| 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 | 508 | 2019 |
| 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 | 290 | 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 | 267 | 2020 |
| Category-level articulated object pose estimation X Li, H Wang, L Yi, LJ Guibas, AL Abbott, S Song CVPR 2020 Oral, 3706-3715, 2020 | 138 | 2020 |
| Curriculum DeepSDF Y Duan, H Zhu, H Wang, L Yi, R Nevatia, LJ Guibas European Conference on Computer Vision (ECCV) 2020, 2020 | 75 | 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 | 74 | 2021 |
| 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 | 57 | 2021 |
| 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 | 38 | 2020 |
| 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 | 36 | 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 | 35 | 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 | 33 | 2020 |
| 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 | 30 | 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 | 22 | 2021 |
| Learning a Generative Model for Multi‐Step Human‐Object Interactions from Videos H Wang, S Pirk, E Yumer, VG Kim, O Sener, S Sridhar, LJ Guibas Eurographics 2019 (Best paper honorable mention) 38 (2), 367-378, 2019 | 22 | 2019 |
| Projective Manifold Gradient Layer for Deep Rotation Regression J Chen, Y Yin, T Birdal, B Chen, L Guibas, H Wang CVPR 2022, 2022 | 19 | 2022 |
| Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments S Dong, Q Fan, H Wang, J Shi, L Yi, T Funkhouser, B Chen, L Guibas CVPR 2021 Oral, 2021 | 18 | 2021 |
| Single image 3d shape retrieval via cross-modal instance and category contrastive learning MX Lin, J Yang, H Wang, YK Lai, R Jia, B Zhao, L Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 14 | 2021 |
| Rethinking sampling in 3d point cloud generative adversarial networks H Wang, Z Jiang, L Yi, K Mo, H Su, LJ Guibas CVPR 2021 Workshop on Learning to Generate 3D Shapes and Scenes, 2021 | 13 | 2021 |
| Learning category-level generalizable object manipulation policy via generative adversarial self-imitation learning from demonstrations H Shen, W Wan, H Wang IEEE Robotics and Automation Letter, IROS 2022, 2022 | 10 | 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, 2022 | 9 | 2022 |
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerifisert e-postadresse på cs.stanford.edu
