| 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 | 43 | 2022 |
| Rethinking symbolic regression datasets and benchmarks for scientific discovery Y Matsubara, N Chiba, R Igarashi, Y Ushiku arXiv preprint arXiv:2206.10540, 2022 | 26 | 2022 |
| Feedback projection for 3D measurements under complex lighting conditions N Chiba, S Arai, K Hashimoto 2017 American Control Conference (ACC), 4649-4656, 2017 | 20 | 2017 |
| 3D measurement by estimating homogeneous light transport (HLT) matrix N Chiba, K Hashimoto 2017 IEEE International Conference on Mechatronics and Automation (ICMA …, 2017 | 17 | 2017 |
| Ultra-fast multi-scale shape estimation of light transport matrix for complex light reflection objects N Chiba, K Hashimoto 2018 IEEE International Conference on Robotics and Automation (ICRA), 6147-6152, 2018 | 16 | 2018 |
| Crystalformer: infinitely connected attention for periodic structure encoding T Taniai, R Igarashi, Y Suzuki, N Chiba, K Saito, Y Ushiku, K Ono arXiv preprint arXiv:2403.11686, 2024 | 10 | 2024 |
| SRSD: Rethinking datasets of symbolic regression for scientific discovery Y Matsubara, N Chiba, R Igarashi, Y Ushiku NeurIPS 2022 AI for Science: Progress and Promises, 2022 | 8 | 2022 |
| Sparse Estimation of Light Transport Matrix under Saturated Condition. N Chiba, K Hashimoto BMVC, 68, 2018 | 4 | 2018 |
| NeuralLabeling: A versatile toolset for labeling vision datasets using Neural Radiance Fields F Erich, N Chiba, A Mustafa, Y Yoshiyasu, N Ando, R Hanai, Y Domae 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | 3 | 2024 |
| 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 | 3 | 2023 |
| Homogeneous light transport matrix estimation based 3D shape measurement N Chiba, K Hashimoto International Journal of Mechatronics and Automation 6 (2-3), 63-70, 2018 | 3 | 2018 |
| Recognition of human relationships using interactions and gazes through video analysis in surveillance footage M Tanonwong, N Chiba, K Hashimoto 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1-7, 2023 | 2 | 2023 |
| Weavenet for approximating two-sided matching problems S Sone, J Ma, A Hashimoto, N Chiba, Y Ushiku arXiv preprint arXiv:2310.12515, 2023 | 2 | 2023 |
| LT 行列行分解推定による三次元計測 千葉直也， 橋本浩一 計測自動制御学会論文集 55 (4), 294-304, 2019 | 2 | 2019 |
| 3D Keypoint 対応付けの高精度化に関する検討 荒井翔悟， 福地伸晃， 千葉直也， 橋本浩一 ロボティクス・メカトロニクス講演会講演概要集 2015, 1A1-H03, 2015 | 2 | 2015 |
| Learning 3d point cloud registration as a single optimization problem R Yanagi, A Hashimoto, N Chiba, S Sone, J Ma, Y Ushiku Proceedings of the Asian Conference on Computer Vision, 3292-3309, 2024 | 1 | 2024 |
| Multi-Timestep-Ahead Prediction with Mixture of Experts for Embodied Question Answering K Suzuki, Y Kamiwano, N Chiba, H Mori, T Ogata International Conference on Artificial Neural Networks, 243-255, 2023 | 1 | 2023 |
| Edge-selective feature weaving for point cloud matching R Yanagi, A Hashimoto, S Sone, N Chiba, J Ma, Y Ushiku arXiv preprint arXiv:2202.02149, 2022 | 1 | 2022 |
| Fast ADMM ℓ1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition* N Chiba, A Imakura, K Hashimoto 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), 14-21, 2019 | 1 | 2019 |
Koichi HashimotoTohoku UniversityZweryfikowany adres z tohoku.ac.jp