Publications

Journal

1. 山田 亮佑, 岡安 寿繁, 中村 明生, 片岡 裕雄, “フラクタル幾何学に基づく大規模事前学習データベース自動構築と三次元物体認識への適用”, 精密工学会誌, vol.87, no.4, pp.374-379, April 2021.

2. 山田 亮佑, 鈴木 亮太, 中村 明生, 片岡 裕雄, “フラクタル幾何学に基づいた多視点画像自動生成によるデータセット拡張手法”, 精密工学会誌, vol.87, no.12, pp.1013-1019, December 2021.

3. 美濃口 宗尊, 渡部 海, 山田 亮佑, 片岡 裕雄, 中村 明生, “大規模服装画像データベースを利用した弱教師あり学習によるファッションスタイル識別”, 精密工学会誌, vol.87, no.1, pp.92-98, January 2021.

4. Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh, “Pre-training without Natural Images,” International Journal of Computer Vision (IJCV), February 2022. (Impact Factor: 13.369)

International Conference

1. Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh, "Formula-Supervised Visual-Geometric Pre-training," European Conference on Computer Vision (ECCV), September 2024. (Acceptance rate: ***%; 3rd place in Computer Vision at Google Scholar Metrics)

2. Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, "Rethinking Image Super Resolution from Training Data Perspectives," European Conference on Computer Vision (ECCV), September 2024. (Acceptance rate: ***%; 3rd place in Computer Vision at Google Scholar Metrics)

3. Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, "Scaling Backwards: Minimal Synthetic Pre-training?" European Conference on Computer Vision (ECCV), September 2024. (Acceptance rate: ***%; 3rd place in Computer Vision at Google Scholar Metrics)

4. Ryosuke Yamada, Ryo Takahashi, Go Ohtani, Erika Mori, Hirokatsu Kataoka, Yoshimitsu Aoki, "Is ImageNet Pre-training Fair in Image Recognition?" Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, June 2024. 

5. Ryu Tadokoro, Ryosuke Yamada, Kodai Nakashima, Ryo Nakamura, Hirokatsu Kataoka, "Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation," British Machine Vision Conference (BMVC), November 2023. (Best Industry Paper Award Nomination)

6. Ryosuke Yamada, Shinoda Risa, Hirokatsu Kataoka, "Exploring the Potential of Neural Dataset Search," Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, June 2023.

7. Ryu Tadokoro, Ryosuke Yamada, Hirokatsu Kataoka, "Pre-training Auto-generated Volumetric Shapes for 3D Medical Image Segmentation," Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, June 2023.

8. Ryosuke Yamada, Ryu Tadokoro, Yue Qiu, Hirokatsu Kataoka, Yutaka Satoh, "Structural Point Cloud Data Recovery to Learning 3D Feature Representation," International Workshop on Frontiers of Computer Vision (IW-FCV), February 2023.  

9. Ryosuke Yamada, Hirokatsu Kataoka, Naoya Chiba, Yukiyasu Domae, Tetsuya Ogata, “Point Cloud Pre-training by Natural 3D Structures,” Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. (Acceptance rate: 25.3%; 1st place in Computer Vision at Google Scholar Metrics)

10. Ryosuke Yamada, Ryo Takahashi, Ryota Suzuki, Akio Nakamura, Yusuke Yoshiyasu, Ryusuke Sagawa, Hirokatsu Kataoka, “MV-FractalDB: Formula-driven Supervised Learning for Multi-view Image Recognition,” International Conference on Intelligent Robots and System (IROS), September 2021. (Acceptance rate: 45.0%; 4th place in Robotics at Google Scholar Metrics)

11. Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota, “Replacing Labeled Real-Image Datasets With Auto-Generated Contours,” Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. (Acceptance rate: 25.3%; 1st place in Computer Vision at Google Scholar Metrics)

12. Shunsuke Kogure, Kai Watabe, Ryosuke Yamada, Toshimitu Aoki, Akio Nakamura, Hirokatsu Kataoka, “Self-trained Robust Person Detection for Vulnerable Road Users,” Conference on Computer Vision and Pattern Recognition (CVPR) Beyond Fairness: Towards a Just, Equitable, and Accountable Computer Vision Workshop, June 2021. 

13. Hirokatsu Kataoka, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Yutaka Satoh, “Formula-driven Supervised Learning with Recursive Tiling Patterns,” International Conference on Computer Vision (ICCV) Human-centric Trustworthy Computer Vision: From Research to Applications Workshop, October 2021. 

14. Shunsuke Kogure, Kai Watabe, Ryosuke Yamada, Toshimitu Aoki, Akio Nakamura, Hirokatsu Kataoka, “Age Shouldn't Matter: Toward More Accurate Pedestrian Detection via Self-Training,” AAAI Conference on Artificial Intelligence (AAAI) Artificial Intelligence with Biased or Scarce Data, January 2022

15. Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh, “Pre-training without Natural Images,” Asian Conference on Computer Vision (ACCV), November 2020. (Best Paper Honorable Mention Award; Oral Presentation; 3 Strong Accepts)

Invited Talk

• 山田亮佑, “CVPR2022 報告 ~コンピュータビジョン分野の最新動向~”, 映像情報メディア学会, July 2022.

• Ryosuke Yamada, Hirokatsu Kataoka, Naoya Chiba, Yukiyasu Domae, Tetsuya Ogata, “Point Cloud Pre-training by Natural 3D Structures,” 画像の認識・理解シンポジウム (MIRU), July 2022.

• 山田 亮佑, “CVPR速報”, 日本ディープラーニング協会主催 CVPR 2021 技術報告会, July 2021.

• 山田 亮佑, 片岡 裕雄, “コンピュータビジョンの観点から見たAIの公平性”, 画像センシングシンポジウム (SSII), June 2020.

Report

1. 山田 亮佑, 鈴木 亮太, 中村 明生, 片岡 裕雄, “Multi-view Fractal DataBase: フラクタル幾何学に基づく多視点画像データセット生成”, 画像ラボ, vol.30, no.3, pp.63-69, January 2022. 

2. 片岡 裕雄, 原 健翔, 鈴木 亮太, 福原 吉博, 綱島 秀樹, 中嶋 航大, 中村 凌, 山田 亮佑, 渡部 海, “会議報告：IEEE/CVF International Conference on Computer Vision and Pattern Recognition（CVPR 2021）”, 人工知能学会誌, vol.36 no.6, pp.798-804, November 2021.

3. 片岡 裕雄, 山田 亮佑, 松本 晟人, “自然の形成原理によるCNNの学習”, 日本医用画像工学会誌, vol.39 no.3 pp.117-123, June 2021. 

Slide

1. 高島 空良, 中村 凌, 山田 亮佑, 片岡 裕雄, “Foundation models” [Link]

2. 大西 達也, 田所 龍, 中村 凌, 山田 亮佑, 速水 亮, 中嶋 航大, 片岡 裕雄, “数式ドリブン教師あり学習” [Link]

3. 小暮 駿介, 高橋 遼, 渡部 海, 山田 亮佑, 片岡 裕雄, “効率的学習” [Link]

4. 片岡 裕雄, 山田 亮佑, 小暮 駿介, 西村 和也, 古澤 嘉久, 山縣 英介, 高橋 遼, 中村 凌, 中原 龍一, 中嶋 航大, 内田 郁真, 西山 翔大, “High-impact Papers in Computer Vision” [Link]

5. 片岡 裕雄, 松本 晟人, 山縣 英介, 山田 亮佑, 高橋 遼, 升山 義紀, 鏡川 悠介, 伊藤 千紘, 神林 優太, 河崎 凌, 笠井 誠斗, 鈴木 智之,  “自己教師学習” [Link]

6. 山田 亮佑, 美濃口 宗尊, 片岡 裕雄,  “コンピュータビジョンの観点から見たAIの公平性” [Link]

7. 美濃口 宗尊, 山田 亮佑, 片岡 裕雄,  “Brain Storming in xpaper.challenge” [Link]