| Normalized object coordinate space for category-level 6d object pose and size estimation H Wang, S Sridhar, J Huang, J Valentin, S Song, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 702 | 2019 |
| Sapien: A simulated part-based interactive environment F Xiang, Y Qin, K Mo, Y Xia, H Zhu, F Liu, M Liu, H Jiang, Y Yuan, H Wang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 408 | 2020 |
| Gspn: Generative shape proposal network for 3d instance segmentation in point cloud L Yi, W Zhao, H Wang, M Sung, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 357 | 2019 |
| Category-level articulated object pose estimation X Li, H Wang, L Yi, LJ Guibas, AL Abbott, S Song CVPR 2020 Oral, 3706-3715, 2020 | 195 | 2020 |
| 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection H Wang, Y Cong, O Litany, Y Gao, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 125 | 2021 |
| HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction Y Liu, Y Liu, C Jiang, Z Fu, K Lyu, W Wan, H Shen, B Liang, H Wang, L Yi CVPR 2022, 2022 | 113 | 2022 |
| Curriculum DeepSDF Y Duan, H Zhu, H Wang, L Yi, R Nevatia, LJ Guibas European Conference on Computer Vision (ECCV) 2020, 2020 | 106 | 2020 |
| CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds Y Weng, H Wang, Q Zhou, Y Qin, Y Duan, Q Fan, B Chen, H Su, ... ICCV 2021 Oral, 2021 | 92 | 2021 |
| ASRO-DIO: Active subspace random optimization based depth inertial odometry J Zhang, Y Tang, H Wang, K Xu IEEE Transactions on Robotics 39 (2), 1496-1508, 2022 | 66 | 2022 |
| GraspNeRF: Multiview-based 6-DoF Grasp Detection for Transparent and Specular Objects Using Generalizable NeRF Q Dai, Y Zhu, Y Geng, C Ruan, J Zhang, H Wang ICRA 2023, 2023 | 65 | 2023 |
| UniDexGrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy Y Xu, W Wan, J Zhang, H Liu, Z Shan, H Shen, R Wang, H Geng, Y Weng, ... CVPR 2023, 2023 | 58 | 2023 |
| GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts H Geng, H Xu, C Zhao, C Xu, L Yi, S Huang, H Wang CVPR 2023 Highlight, 2022 | 57 | 2022 |
| If-defense: 3d adversarial point cloud defense via implicit function based restoration Z Wu, Y Duan, H Wang, Q Fan, LJ Guibas arXiv preprint arXiv:2010.05272, 2020 | 56 | 2020 |
| DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation R Wang, J Zhang, J Chen, Y Xu, P Li, T Liu, H Wang ICRA 2023 (Outstanding Manipulation Paper Finalist), 2022 | 50 | 2022 |
| Domain Adaptation on Point Clouds via Geometry-Aware Implicits Y Shen, Y Yang, M Yan, H Wang, Y Zheng, L Guibas CVPR 2022, 2021 | 49 | 2021 |
| MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization J Huang, H Wang, T Birdal, M Sung, F Arrigoni, SM Hu, L Guibas CVPR 2021 Oral, 2021 | 48 | 2021 |
| Leveraging SE (3) equivariance for self-supervised category-level object pose estimation from point clouds X Li, Y Weng, L Yi, LJ Guibas, A Abbott, S Song, H Wang Advances in neural information processing systems 34, 15370-15381, 2021 | 45 | 2021 |
| PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions K Mo, H Wang, X Yan, LJ Guibas European Conference on Computer Vision (ECCV) 2020, 2020 | 43 | 2020 |
| UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning W Wan, H Geng, Y Liu, Z Shan, Y Yang, L Yi, H Wang ICCV 2023 Oral & Best Paper Finalist, 2023 | 41 | 2023 |
| Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects Q Dai, J Zhang, Q Li, T Wu, H Dong, Z Liu, P Tan, H Wang ECCV 2022, 2022 | 37 | 2022 |
Leonidas GuibasProfessor of Computer Science, Stanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
