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He Wang
He Wang
Assistant Professor of Computer Science, Peking University
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
6482019
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
3742020
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
3372019
Category-level articulated object pose estimation
X Li, H Wang, L Yi, LJ Guibas, AL Abbott, S Song
CVPR 2020 Oral, 3706-3715, 2020
1812020
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
1032021
Curriculum DeepSDF
Y Duan, H Zhu, H Wang, L Yi, R Nevatia, LJ Guibas
European Conference on Computer Vision (ECCV) 2020, 2020
972020
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
892022
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
852021
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
652022
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
492020
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
452021
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
432023
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
432023
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
412021
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
402022
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
402020
Domain Adaptation on Point Clouds via Geometry-Aware Implicits
Y Shen, Y Yang, M Yan, H Wang, Y Zheng, L Guibas
CVPR 2022, 2021
362021
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
322022
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
292023
Projective Manifold Gradient Layer for Deep Rotation Regression
J Chen, Y Yin, T Birdal, B Chen, L Guibas, H Wang
CVPR 2022, 2022
292022
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