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About Me
I am a research scientist at the Artificial Intelligence Research Center (AIRC), AIST. I am also a visiting postdoctoral researcher at the University of Technology Nuremberg (UTN), working with Yuki M. Asano, supported by the JSPS Overseas Research Fellowship.
Previously, I completed my Ph.D. in Systems and Information Engineering at the University of Tsukuba, under the supervision of Yutaka Satoh, where I also collaborated closely with Hirokatsu Kataoka. I received my undergraduate degree in Engineering from Tokyo Denki University, where I began my research career working with Akio Nakamura. A longer bio is here.
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News
⭐- 🧑🔬 2025.04: Started as a Research Scientist at AIST
- 🎓 2025.03: Earned Ph.D. at the University of Tsukuba
- 📄 2024.10: 3 papers accepted to ECCV 2024!
🏆 Awards 🏆
- 🎓 Dean's Award (Research Excellence), University of Tsukuba, 2025
- 🥇 Outstanding Reviewer, WACV 2025
- 🥇 Best Paper Award Nominates, BMVC 2023
- 🥇 Student Encouragement Award, MIRU 2023
- 🥇 AIST Best Paper Award, 2023
- 🎓 Yasujiro Niwa Outstanding Student Award, Tokyo Denki University, 2022
- 🥇 Best Paper Award, ViEW 2020
- 🥇 Best Paper Honorable Mention Award, ACCV 2020
Selected Papers (All Papers)
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Formula-Supervised Visual-Geometric Pre-training Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh ECCV 2024 [Paper] [Project] [Code] |
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Scaling Backwards: Minimal Synthetic Pretraining? Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka ECCV 2024 [Paper] [Code] |
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Rethinking Image Super-Resolution from Training Data Perspectives Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki ECCV 2024 [Paper] [Code] |
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Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation Ryu Tadokoro*, Ryosuke Yamada*, Kodai Nakashima, Ryo Nakamura, Hirokatsu Kataoka BMVC 2023 Best Paper Finalists [Paper] [Code] |
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Point Cloud Pre-training with Natural 3D Structures Ryosuke Yamada, Hirokatsu Kataoka, Naoya Chiba, Yasuyuki Domae, Tetsuya Ogata CVPR 2022 [Paper] [Project] [Code] |
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Replacing Labeled Real-Image Datasets With Auto-Generated Contours Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota CVPR 2022 [Paper] [Project] [Code] |
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MV-FractalDB: Formula-driven Supervised Learning for Multi-view Image Recognition Ryosuke Yamada, Ryo Takahashi, Ryota Suzuki, Akio Nakamura, Yusuke Yoshiyasu, Ryusuke Sagawa, Hirokatsu Kataoka IROS 2021 [Paper] [Project] [Code] |
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Pre-training without Natural Images Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh ACCV 2020 Best Paper Honorable Mention Award, IJCV [Paper (ACCV)] [Paper (IJCV)] [Project] [Code] |
Others
Organizer
- MIRU Mentersihp Program, MIRU 2024
- LIMIT Workshop, CVPR 2024
- LIMIT Workshop, ICCV 2023
- MIRU Young Researcher Program, MIRU 2023
- cvpaper.challenge Conference Summer, 2022
- cvpaper.challenge Conference Winter, 2021
Reviewer
- IROS 2022, ICPR 2022, IROS 2023, WACV 2024, CVPR 2024, WACV 2025, CVPR 2025, RA-L