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 | 82 | 2020 |
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 | 22 | 2022 |
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 | 14 | 2022 |
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 | 9 | 2021 |
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 | 5 | 2021 |
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 | 4 | 2022 |
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 | 2 | 2023 |
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 | 1 | 2023 |
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 | 1 | 2021 |
Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation R Tadokoro, R Yamada, K Nakashima, R Nakamura, H Kataoka | | 2023 |
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 | | |