Journal Paper

• Hirotaka Ieki, Kaoru Ito, Mike Saji, Rei Kawakami, Yuji Nagatomo, Kaori Takada, Toshiya Kariyasu, Haruhiko Machida, Satoshi Koyama, Hiroki Yoshida, Ryo Kurosawa, Hiroshi Matsunaga, Kazuo Miyazawa, Kouichi Ozaki, Yoshihiro Onouchi, Susumu Katsushika, Ryo Matsuoka, Hiroki Shinohara, Toshihiro Yamaguchi, Satoshi Kodera, Yasutomi Higashikuni, Katsuhito Fujiu, Hiroshi Akazawa, Nobuo Iguchi, Mitsuaki Isobe, Tsutomu Yoshikawa, Issei Komuro. Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis, Communications Medicine, Vol. 2, No. 159, pp. 1-12, Dec. 2022.

International Conference (Reviewed)

• 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.  Official location  
• 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.
• Y Honda, R Kawakami, R Yoshihashi, K Kato, T Naemura. Pass Receiver Prediction in Soccer using Video and Players’ Trajectories, 9th International Workshop on Computer Vision in Sports, Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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.  Official location  

Domestic Conference (Reviewed)

• Ryota Yamada, Ikuro Sato, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami. 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.

Domestic Conference (Not reviewed / Unknown)

• RYU TADOKORO, HIROKATSU KATAOKA, REI KAWAKAMI, RIO YOKOTA, NAKAMASA INOUE. 蒸留画像による事前学習効果についての検討, ViEW ビジョン技術の実利用ワークショップ, 講演論文集, Dec. 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.
• Tamotsu Kurioka, 鈴木哲平, Rei Kawakami, Ikuro Sato. 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.
• 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.
• Tsubasa Kitayama, Rei Kawakami, Ikuro Sato, 吉橋亮太, Asako Kanezaki. 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.
• Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue. 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.
• Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue. 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.
• 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.
• CHEN Mark, Rei Kawakami, Ikuro Sato, 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.  Official location  

[ Save as BibTeX ]    [ Paper, Presentations, Books, Others, Degrees: Save as CSV ]    [ Patents: Save as CSV ]