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Ryosuke Yamada
Ryosuke Yamada
University of Tsukuba
Verified email at aist.go.jp
Title
Cited by
Cited by
Year
Pre-training without natural images
H Kataoka, K Okayasu, A Matsumoto, E Yamagata, R Yamada, N Inoue, ...
Proceedings of the Asian Conference on Computer Vision, 2020
892020
Point cloud pre-training with natural 3D structures
R Yamada, H Kataoka, N Chiba, Y Domae, T Ogata
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
252022
Replacing labeled real-image datasets with auto-generated contours
H Kataoka, R Hayamizu, R Yamada, K Nakashima, S Takashima, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
172022
Formula-driven supervised learning with recursive tiling patterns
H Kataoka, A Matsumoto, R Yamada, Y Satoh, E Yamagata, N Inoue
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
112021
MV-FractalDB: formula-driven supervised learning for multi-view image recognition
R Yamada, R Takahashi, R Suzuki, A Nakamura, Y Yoshiyasu, R Sagawa, ...
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
52021
Age should not matter: Towards more accurate pedestrian detection via self-training
S Kogure, K Watabe, R Yamada, Y Aoki, A Nakamura, H Kataoka
Computer Sciences & Mathematics Forum 3 (1), 11, 2022
42022
3D Change Localization and Captioning from Dynamic Scans of Indoor Scenes
Y Qiu, S Yamamoto, R Yamada, R Suzuki, H Kataoka, K Iwata, Y Satoh
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
32023
Pre-Training Auto-Generated Volumetric Shapes for 3D Medical Image Segmentation
R Tadokoro, R Yamada, H Kataoka
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
22023
Pre-Training Without Natural Images
K Hirokatsu, M Asato, Y Eisuke, Y Ryosuke, I Nakamasa, A Nakamura, ...
International Journal of Computer Vision 130 (4), 990-1007, 2022
22022
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
山田亮佑, 鈴木亮太, 中村明生, 片岡裕雄
精密工学会誌 87 (12), 1013-1019, 2021
12021
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation
R Tadokoro, R Yamada, K Nakashima, R Nakamura, H Kataoka
arXiv preprint arXiv:2401.03665, 2024
2024
Exploring the Potential of Neural Dataset Search
R Yamada, R Shinoda, H Kataoka
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2023
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
山田亮佑, 中村明生, 鈴木亮太, 片岡裕雄
画像ラボ/画像ラボ編集委員会 編 33 (1), 21-28, 2022
2022
会議報告: IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR 2021)
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, ...
人工知能 36 (6), 798-804, 2021
2021
自然の形成原理による CNN の学習
片岡裕雄, 山田亮佑, 松本晟人
Medical Imaging Technology 39 (3), 117-123, 2021
2021
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
山田亮佑, 岡安寿繁, 中村明生, 片岡裕雄
精密工学会誌 87 (4), 374-379, 2021
2021
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
美濃口宗尊, 渡部海, 山田亮佑, 片岡裕雄, 中村明生
精密工学会誌 87 (1), 92-98, 2021
2021
Point Cloud Pre-training with Natural 3D Structures–Supplementary Material–
R Yamada, H Kataoka, N Chiba, Y Domae, T Ogata
Structural Point Cloud Data Recovery to Learning 3D Feature Representation
R Yamada, YQ Ryu Tadokoro, H Kataoka, Y Satoh
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