向けた変状画像分類の高精度化に関する検討 : テキストデータに基づく類似事例の含有率の導入—A Note on Improvement of Accuracy in Classification of Destress Images for Efficient Inspection of Road Structures : Introduction of Ratio of Similar Cases Based on Text Data—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
平川 泰成, 小川 直輝, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 43, 48, Feb. 2022
Japanese

地下鉄トンネルの維持管理支援のためのマルチスケール解析を導入した深層学習に基づく変状検出に関する検討—A Note on Distress Detection Based on Deep Learning with Hierarchical Multi-Scale Attention Mechanism for Supporting Maintenance of Subway Tunnels—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
高田 紗弥, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 377, 381, Feb. 2022
Japanese

A Note on Automatic Diagnosis of Helicobacter Pylori Infection Based on Self-Supervised Learning and Self-Knowledge Distillation: マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
トウゴ レン, マベ カツヒロ, ニシダ シュンペイ, トモダ ヨシヒロ, オガワ タカヒロ, ハセヤマ ミキ, 46, 6, 49, 52, Feb. 2022
English

A Note on Realizing Adversarial Defense Based on Regularization of Multi-stage Squeeze-and-Excitation Features: マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
マエダ ケイスケ, オガワ タカヒロ, ハセヤマ ミキ, 46, 6, 87, 90, Feb. 2022
English

ユーザの動作情報を用いたコンテンツの関心度推定に関する検討 : 複数ユーザを導入した特徴統合の有効性検証—A Note on Interest level Estimation Using Users' behavior Information : Validating the Effectiveness of Feature Integration with Multiple Users—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
上川 恭平, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 103, 107, Feb. 2022
Japanese

画像注視時の脳活動信号を用いた圧縮再構成ネットワークに基づく視覚認知内容の推定に関する検討—A Note on Perceived Visual Content Estimation Based on Compressed Reconstruction Network Using Brain Signals While Gazing on Images—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
東 孝明, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 349, 353, Feb. 2022
Japanese

Attention mapに対する確信度を考慮可能な深層学習を用いた変状分類の高精度化に関する検討—A Note on Accurate Distress Classification Using Deep Learning Considering Confidence in Attention map—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
小川 直輝, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 371, 376, Feb. 2022
Japanese

A Note on Transformer-based Scene Recognition in Soccer Videos Using Different Lengths of Clips: マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
トウゴ レン, オガワ タカヒロ, ハセヤマ ミキ, 46, 6, 167, 170, Feb. 2022
English

画像中の物体情報を考慮したユーザ類似度に基づく個人に特化した注視領域の推定に関する検討—A Note on Personalized Saliency Prediction Based on User Similarity Considering Object Information in Images—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 181, 186, Feb. 2022
Japanese

橋梁点検時の技術者の一人称および三人称視点映像を用いた点検動作の分類に関する検討—A Note on Inspection Action Classification Using First and Third Person Video of Engineers Inspecting Bridges—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
増田 毅, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 177, 180, Feb. 2022
Japanese

ユーザの嗜好を考慮した強化学習と知識グラフに基づく楽曲プレイリスト生成に関する検討—A Note on User Preference-Aware Music Playlist Generation Based on Reinforcement Learning and Knowledge Graph—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
櫻井 慶悟, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 46, 6, 109, 112, Feb. 2022
Japanese

AIの実社会応用とインフラ分野の将来像
長谷山美紀, 高速道路と自動車, 65, 12, 2022

DETERIORATION LEVEL CLASSIFICATION OF DISTRESS IMAGE CONSIDERING CORRELATION AMONG HETEROGENEOUS FEATURES AND ATTENTION MAP CONFIDENCE
小川直輝, 前田圭介, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 3, J2, 2022

WINTER ROAD SURFACE CONDITION CLASSIFICATION USING DEEP LEARNING WITH FOCAL LOSS BASED ON TEXT AND IMAGE INFORMATION
諸戸祐哉, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 3, J2, 2022

DISTRESS DETECTION BASED ON VISION TRANSFORMER USING EGOCENTRIC VIDEOS WHILE INSPECTING IN SUBWEY TUNNELS
櫻井慶悟, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 3, J2, 2022

CLASSIFICATION OF INSPECTION ACTION OF ENGINEERS FOR EFFICIENT VIDEO PRESENTATION TO ASSIST ASSESSMENT OF INFRASTRUCTURE FACILITY DISTRESS
上川恭平, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, AI・データサイエンス論文集(Web), 3, J2, 2022

A note on multi-source model adaptation for semantic segmentation-Improving adaptation performance by learning model-invariant representation from multiple source models-
LI Zongyao, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

A Note on User Preference-Aware Music Playlist Generation Based on Reinforcement Learning and Knowledge Graph
櫻井慶悟, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

A Note on Disentanglement Using Deep Generative Model Based on Variational Autoencoder-Introduction of Regularization Losses Based on Metrics of Disentangled Representation-
中川真, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

A Note of the Relationship between Popularity Bias and Embedding Representations of Latent Factor Models in Collaborative Filtering
岡村洋希, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2022, 2022

A Note on Robust Recommendation System for Domain-dependent Preference Based on Domain-shared Network
山本一輝, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2022, 2022

A Note on Image Retrieval Robust for Changing Camera Views Using Synthesized Images by pixelNeRF
江良勇輝, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2022, 2022

A Study on Non-reference Image Quality Assessment Considering Phaseless Components of Neural Radiance Fields
河合雅斗, 柳凛太郎, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2022, 2022

A Note on Uncertainty-based Shoot Event Prediction from Scouting Videos of Soccer by Considering Spatio-Temporal Relations between Players
五箇亮太, 諸戸祐哉, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2022, 2022

A Note on Estimation of Viewed Images Using Brain Activity Data While Viewing Images-A Verification of Estimation Accuracy by Regression Model Used for fMRI Decoder-
七田亮, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2022, 2022

A Note on Estimation of Diabetic Retinopathy Grades Based on Unsupervised Domain Adaptation Using Fundus Images
國枝翼, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2022, 2022

A Note on Electron Microscope Image Generation from Mix Proportion and Material Property via Generative Adversarial Network for Rubber Materials
柳凜太郎, 藤後廉, 前田圭介, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

A Note on Improvement of Accuracy in Classification of Destress Images for Efficient Inspection of Road Structures- Introduction of Ratio of Similar Cases Based on Text Data-
平川泰成, 小川直輝, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

A Note on Distress Detection Based on Deep Learning with Hierarchical Multi-Scale Attention Mechanism for Supporting Maintenance of Subway Tunnels
高田紗弥, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

A Note on Perceived Visual Content Estimation Based on Compressed Reconstruction Network Using Brain Signals While Gazing on Images
東孝明, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

A Note on Interest level Estimation Using Users’ behavior Information-Validating the Effectiveness of Feature Integration with Multiple Users-
上川恭平, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

A Note on Visual Sentiment Prediction Based on Few-shot Learning Using Knowledge Distillation
YE Yingrui, 諸戸祐哉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

Relevance Analysis between Bio-signals of Engineers Inspecting Subway Tunnels and Their Inspection Behaviors
平澤魁人, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

A Note on Personalized Saliency Prediction Based on User Similarity Considering Object Information in Images
諸戸祐哉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

A Note on Accurate Distress Classification Using Deep Learning Considering Confidence in Attention map
小川直輝, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 46, 6(MMS2022 1-37/ME2022 26-62/AIT2022 1-37), 2022

AIの実社会応用と次世代インフラ維持管理
長谷山 美紀, 学士会会報, 2022, 1, 78, 83, Jan. 2022
学士会, Japanese

招待講演 マルチメディアAI技術に基づく異分野融合研究と実社会応用—Invited Talk : Interdisciplinary Research and Real-world Applications Based on Multimedia AI technologies—情報センシング メディア工学 映像・信号の処理・解析・AI技術とその多分野応用
小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 13, 73, 80, Jun. 2021
映像情報メディア学会, Japanese

A Note on Distress Classification of High-resolution Subway Tunnel Images based on HRNet: マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
トウゴ レン, オガワ タカヒロ, ハセヤマ ミキ, 45, 4, 13, 16, Feb. 2021
English

地下鉄トンネルの維持管理支援を目的とした深層学習に基づく変状検出の高精度化に関する検討 : 壁面の施工方法に注目した精度検証—A Note on Improving Performance of Deep Learning-based Distress Detection for Supporting Maintenance of Subway Tunnels : Accuracy Verification Focusing on Tunnel Wall Characteristics—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
春山 知生, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 4, 1, 6, Feb. 2021
映像情報メディア学会, Japanese

特別講演 実店舗の防犯カメラ映像データを用いた顧客の関心推定に関する検討 : 姿勢推定モデルから得られる特徴量を用いた異常検知モデルの精度検証—A Note on Customer's Interest Estimation Method Using Security Camera Video Data from the Real Store : Validation of the accuracy of an anomaly detection model using features obtained from a posture estimation model—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
本間 勇紀, 藤後 廉, 阿部 真育, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 4, 193, 198, Feb. 2021
映像情報メディア学会, Japanese

地下鉄トンネル点検時の技術者から取得される視線およびモーションデータに基づく熟練度の推定に関する検討—A Note on Estimation of Expert-Novice Level Based on Eye Tracking and Motion Data from Engineers While Inspecting Subway Tunnel—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
赤松 祐亮, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 4, 7, 12, Feb. 2021
映像情報メディア学会, Japanese

特別講演 ゴム材料開発のためのConditional StyleGANに基づく配合量からの電子顕微鏡画像の生成に関する一検討—A Note on Electron Microscope Image Generation from Mix Proportion via Conditional Style Generative Adversarial Network for Rubber Materials—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
柳 凜太郎, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 4, 171, 175, Feb. 2021
映像情報メディア学会, Japanese

特別講演 路面画像を用いた深層学習に基づく路面状態の分類に関する検討—A Note on Discrimination of Road Surface Conditions Based on Deep Learning Using Road Images—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 4, 165, 169, Feb. 2021
映像情報メディア学会, Japanese

TCCに基づく自己教師学習による特徴表現を用いた映像中の人物動作の検出に関する検討 : 動作検出パラメータが与える影響に対する考察—A Note on Action Detection Using Feature Representation via Self-Supervised Learning based on TCC : Effectiveness evaluation of parameters for action detection—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
増田 毅, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 4, 47, 51, Feb. 2021
映像情報メディア学会, Japanese

電子顕微鏡により撮像されたゴム材料からの異常検知に基づく劣化領域の推定に関する一検討 : 深層学習モデルにより抽出された特徴表現の有効性検証—A Note on Estimation of Deteriorated Regions Based on Anomaly Detection from Rubber Material Electron Microscope Images : Verification of Feature Representations Extracted from Deep Learning Models—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
松本 真直, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 4, 43, 46, Feb. 2021
映像情報メディア学会, Japanese

サッカー映像における情報の提示位置の推定に関する検討 : 視聴者の注視位置および選手位置に基づいたオブジェクト配置の決定—A Note on Position Estimation of Superimposing Information in Soccer Videos : Decision of Object Placement Based on User's Gaze Position and Players' Positions—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
鈴木 元樹, 高橋 翔, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 4, 77, 81, Feb. 2021
映像情報メディア学会, Japanese

A Note on Automatic Diagnosis of Helicobacter Pylori Infection Based on EfficientNet with Flooding Loss: マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
トウゴ レン, マベ カツヒロ, ニシダ シュンペイ, トモダ ヨシヒロ, シミズ ヒカリ, オガワ タカヒロ, ハセヤマ ミキ, 45, 4, 23, 26, Feb. 2021
English

Twitterと映像を用いたMVAEに基づく野球映像の重要シーン予測に関する検討—A Note on Prediction of Important Scenes in Baseball Videos via Multimodal Variational Autoencoder Using Tweets and Videos—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
平澤 魁人, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 4, 71, 75, Feb. 2021
映像情報メディア学会, Japanese

Detecting axillary lymph node metastasis of breast cancer with FDG-PET/CT images based on attention mechanism: FDG-PET/CT画像を用いたattention mechanismに基づく乳癌の腋窩リンパ節転移の検出: マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
トウゴ レン, ヒラタ ケンジ, キタジマ カズヒロ, タケナカ ジュンキ, ミヨシ ヤスオ, クドウ コウスケ, オガワ タカヒロ, ハセヤマ ミキ, 45, 4, 33, 36, Feb. 2021
English

特別講演 ユーザの嗜好を反映可能なインテリアコーディネート検索技術の構築 : コーディネートを表現可能な特徴の抽出と実データへの適用—A Note on Interior Coordination Retrieval Reflecting User's Preferences : Extraction of Features Representing Coordination and Application to Real Data—マルチメディアストレージ メディア工学 映像表現&コンピュータグラフィックス
藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 45, 4, 187, 191, Feb. 2021
映像情報メディア学会, Japanese

A Note on Off-screen Sound Detection Based on Audio-visual Spatialization-Introduction of Audio-visual Features Based on Self-supervised Learning-
吉田将規, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2021, 2021

A Note on Effect of Visual Representation Ability to Performance of World Models
大羽賀駿也, 藤後廉, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2021, 2021

A Verification of Vulnerability of Graph-based Recommender Models under Shilling Attacks
小野寺望, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2021, 2021

A Note on Multi-label Image Recognition in Anime Illustration Based on Graph Convolutional Networks
LAN Ziwen, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2021, 2021

A Note on Introducing Self-supervised Learning to Latent Variable Model for Low-dimensional Feature Extraction
渡部航史, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2021, 2021

An Note on Use of Multiple Datasets in Visual Sentiment Prediction Using Few-shot Learning
YE Yingrui, 諸戸祐哉, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2021, 2021

A Note on Accuracy Assessment Focusing on Manipulation Area by Text-Guided Image Manipulation
渡邉優宇人, 藤後廉, 前田圭介, 小川貴弘, 長谷山美紀, 電気・情報関係学会北海道支部連合大会講演論文集(CD-ROM), 2021, 2021

A Note on Estimation of Semantic Content Based on a Question Answering Model Using Brain Activity Data while Viewing Images-Improvement of Estimation Performance Based on fine-tuning of the VQA model-
高田紗弥, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 27, 31, 2021
映像情報メディア学会, Japanese

A Note on Improvement of Image Sentiment Analysis Based on Introduction of Image Captioning
LIANG Yun, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 65, 69, 2021
映像情報メディア学会, Japanese

A Note on Cross-domain Recommendation Based on Multi-layer Graph Analysis with Visual Features
平川泰成, 前田圭介, 小川貴弘, 浅水仁, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 59, 63, 2021
映像情報メディア学会, Japanese

A Note on Improving Performance of Deep Learning-based Distress Detection for Supporting Maintenance of Subway Tunnels-Accuracy Verification Focusing on Tunnel Wall Characteristics-
春山知生, 前田圭介, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 2021

A Note on Customer’s Interest Estimation Method Using Security Camera Video Data from the Real Store-Validation of the accuracy of an anomaly detection model using features obtained from a posture estimation model-
本間勇紀, 本間勇紀, 藤後廉, 阿部真育, 小川貴弘, 長谷山美紀, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 2021

A Note on Estimating of Deteriorated Refions Based on Anomaly Detection from Rubber Material Electron Microscope Images-Verification of Feature Representations Extracted from Deep Learning Models-
松本真直, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 2021

A Note on Estimation of Expert-Novice Level Based on Eye Tracking and Motion Data from Engineers While Inspecting Subway Tunnel
赤松祐亮, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 2021

A Note on Action Detection Using Feature Representation via Self-Supervised Learning based on TCC-Effectiveness evaluation of parameters for action detection-
増田毅, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 2021

A Note on Discrimination of Road Surface Conditions Based on Deep Learning Using Road Images
諸戸祐哉, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 2021

A Note on Position Estimation of Superimposing Information in Soccer Videos-Decision of Object Placement Based on User’s Gaze Position and Players’ Positions-
鈴木元樹, 高橋翔, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 2021

A Note on Prediction of Important Scenes in Baseball Videos via Multimodal Variational Autoencoder Using Tweets and Videos
平澤魁人, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 2021

A Note on Interior Coordination Retrieval Reflecting User’s Preferences-Extraction of Features Representing Coordination and Application to Real Data-
藤後廉, 小川貴弘, 長谷山美紀, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 2021

A Note on Accurate Distress Image Classification of Road Structures Using Attention Map Based on Text Data
小川直輝, 前田圭介, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 17, 21, 2021
映像情報メディア学会, Japanese

A Note on Electron Microscope Image Generation from Mix Proportion via Conditional Style Generative Adversarial Network for Rubber Materials
柳凜太郎, 藤後廉, 小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 4(MMS2021 1-28/ME2021 1-28/AIT2021 1-28), 2021

AIを中心とした医療デジタル技術基盤の構築へ向けた取り組み
藤後廉, 小川貴弘, 長谷山美紀, 日本消化器がん検診学会雑誌(Web), 59, Supplement 1, 2021

Interdisciplinary Research and Real-world Applications Based on Multimedia AI technologies
小川貴弘, 長谷山美紀, 映像情報メディア学会技術報告, 45, 13(IST2021 22-29/ME2021 53-60), 2021

The Clinical Application of Artificial Intelligence for Detecting Atrophic Gastritis by Upper Gastrointestinal Barium X-ray Radiography
竹内千尋, 藤後廉, 小川貴弘, 長谷山美紀, 山道信毅, 臨床消化器内科, 36, 8, 1062, 1065, 2021
日本メディカルセンター

データサイエンスのあるべき姿とは : 高等教育・研究機関における取り組みを通じての意見交換会—特集 データサイエンス教育の潮流(その1)
木島 正明, 竹村 彰通, 長谷山 美紀, 椿 広計, 蓮池 隆, オペレーションズ・リサーチ = Communications of the Operations Research Society of Japan : 経営の科学, 65, 10, 525, 536, Oct. 2020
日本オペレーションズ・リサーチ学会 ; 1956-, Japanese

メディア工学研究委員会—Technical Group on Media Engineering—特集 学会創立70周年記念特集 ; 映像情報メディア学会の研究会活動 : 過去から未来へ
村上 和人, 長谷山 美紀, 田川 憲男, 田良島 周平, 石井 大祐, 映像情報メディア学会誌 = The journal of the Institute of Image Information and Television Engineers, 74, 5, 779, 783, Sep. 2020
映像情報メディア学会, Japanese

画像内の物体に着目した画像検索に関する検討 : RetinaNetを用いた物体認識に基づく高精度化—A Note on Image Retrieval Focusing on Objects in Images : Improving Retrieval Performance Based on Object Recognition Using RetinaNet—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
柳 凛太郎, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 377, 381, Feb. 2020
映像情報メディア学会, Japanese

画像注視時の視線データを用いた関心度の推定に関する検討 : ラベルの逆量子化を導入したsMVCCAによる推定精度の高精度化—A Note on Eye Gaze Based User-specific Interest Estimation for Images : Estimation Performance Improvement Based on sMVCCA including Ordinal Label Dequantization—ITS : Intelligent Transport Systems Technology
松本 真直, 斉藤 直輝, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 73, 77, Feb. 2020
電子情報通信学会, Japanese

画像注視時の視線データを用いた関心度の推定に関する検討 : ラベルの逆量子化を導入したsMVCCAによる推定精度の高精度化—A Note on Eye Gaze Based User-specific Interest Estimation for Images : Estimation Performance Improvement Based on sMVCCA including Ordinal Label Dequantization—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
松本 真直, 斉藤 直輝, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 73, 77, Feb. 2020
映像情報メディア学会, Japanese

地下鉄トンネル点検時の生体信号に基づいた熟練および若手技術者の分類に関する検討—A Note on Classification of Experienced and Novice Inspectors Based on Bio-signals While Inspecting in Subway Tunnels—ITS : Intelligent Transport Systems Technology
九島 哲哉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 101, 105, Feb. 2020
電子情報通信学会, Japanese

特別講演 社会インフラ維持管理効率化のための最先端AI技術の導入 : 点検データを用いた変状分類の精度向上に向けた取り組み—Introduction of Advanced AI Technology for Efficient Maintenance Inspection of Social Infrastructure : Performance Improvement of Distress Image Classification Utilizing Inspection Data—ITS : Intelligent Transport Systems Technology
前田 圭介, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 359, 362, Feb. 2020
電子情報通信学会, Japanese

道路構造物の変状評価における技術者の視線データと熟練度の分析に関する一考察—A Note on Analysis of Gaze Data and Skills of Inspectors in Distress Assessment of Road Structures—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
松井 太我, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 97, 100, Feb. 2020
映像情報メディア学会, Japanese

道路構造物の維持管理効率化に向けた変状画像分類における信頼性の向上に関する検討—A Note on Improvement of Reliability of Distress Image Classification for Efficient Maintenance of Road Structures—ITS : Intelligent Transport Systems Technology
堀井 風葉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 51, 56, Feb. 2020
電子情報通信学会, Japanese

画像内の物体に着目した画像検索に関する検討 : RetinaNetを用いた物体認識に基づく高精度化—A Note on Image Retrieval Focusing on Objects in Images Improving Retrieval Performance Based on Object Recognition Using RetinaNet—ITS : Intelligent Transport Systems Technology
柳 凜太郎, 藤後 廉, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 377, 381, Feb. 2020
電子情報通信学会, Japanese

弱異常検知アルゴリズムに基づくCCTV映像を用いた河川利用者の異常行動の検出に関する検討—A Note on Abnormal Motion Detection of River Users on CCTV Videos Based on Weakly Supervised Anomaly Detection Algorithm—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
渡邊 はるな, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 367, 370, Feb. 2020
映像情報メディア学会, Japanese

A note on retrieval of visually similar distress regions in subway tunnel images : Introduction of deep features extracted by semantic segmentation network: ITS : Intelligent Transport Systems Technology
トウゴ レン, オガワ タカヒロ, ハセヤマ ミキ, 119, 421, 65, 68, Feb. 2020
English

画像注視時のヒトの感情推定のための視線特徴の推定に関する検討—A Note on Estimation of Gaze Features for Human Emotion Estimation while Viewing Images—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 85, 89, Feb. 2020
映像情報メディア学会, Japanese

ゴム材料の配合量を用いたAC-GANに基づく電子顕微鏡画像の生成に関する一検討—A Note on Generation of Electron Microscope Images via Auxiliary Classifier Generative Adversarial Network with Mix Proportions—ITS : Intelligent Transport Systems Technology
金井 美岬, 藤後 廉, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 107, 111, Feb. 2020
電子情報通信学会, Japanese

ゴム材料の配合量を用いたAC-GANに基づく電子顕微鏡画像の生成に関する一検討—A Note on Generation of Electron Microscope Images via Auxiliary Classifier Generative Adversarial Network with Mix Proportions—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
金井 美岬, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 107, 111, Feb. 2020
映像情報メディア学会, Japanese

道路構造物の変状評価における技術者の視線データと熟練度の分析に関する一考察—A Note on Analysis of Gaze Data and Skills of Inspectors in Distress Assessment of Road Structures—ITS : Intelligent Transport Systems Technology
松井 太我, 前田 圭介, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 97, 100, Feb. 2020
電子情報通信学会, Japanese

エッジの補完を導入したツイートクラスタリングの高精度化に関する検討—A Note on Tweet Clustering by Complementing Edges among Tweets—ITS : Intelligent Transport Systems Technology
滝村 祥司, 原川 良介, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 61, 64, Feb. 2020
電子情報通信学会, Japanese

地下鉄トンネル維持管理支援を目的とした類似画像の検索に関する検討 : 技術者の評価を反映可能な距離計量学習の導入—A Note on Retrieval of Similar Images for Supporting Maintenance of Subway Tunnels : Introduction of Distance Metric Learning Reflecting Inspectors' Evaluation—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
松本 有衣, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 47, 50, Feb. 2020
映像情報メディア学会, Japanese

特別講演 社会インフラ維持管理効率化のための最先端AI技術の導入 : 点検データを用いた変状分類の精度向上に向けた取り組み—Introduction of Advanced AI Technology for Efficient Maintenance Inspection of Social Infrastructure : Performance Improvement of Distress Image Classification Utilizing Inspection Data—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 359, 362, Feb. 2020
映像情報メディア学会, Japanese

地下鉄トンネル維持管理支援を目的とした類似画像の検索に関する検討 : 技術者の評価を反映可能な距離計量学習の導入—A Note on Retrieval of Similar Images for Supporting Maintenance of Subway Tunnels : Introduction of Distance Metric Learning Reflecting Inspectors' Evaluation—ITS : Intelligent Transport Systems Technology
松本 有衣, 前田 圭介, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 47, 50, Feb. 2020
電子情報通信学会, Japanese

穿孔データを用いたオンライン学習に基づく岩盤の圧縮強度指数推定に関する検討—A Note on Estimation of rock compressive strength index from drilling data based on online learning—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
山本 健太郎, 藤後 廉, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 57, 60, Feb. 2020
映像情報メディア学会, Japanese

穿孔データを用いたオンライン学習に基づく岩盤の圧縮強度指数推定に関する検討—A Note on Estimation of rock compressive strength index from drilling data based on online learning—ITS : Intelligent Transport Systems Technology
山本 健太郎, 藤後 廉, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 57, 60, Feb. 2020
電子情報通信学会, Japanese

サッカー映像視聴時の視線データを用いた情報の提示領域の算出に関する検討—Presentation Region Calculation of Information Based on Gaze Tracking Data in Soccer Videos—ITS : Intelligent Transport Systems Technology
鈴木 元樹, 高橋 翔, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 91, 95, Feb. 2020
電子情報通信学会, Japanese

地下鉄トンネル点検時の生体信号に基づいた熟練および若手技術者の分類に関する検討—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
九島 哲哉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 101, 105, Feb. 2020
映像情報メディア学会, Japanese

Bidirectional LSTMを用いたサッカー映像におけるイベント分類に関する検討—A Note on Event Classification in Soccer Videos Using Bidirectional LSTM—ITS : Intelligent Transport Systems Technology
春山 知生, 高橋 翔, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 371, 375, Feb. 2020
電子情報通信学会, Japanese

画像注視時のヒトの感情推定のための視線特徴の推定に関する検討—A Note on Estimation of Gaze Features for Human Emotion Estimation while Viewing Images—ITS : Intelligent Transport Systems Technology
諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報, 119, 421, 85, 89, Feb. 2020
電子情報通信学会, Japanese

道路構造物の維持管理効率化に向けた変状画像分類における信頼性の向上に関する検討—A Note on Improvement of Reliability of Distress Image Classification for Efficient Maintenance of Road Structures—マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス
堀井 風葉, 前田 圭介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 51, 56, Feb. 2020
映像情報メディア学会, Japanese

A Note on Tweet Clustering by Complementing Edges among Tweets
滝村 祥司, 原川 良介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 61, 64, Feb. 2020
映像情報メディア学会, Japanese

A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS
赤松 祐亮, 原川 良介, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 79, 83, Feb. 2020
映像情報メディア学会, Japanese

サッカー映像視聴時の視線データを用いた情報の提示領域の算出に関する検討 (マルチメディアストレージ ヒューマンインフォメーション メディア工学 映像表現&コンピュータグラフィックス)
鈴木 元樹, 高橋 翔, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 91, 95, Feb. 2020
映像情報メディア学会, Japanese

A Note on Event Classification in Soccer Videos Using Bidirectional LSTM
春山 知生, 高橋 翔, 小川 貴弘, 長谷山 美紀, 映像情報メディア学会技術報告 = ITE technical report, 44, 6, 371, 375, Feb. 2020
映像情報メディア学会, Japanese

A Note on Tweet Clustering by Complementing Edges among Tweets
滝村祥司, 原川良介, 小川貴弘, 長谷山美紀, 電子情報通信学会技術研究報告, 119, 421(ITS2019 30-56), 2020

A Note on Event Classification in Soccer Videos Using Bidirectional LSTM
春山知生, 高橋翔, 小川貴弘, 長谷山美紀, 電子情報通信学会技術研究報告, 119, 421(ITS2019 30-56), 2020

Introduction of Advanced AI Technology for Efficient Maintenance Inspection of Social Infrastructure-Performance Improvement of Distress Image Classification Utilizing Inspection Data-
前田圭介, 小川貴弘, 長谷山美紀, 電子情報通信学会技術研究報告, 119, 421(ITS2019 30-56), 2020

Presentation Region Calculation of Information Based on Gaze Tracking Data in Soccer Videos
鈴木元樹, 高橋翔, 小川貴弘, 長谷山美紀, 電子情報通信学会技術研究報告, 119, 421(ITS2019 30-56), 2020