Ryosuke Yamada

According to our database, Ryosuke Yamada authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Masked Structural Point Cloud Modeling to Learning 3D Representation.

Ryosuke Yamada, Ryu Tadokoro, Yue Qiu, Hirokatsu Kataoka, Yutaka Satoh

IEEE Access, 2024

Formula-Supervised Visual-Geometric Pre-training.

Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

Scaling Backwards: Minimal Synthetic Pre-Training?

Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

3D Change Localization and Captioning from Dynamic Scans of Indoor Scenes.

Yue Qiu, Shintaro Yamamoto, Ryosuke Yamada, Ryota Suzuki, Hirokatsu Kataoka, Kenji Iwata, Yutaka Satoh

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Exploring the Potential of Neural Dataset Search.

Ryosuke Yamada, Risa Shinoda, Hirokatsu Kataoka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Pre-training Auto-generated Volumetric Shapes for 3D Medical Image Segmentation.

Ryu Tadokoro, Ryosuke Yamada, Hirokatsu Kataoka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation.

Ryu Tadokoro, Ryosuke Yamada, Kodai Nakashima, Ryo Nakamura, Hirokatsu Kataoka

Proceedings of the 34th British Machine Vision Conference 2023, 2023

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

Point Cloud Pre-training with Natural 3D Structures.

Ryosuke Yamada, Hirokatsu Kataoka, Naoya Chiba, Yukiyasu Domae, Tetsuya Ogata

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Formula-driven Supervised Learning with Recursive Tiling Patterns.

Hirokatsu Kataoka, Asato Matsumoto, Ryosuke Yamada, Yutaka Satoh, Eisuke Yamagata, Nakamasa Inoue

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2015

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

Proceedings of the IECON 2015, 2015