| RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering S Iwase, X Liu, R Khirodkar, R Yokota, KM Kitani ICCV2021, 2021 | 57* | 2021 |
| Stereobj-1m: Large-scale stereo image dataset for 6d object pose estimation X Liu, S Iwase, KM Kitani ICCV2021, 2021 | 32 | 2021 |
| Embodied Scene-aware Human Pose Estimation Z Luo*, S Iwase*, Y Yuan, K Kitani NeurIPS2022, 2022 | 16 | 2022 |
| Epipolar-guided deep object matching for scene change detection K Doi, R Hamaguchi, S Iwase, R Yokota, Y Matsuo, K Sakurada arXiv preprint arXiv:2007.15540, 2020 | 9 | 2020 |
| KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation X Liu, S Iwase, KM Kitani IROS2021, 2021 | 8 | 2021 |
| Kinematics-guided reinforcement learning for object-aware 3d ego-pose estimation Z Luo, R Hachiuma, Y Yuan, S Iwase, KM Kitani arXiv preprint arXiv:2011.04837, 2020 | 4 | 2020 |
| RelightableHands: Efficient Neural Relighting of Articulated Hand Models S Iwase, S Saito, T Simon, S Lombardi, T Bagautdinov, R Joshi, F Prada, ... CVPR2023, 2023 | 1 | 2023 |
Kris KitaniCarnegie Mellon University, Robotics Institute在 cs.cmu.edu 的电子邮件经过验证
