| Continuous 3D label stereo matching using local expansion moves T Taniai, Y Matsushita, Y Sato, T Naemura IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 40 …, 2018 | 184 | 2018 |
| Graph cut based continuous stereo matching using locally shared labels T Taniai, Y Matsushita, T Naemura 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1613 …, 2014 | 127 | 2014 |
| Joint recovery of dense correspondence and cosegmentation in two images T Taniai, SN Sinha, Y Sato 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4246 …, 2016 | 126 | 2016 |
| Neural inverse rendering for general reflectance photometric stereo T Taniai, T Maehara International Conference on Machine Learning (ICML), 4864-4873, 2018 | 116 | 2018 |
| Path planning using neural A* search R Yonetani, T Taniai, M Barekatain, M Nishimura, A Kanezaki International Conference on Machine Learning, 12029-12039, 2021 | 104 | 2021 |
| Fast multi-frame stereo scene flow with motion segmentation T Taniai, SN Sinha, Y Sato 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6891 …, 2017 | 51 | 2017 |
| Semi-global stereo matching with surface orientation priors D Scharstein, T Taniai, SN Sinha 2017 International Conference on 3D Vision (3DV), 215-224, 2017 | 39 | 2017 |
| Self-supervised learning of materials concepts from crystal structures via deep neural networks Y Suzuki, T Taniai, K Saito, Y Ushiku, K Ono Machine Learning: Science and Technology 3 (4), 045034, 2022 | 16 | 2022 |
| Superdifferential cuts for binary energies T Taniai, Y Matsushita, T Naemura 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2030 …, 2015 | 16 | 2015 |
| Risk-aware path planning via probabilistic fusion of traversability prediction for planetary rovers on heterogeneous terrains M Endo, T Taniai, R Yonetani, G Ishigami 2023 IEEE international conference on robotics and automation (ICRA), 11852 …, 2023 | 12 | 2023 |
| Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding T Taniai, R Igarashi, Y Suzuki, N Chiba, K Saito, Y Ushiku, K Ono The Twelfth International Conference on Learning Representations (ICLR 2024), 2024 | 7 | 2024 |
| Reinforcement learning model for labeling spatial relationships between images T Taniai US Patent 11,222,237, 2022 | 5 | 2022 |
| Image segmentation using dual distribution matching T Taniai, VQ Pham, K Takahashi, T Naemura 2012 British Machine Vision Conference (BMVC), 74.1-74.11, 2012 | 5 | 2012 |
| Neural structure fields with application to crystal structure autoencoders N Chiba, Y Suzuki, T Taniai, R Igarashi, Y Ushiku, K Saito, K Ono Communications Materials 4 (1), 106, 2023 | 3 | 2023 |
| A transformer model for symbolic regression towards scientific discovery F Lalande, Y Matsubara, N Chiba, T Taniai, R Igarashi, Y Ushiku arXiv preprint arXiv:2312.04070, 2023 | 2 | 2023 |
| Quasistatic contact-rich manipulation via linear complementarity quadratic programming S Katayarna, T Taniai, K Tanaka 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 2 | 2022 |
| Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation M Endo, T Taniai, G Ishigami arXiv preprint arXiv:2409.00641, 2024 | 1 | 2024 |
| 3 次元画像計測におけるステレオマッチングの基礎から最先端まで 谷合竜典 Omron technics: オムロングルプ技術論文誌 53 (2), 246-260, 2021 | 1 | 2021 |
| Model generation method, data presentation method, data generation method, inference method, model generation device, data presentation device, data generation device, and … T Taniai, Y Ushiku, N Chiba, Y Suzuki, K Ono US Patent App. 18/686,602, 2024 | | 2024 |
| Operation prediction apparatus, model training method for same, and operation prediction method Y Ijiri, R Yonetani, T Taniai US Patent App. 18/002,698, 2023 | | 2023 |
Yoichi SatoProfessor, Institute of Industrial Science, The University of Tokyo在 iis.u-tokyo.ac.jp 的电子邮件经过验证
