| Jerk-aware video acceleration magnification S Takeda, K Okami, D Mikami, M Isogai, H Kimata Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 35 | 2018 |
| Video magnification in the wild using fractional anisotropy in temporal distribution S Takeda, Y Akagi, K Okami, M Isogai, H Kimata Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 28 | 2019 |
| Deep feature compression with spatio-temporal arranging for collaborative intelligence S Suzuki, M Takagi, S Takeda, R Tanida, H Kimata 2020 IEEE International Conference on Image Processing (ICIP), 3099-3103, 2020 | 12 | 2020 |
| Deep feature compression using spatio-temporal arrangement toward collaborative intelligent world S Suzuki, S Takeda, M Takagi, R Tanida, H Kimata, H Shouno IEEE Transactions on Circuits and Systems for Video Technology 32 (6), 3934-3946, 2021 | 11 | 2021 |
| Image enhanced rotation prediction for self-supervised learning S Yamaguchi, S Kanai, T Shioda, S Takeda 2021 IEEE International Conference on Image Processing (ICIP), 489-493, 2021 | 10 | 2021 |
| Bilateral video magnification filter S Takeda, K Niwa, M Isogawa, S Shimizu, K Okami, Y Aono Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 9 | 2022 |
| Multiple pretext-task for self-supervised learning via mixing multiple image transformations S Yamaguchi, S Kanai, T Shioda, S Takeda arXiv preprint arXiv:1912.11603, 2019 | 9 | 2019 |
| Local Riesz pyramid for faster phase-based video magnification S Takeda, M Isogai, S Shimizu, H Kimata IEICE TRANSACTIONS on Information and Systems 103 (10), 2036-2046, 2020 | 4 | 2020 |
| Action quality assessment with ignoring scene context T Nagai, S Takeda, M Matsumura, S Shimizu, S Yamamoto 2021 IEEE International Conference on Image Processing (ICIP), 1189-1193, 2021 | 3 | 2021 |
| Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff S Suzuki, S Yamaguchi, S Takeda, S Kanai, N Makishima, A Ando, ... 2023 IEEE/CVF International Conference on Computer Vision (ICCV), 4367-4378, 2023 | 2 | 2023 |
| Knowledge transferred fine-tuning for anti-aliased convolutional neural network in data-limited situation S Suzuki, S Takeda, R Tanida, H Kimata, H Shouno 2021 IEEE International Conference on Image Processing (ICIP), 864-868, 2021 | 2 | 2021 |
| Distorted image classification using neural activation pattern matching loss S Suzuki, S Takeda, R Tanida, Y Bandoh, H Shouno Neural Networks 167, 50-64, 2023 | 1 | 2023 |
| Differentiable Max-Directivity Beamforming Normalization for Independent Vector Analysis S Takeda, K Niwa, S Shimizu 2020 28th European Signal Processing Conference (EUSIPCO), 296-300, 2021 | 1 | 2021 |
| Optimal Transport with Cyclic Symmetry S Takeda, Y Akagi, N Marumo, K Niwa Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15211 …, 2024 | | 2024 |
| CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph K Niwa, N Ueda, H Sawada, A Fujino, S Takeda, G Zhang, WB Kleijn IEEE Transactions on Signal and Information Processing over Networks 9, 242-257, 2023 | | 2023 |
| Robust and Fast Eulerian Video Magnification for Practical Applications 武田翔一郎， タケダショウイチロウ | | 2021 |
| ビデオマグニフィケーションがユーザーの映像変化知覚と注視領域に与える影響の分析 武田翔一郎， 亀田明男， 磯貝愛， 木全英明 研究報告オーディオビジュアル複合情報処理 (AVM) 2019 (12), 1-6, 2019 | | 2019 |
| 局所リースピラミッドを用いた高速なビデオマグニフィケーション 武田翔一郎， 磯貝愛， 志水信哉， 木全英明 研究報告コンピュータグラフィックスとビジュアル情報学 (CG) 2019 (4), 1-6, 2019 | | 2019 |
| ビデオマグニフィケーションが体感品質に与える影響の分析 武田翔一郎， 亀田明男， 磯貝愛， 木全英明 研究報告オーディオビジュアル複合情報処理 (AVM) 2019 (9), 1-5, 2019 | | 2019 |
