論文

• Yuzhe Hao, Asako Kanezaki, Ikuro Sato, Rei Kawakami, Koichi Shinoda. Egocentric Human Activities Recognition With Multimodal Interaction Sensing, IEEE Sensors Journal, IEEE, Vol. 24, No. 5, 7085 - 7096, Mar. 2024.
• Hiroki Naganuma, Kartik Ahuja, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato, Ioannis Mitliagkas. Empirical Study on Optimizer Selectionfor Out-of-Distribution GeneralizationAbstract, Transactions on Machine Learning Research, June 2023.
• Kent Fujiwara, Ikuro Sato, Mitsuru Ambai, Yuichi Yoshida, Yoshiaki Sakakura. Canonical and compact point cloud representation for shape classification, arXiv:1809.04820, arXiv preprint arXiv:1809.04820, 2018.
• Ikuro Sato, Hiroki Nishimura, Kensuke Yokoi. Apac: Augmented pattern classification with neural networks, arXiv preprint arXiv:1505.03229, May 2015.
• Kohta Ishikawa, Ikuro Sato, Mitsuru Ambai. Pairwise Rotation Hashing for High-dimensional Features, arXiv preprint arXiv:1501.07422, Jan. 2015.
• Ikuro Sato, Mitsuru Ambai, Koichiro Suzuki. Sparse isotropic hashing, Information and Media Technologies, Vol. 8, No. 4, pp. 1031-1035, Aug. 2013.

国際会議発表 (査読有り)

• Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato. Distribution-Aware State Update Rule for Modern Hopfield Networks, Eighth International Workshop on Symbolic-Neural Learning (SNL2024), Eighth International Workshop on Symbolic-Neural Learning (SNL2024), June 2024.
• Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue. Efficient Target Propagation by Deriving Analytical Solution, The 38th Annual AAAI Conference on Artificial Intelligence, Proc. AAAI2024, Feb. 2024.
• Tomoya Takahashi, Shingo Yashima, Kohta Ishikawa, Ikuro Sato, Rio Yokota. Pixel-level Contrastive Learning of Driving Videos with Optical Flow, CVPR workshop 2023, Proc. CVPR workshop 2023, IEEE, June 2023.
• Wenru Zheng, Ryota Yoshihashi, Rei Kawakami, Ikuro Sato, Asako Kanezaki. Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array, 6th CVPR Workshop on Multimodal Learning and Applications (MULA),, June 2023.
• Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue. Learning with Partial Forgetting in Modern Hopfield Networks, The 26th International Conference on Artificial Intelligence and Statistics, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, Apr. 2023.  公式リンク  
  
• Yuzhe Hao, Kuniaki Uto, Asako Kanezaki, Ikuro Sato, Rei Kawakami, Koichi Shinoda. EvIs-Kitchen: Egocentric Human Activities Recognition with Video and Inertial Sensor data, 29TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING (MMM), Proc. International Conference on MULTIMEDIA MODELING, Springer Nature, pp. 373–384, Mar. 2023.
• Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato. Fixed-Weight Difference Target Propagation, the 37th AAAI Conference on Artificial Intelligence, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37, no. 8, pp. 9811-9819, Feb. 2023.
• Aoyu Li, Ikuro Sato, Kohta Ishikawa, Rei Kawakami, Rio Yokota. Informative Sample-Aware Proxy for Deep Metric Learning, ACM MM Asia 2022, Dec. 2022.
• Hiroaki Igarashi, Kenichi Yoneji, Kohta Ishikawa, Rei Kawakami, Teppei Suzuki, Shingo Yashima, Ikuro Sato. Multi-task Curriculum Learning based on Gradient Similarity, The 33rd British Machine Vision Conference, Proc. BMVC 2022, Nov. 2022.  公式リンク  
  
• Hiroki Naganuma, Kartik Ahuja, Ioannis Mitliagkas, Shiro Takagi, Tetsuya Motokawa, Rio Yokota, Kohta Ishikawa, Ikuro Sato. Empirical Study on Optimizer Selection for Out-of-Distribution Generalization, NeurIPS 2022 Workshop on Distribution Shift, Proc. NeurIPS 2022, Nov. 2022.  公式リンク  
  
• Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda. Implicit Neural Representations for Variable Length Human Motion Generation, European Conference on Computer Vision 2022, Proc. European Conference on Computer Vision (ECCV), Lecture Notes in Computer Science, Springer, Cham, Vol. 13677, pp. 356–372, Oct. 2022.  公式リンク  
  
• Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami. PoF: Post-Training of Feature Extractor for Improving Generalization, International Conference on Machine Learning (ICML), International Conference on Machine Learning (ICML), International Conference on Machine Learning (ICML), June 2022.
• Shingo Yashima, Teppei Suzuki, Kohta Ishikawa, Ikuro Sato, Rei Kawakami. Feature Space Particle Inference for Neural Network Ensembles, ICML2022, Proc. The Thirty-ninth International Conference on Machine Learning, June 2022.  公式リンク  
  
• Keita Takayama, Ikuro Sato, Teppei Suzuki, Rei Kawakami, Kuniaki Uto, Koichi Shinoda. Smooth Transfer Learning for Source-to-Target Generalization, NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications, Proc. NeurIPS 2021 Workshop on Distribution Shifts: Connecting Methods and Applications, Dec. 2021.  公式リンク  
  
• Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato. Disentangling Latent Groups of Factors, 2021 IEEE International Conference on Image Processing, Proc. 2021 IEEE International Conference on Image Processing (ICIP), IEEE, Sept. 2021.  公式リンク  
  
• Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Teppei Suzuki, Masayuki Tanaka. Does end-to-end trained deep model always perform better than non-end-to-end counterpart?, Image Processing: Algorithms and Systems XIX, Electronic Imaging, Jan. 2021.
• Teppei Suzuki, Ikuro Sato. Adversarial Transformations for Semi-Supervised Learning., AAAI, pp. 5916-5923, June 2020.
• Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Tatsuya Harada. Generating easy-to-understand referring expressions for target identifications, Proceedings of the IEEE International Conference on Computer Vision, pp. 5794-5803, Oct. 2019.
• Ikuro Sato, Guoqing Liu, Kohta Ishikawa, Masayuki Tanaka. Breaking Inter-Layer Co-Adaptation by Classifier Anonymization, Proceedings of the 36th International Conference on Machine Learning, No. 97, pp. 5619-5627, June 2019.
• Tepei Suzuki, Ikuro Sato. A New Way of Estimating Distances to Foregoing Vehicles from a Monocular Camera with Error Modeling, 2019 IEEE Intelligent Vehicles Symposium (IV), pp. 2208-2214, June 2019.
• Ikuro Sato, Liu Guoqing. Learning-Based Multiple-Path Prediction for Early Warning, 2018 IEEE Intelligent Vehicles Symposium (IV), pp. 916-921, June 2018.
• Ikuro Sato, Ryo Fujisaki, Yosuke Oyama, Akihiro Nomura, Satoshi Matsuoka. Asynchronous, data-parallel deep convolutional neural network training with linear prediction model for parameter transition, The 24th International Conference On Neural Information Processing (ICONIP 2017), International Conference on Neural Information Processing, volume 10635, pp. 305-314, Nov. 2017.
• Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi. Binary-decomposed DCNN for accelerating computation and compressing model without retraining, Proceedings of the IEEE International Conference on Computer Vision Workshops, pp. 1095-1102, Oct. 2017.
• Yusuke Sekikawa, Koichiro Suzuki, Yuichi Yoshida, Kosuke Hara, Ikuro Sato. Fast Eigen Matching., BMVC, Sept. 2016.
• Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi, Takayoshi Yamashita. Asymmetric feature representation for object recognition in client server system, Asian Conference on Computer Vision, pp. 598-612, Nov. 2014.
• Mitsuru Ambai, Ikuro Sato. SPADE: scalar product accelerator by integer decomposition for object detection, European Conference on Computer Vision, pp. 267-281, Sept. 2014.
• Ikuro Sato, Chiharu Yamano, Hirohiko Yanagawa. Crossing obstacle detection with a vehicle-mounted camera, 2011 IEEE Intelligent Vehicles Symposium (IV), pp. 60-65, June 2011.

国内会議発表 (査読有り)

• 冨田真央, 佐藤育郎, 川上玲, 井上中順, 池畑諭, 田中正行. 深層ネットワークのランダム層選択による転移学習, 第27回画像の認識・理解シンポジウム（MIRU2024）, 第27回画像の認識・理解シンポジウム（MIRU2024）, IS-2-074, Aug. 2024.
• 山田陵太, 佐藤育郎, 田中正行, 井上中順, 川上玲. 深層モデルの汎化性能改善を目的とした特徴抽出器の事後学習, 第25回画像の認識・理解シンポジウム (MIRU2022), 第25回画像の認識・理解シンポジウム (MIRU2022), pp. OL2A-2-1-8, July 2022.

国際会議発表 (査読なし・不明)

• Ikuro Sato, Hideki Niihara. Beyond pedestrian detection: Deep neural networks level-up automotive safety, GPU Technology Conference, Mar. 2014.

国内会議発表 (査読なし・不明)

• Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami. PoF: Post-Training of Feature Extractor for Improving Generalization, FIT2023 第22会情報科学技術フォーラム、トップコンファレンスセッション, FIT2023 第22会情報科学技術フォーラム、トップコンファレンスセッション, Sept. 2023.  公式リンク  
  
• Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda. Implicit neural representations for variable length human motion generation, 第22回情報科学技術フォーラム（FIT2023）, Sept. 2023.  公式リンク  公式リンク  
  
• Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue. Learning with Partial Forgetting in Modern Hopfield Networks, FIT2023 第22会情報科学技術フォーラム、トップコンファレンスセッション, FIT2023 第22会情報科学技術フォーラム、トップコンファレンスセッション, Sept. 2023.  公式リンク  
  
• 澁谷 辰吉, 井上中順, 川上 玲, 佐藤育郎. 二値重み空間でのBinary Neural Networksの学習, 画像の認識・理解シンポジウムMIRU2023, MIRU2023 Extended Abstract集, 一般社団法人情報処理学会, July 2023.
• 磯部 凌, 川上 玲, 佐藤 育郎. 回帰器と生成器の協調による視線角度推論, 画像の認識・理解シンポジウムMIRU2023, MIRU2023 Extended Abstract集, 一般社団法人情報処理学会, July 2023.
• 加太 将弘, 吉橋 亮太, 川上 玲, 池畑 諭, 佐藤 育郎. 対照学習に基づく Mixture of Experts の経路表現学習, 画像の認識・理解シンポジウムMIRU2023, MIRU2023 Extended Abstract集, 一般社団法人情報処理学会, July 2023.
• 栗岡 保, 鈴木 哲平, 川上 玲, 佐藤 育郎. Teach the way to deform:教師モデルが持つ不変性の転移, 画像の認識・理解シンポジウムMIRU2023, MIRU2023 Extended Abstract集, 一般社団法人情報処理学会, July 2023.
• J.R. Liang, S. Gongyo, M. Ambai, R. Kawakami, I. Sato. Learning Non-Uniform Step-Sizes for Neural Network Quantization, Seventh International Workshop on Symbolic-Neural Learning (SNL2023), Proc.SNL2023, June 2023.
• Masahiro Kada,  Ryota Yoshihashi,  Rei Kawakami, Satoshi Ikehata, Ikuro Sato. Path Representation Learning of Mixture of Experts Based on Contrastive Learning, Seventh International Workshop on Symbolic-Neural Learning (SNL2023), Proc. SNL2023, June 2023.
• 緒方貴紀, 田中正行, 佐藤育郎. 輝度特徴と色特徴の混合率の変化に対する画像分類の整合性評価, 第25回情報論的学習理論ワークショップ（IBIS2022）, 第25回情報論的学習理論ワークショップ（IBIS2022）, Nov. 2022.
• Aoyu Li, Ikuro Sato, 石川康太, Rei Kawakami, Rio Yokota. Informative Sample-Aware Proxy for Deep Metric Learning, 第25回 画像の認識・理解シンポジウム (MIRU2022), MIRUブックレット, July 2022.
• Toshihiro Ota, 佐藤 育郎, 川上 玲, 田中 正行, 井上 中順. Learning with Partial Forgetting in Modern Hopfield Networks, 第25回画像の認識・理解シンポジウム (MIRU2022), 第25回画像の認識・理解シンポジウム (MIRU2022), July 2022.
• Jinrong. R. Liang, Shinya Gongyo, Mitsuru Ambai, Rei Kawakami, Ikuro Sato. Learning of Non-Uniform Step-Sizes for Neural Network Quantization, 第25回 画像の認識・理解シンポジウム (MIRU2022), July 2022.
• 栗岡保, 鈴木哲平, 川上玲, 佐藤育郎. 複数教師モデルを用いたデータ拡張最適化手法の検討, 第25回 画像の認識・理解シンポジウム (MIRU2022), MIRUブックレット, July 2022.
• 澁谷辰吉, 佐藤育郎, 川上玲, 井上中順. ランダム行列による固定逆伝播ネットワークを用いた Target Propagation の改良, 第25回 画像の認識・理解シンポジウム (MIRU2022), MIRUブックレット, July 2022.
• 高橋那弥, 八嶋晋吾, 石川康太, 佐藤育郎, 横田理央. 走行動画の大規模自己教師あり学習の検討と計画, 第25回 画像の認識・理解シンポジウム (MIRU2022), MIRUブックレット, July 2022.
• Wenru Zheng, Rei Kawakami, Ikuro Sato, Ryota Yoshihashi, Asako Kanezaki. Event Recognition by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array, 第25回 画像の認識・理解シンポジウム (MIRU2022), MIRUブックレット, July 2022.
• 北山翼, 川上玲, 佐藤育郎, 吉橋亮太, 金崎朝子. 球面畳み込みの時間軸拡張による全天球映像からの行動種別の領域分割, 第25回 画像の認識・理解シンポジウム (MIRU2022), MIRUブックレット, July 2022.
• CHEN Mark, 川上玲, 佐藤育郎, 苗村健. 生成的特徴量の角度依存性に着目した 視点角度推定の精度向上, CVIM2022, 情報処理学会, Vol. 2022, Jan. 2022.  公式リンク  
  

特許など

• 佐藤育郎, 太田　敏博, 川上玲, 井上中順, 田中正行, 石川　康太　. 情報処理装置、情報処理方法およびプログラム. 特許. 公開. 国立大学法人東京工業大学, 株式会社デンソーアイティーラボラトリ. 2022/09/16. 特願2022-148317. 2024/03/29. 特開2024-043241. 2024.
• 佐藤育郎, CERVANTESBAQUE Pablo Alberto, 篠田浩一, 関川　雄介. 情報処理装置、情報処理方法およびプログラム. 特許. 公開. 国立大学法人東京工業大学, 株式会社デンソーアイティーラボラトリ. 2021/05/14. 特願2021-082514. 2022/11/25. 特開2022-175810. 2022.

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