フォロー
Ryosuke Yamada
Ryosuke Yamada
University of Tsukuba
確認したメール アドレス: aist.go.jp
タイトル
引用先
引用先
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
1312020
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
382022
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
342022
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
162021
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
82022
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
72023
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
72021
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
52024
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
42023
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
32022
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
Formula-Supervised Visual-Geometric Pre-training
R Yamada, K Hara, H Kataoka, K Makihara, N Inoue, R Yokota, Y Satoh
European Conference on Computer Vision, 57-74, 2025
2025
Rethinking Image Super-Resolution from Training Data Perspectives
G Ohtani, R Tadokoro, R Yamada, YM Asano, I Laina, C Rupprecht, ...
European Conference on Computer Vision, 19-36, 2025
2025
Masked Structural Point Cloud Modeling to Learning 3D Representation
R Yamada, R Tadokoro, Y Qiu, H Kataoka, Y Satoh
IEEE Access, 2024
2024
Scaling Backwards: Minimal Synthetic Pre-training?
R Nakamura, R Tadokoro, R Yamada, YM Asano, I Laina, C Rupprecht, ...
arXiv preprint arXiv:2408.00677, 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
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