| Unpaired Image-to-Image Translation using Adversarial Consistency Loss Y Zhao, R Wu, H Dong European Conference on Computer Vision, 800-815, 2020 | 148 | 2020 |
| VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects R Wu*, Y Zhao*, K Mo*, Z Guo, Y Wang, T Wu, Q Fan, X Chen, L Guibas, ... International Conference on Learning Representations (ICLR) 2022, 2021 | 97 | 2021 |
| AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions Y Wang*, R Wu*, K Mo*, J Ke, Q Fan, L Guibas, H Dong ECCV 2022, 2021 | 63 | 2021 |
| Tdapnet: Prototype network with recurrent top-down attention for robust object classification under partial occlusion M Xiao, A Kortylewski, R Wu, S Qiao, W Shen, A Yuille European Conference on Computer Vision Workshops, 447-463, 2019 | 37* | 2019 |
| DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation Y Zhao*, R Wu*, Z Chen, Y Zhang, Q Fan, K Mo, H Dong International Conference on Learning Representations (ICLR) 2023, 2022 | 33* | 2022 |
| Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects C Ning, R Wu, H Lu, K Mo, H Dong NeurIPS 2023, 2023 | 31 | 2023 |
| Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation R Wu*, C Ning*, H Dong ICCV 2023, 2023 | 26 | 2023 |
| Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions R Wu, K Cheng, Y Shen, C Ning, G Zhan, H Dong NeurIPS 2023, 2023 | 21 | 2023 |
| Leveraging SE (3) Equivariance for Learning 3D Geometric Shape Assembly R Wu, C Tie, Y Du, Y Zhao, H Dong ICCV 2023, 2023 | 17 | 2023 |
| Articulated object manipulation with coarse-to-fine affordance for mitigating the effect of point cloud noise S Ling, Y Wang, R Wu, S Wu, Y Zhuang, T Xu, Y Li, C Liu, H Dong 2024 IEEE International Conference on Robotics and Automation (ICRA), 10895 …, 2024 | 12 | 2024 |
| UniGarmentManip: A Unified Framework for Category-Level Garment Manipulation via Dense Visual Correspondence R Wu, H Lu, Y Wang, Y Wang, H Dong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 11 | 2024 |
| UniDoorManip: Learning Universal Door Manipulation Policy Over Large-scale and Diverse Door Manipulation Environments Y Li*, X Zhang*, R Wu*, Z Zhang, Y Geng, H Dong, Z He arXiv preprint arXiv:2403.02604, 2024 | 10 | 2024 |
| RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation H Jiang, B Huang, R Wu, Z Li, S Garg, H Nayyeri, S Wang, Y Li CoRL 2024, 2024 | 8 | 2024 |
| Localize, Assemble, and Predicate: Contextual Object Proposal Embedding for Visual Relation Detection R Wu, K Xu, C Liu, N Zhuang, Y Mu AAAI 2020, 12297-12304, 2020 | 7 | 2020 |
| GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation H Lu, R Wu, Y Li, S Li, Z Zhu, C Ning, Y Shen, L Luo, Y Chen, H Dong NeurIPS 2024; Spotlight Presentation on ICRA 2024 Workshop on Deformable …, 2024 | 5* | 2024 |
| Naturalvlm: Leveraging fine-grained natural language for affordance-guided visual manipulation R Xu, Y Shen, X Li, R Wu, H Dong RA-L 2024, 2024 | 5 | 2024 |
| EqvAfford: SE (3) Equivariance for Point-Level Affordance Learning Y Chen, C Tie, R Wu, H Dong CVPR 2024 Workshop on Equivariant Vision: From Theory to Practice, 2024 | 3 | 2024 |
| Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters Y Li*, R Wu*, H Lu, C Ning, Y Shen, G Zhan, H Dong RSS 2024, 2024 | 3 | 2024 |
| PreAfford: Universal Affordance-Based Pre-Grasping for Diverse Objects and Environments K Ding, B Chen, R Wu, Y Li, Z Zhang, H Gao, S Li, Y Zhu, G Zhou, H Dong, ... IROS 2024, 2024 | 3 | 2024 |
| MobileAfford: Mobile Robotic Manipulation through Differentiable Affordance Learning Y Li, K Cheng, R Wu, Y Shen, K Zhou, H Dong 2nd Workshop on Mobile Manipulation and Embodied Intelligence at ICRA 2024, 2024 | 3 | 2024 |
Hao DongAssistant Professor at Peking UniversityE-mailová adresa ověřena na: pku.edu.cn