A study on damping control method for three-phase-to-single-phase matrix converter system with neutral line. - Qian Wang; Ryosuke Yamada; Naoki Yamamura; Muneaki Ishida (IECON, 2015)

Formula-driven Supervised Learning with Recursive Tiling Patterns. - Hirokatsu Kataoka; Asato Matsumoto; Ryosuke Yamada; Yutaka Satoh; Eisuke Yamagata; Nakamasa Inoue (ICCVW, 2021)

MV-FractalDB: Formula-driven Supervised Learning for Multi-view Image Recognition. - Ryosuke Yamada; Ryo Takahashi; Ryota Suzuki 006; Akio Nakamura; Yusuke Yoshiyasu; Ryusuke Sagawa; Hirokatsu Kataoka (IROS, 2021)

Channel Characteristics and Link Budget Analysis for 10-60MHz Band Implant Communication. - Md Ismail Haque; Ryosuke Yamada; Jingjing Shi; Jianqing Wang; Daisuke Anzai (IEICE Trans. Commun., 2021)

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)

Point Cloud Pre-training with Natural 3D Structures. - Ryosuke Yamada; Hirokatsu Kataoka; Naoya Chiba; Yukiyasu Domae; Tetsuya Ogata (CVPR, 2022)

Pre-Training Without Natural Images. - Hirokatsu Kataoka; Kazushige Okayasu; Asato Matsumoto; Eisuke Yamagata; Ryosuke Yamada; Nakamasa Inoue; Akio Nakamura; Yutaka Satoh (Int. J. Comput. Vis., 2022)

Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation. - Ryu Tadokoro; Ryosuke Yamada; Kodai Nakashima; Ryo Nakamura; Hirokatsu Kataoka (BMVC, 2023)

Pre-training Auto-generated Volumetric Shapes for 3D Medical Image Segmentation. - Ryu Tadokoro; Ryosuke Yamada; Hirokatsu Kataoka (CVPR Workshops, 2023)

Exploring the Potential of Neural Dataset Search. - Ryosuke Yamada; Risa Shinoda; Hirokatsu Kataoka (CVPR Workshops, 2023)

3D Change Localization and Captioning from Dynamic Scans of Indoor Scenes. - Yue Qiu 001; Shintaro Yamamoto; Ryosuke Yamada; Ryota Suzuki 006; Hirokatsu Kataoka; Kenji Iwata; Yutaka Satoh (WACV, 2023)

Scaling Backwards: Minimal Synthetic Pre-Training? - Ryo Nakamura; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka (ECCV (15), 2024)

Rethinking Image Super-Resolution from Training Data Perspectives. - Go Ohtani; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka; Yoshimitsu Aoki (ECCV (17), 2024)

Formula-Supervised Visual-Geometric Pre-training. - Ryosuke Yamada; Kensho Hara; Hirokatsu Kataoka; Koshi Makihara; Nakamasa Inoue; Rio Yokota; Yutaka Satoh (ECCV (22), 2024)

Masked Structural Point Cloud Modeling to Learning 3D Representation. - Ryosuke Yamada; Ryu Tadokoro; Yue Qiu 001; Hirokatsu Kataoka; Yutaka Satoh (IEEE Access, 2024)

Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding. - Kohei Torimi; Ryosuke Yamada; Daichi Otsuka; Kensho Hara; Yuki M. Asano; Hirokatsu Kataoka; Yoshimitsu Aoki (CoRR, 2025)

Pre-training with 3D Synthetic Data: Learning 3D Point Cloud Instance Segmentation from 3D Synthetic Scenes. - Daichi Otsuka; Shinichi Mae; Ryosuke Yamada; Hirokatsu Kataoka (CoRR, 2025)

Industrial Synthetic Segment Pre-training. - Shinichi Mae; Ryosuke Yamada; Hirokatsu Kataoka (CoRR, 2025)