| Relation networks for object detection H Hu, J Gu, Z Zhang, J Dai, Y Wei Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1566 | 2018 |
| Open x-embodiment: Robotic learning datasets and rt-x models A O’Neill, A Rehman, A Maddukuri, A Gupta, A Padalkar, A Lee, A Pooley, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 6892-6903, 2024 | 357* | 2024 |
| Multi-view pointnet for 3d scene understanding M Jaritz, J Gu, H Su Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 199 | 2019 |
| Maniskill2: A unified benchmark for generalizable manipulation skills J Gu, F Xiang, X Li, Z Ling, X Liu, T Mu, Y Tang, S Tao, X Wei, Y Yao, ... arXiv preprint arXiv:2302.04659, 2023 | 127* | 2023 |
| Towards understanding learning representations: To what extent do different neural networks learn the same representation L Wang, L Hu, J Gu, Z Hu, Y Wu, K He, J Hopcroft Advances in neural information processing systems 31, 2018 | 122 | 2018 |
| One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion M Liu, R Shi, L Chen, Z Zhang, C Xu, X Wei, H Chen, C Zeng, J Gu, H Su Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 111 | 2024 |
| Learning region features for object detection J Gu, H Hu, L Wang, Y Wei, J Dai Proceedings of the european conference on computer vision (ECCV), 381-395, 2018 | 97 | 2018 |
| Weakly-supervised 3d shape completion in the wild J Gu, WC Ma, S Manivasagam, W Zeng, Z Wang, Y Xiong, H Su, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 62 | 2020 |
| Towards scale-invariant graph-related problem solving by iterative homogeneous gnns H Tang, Z Huang, J Gu, BL Lu, H Su Advances in Neural Information Processing Systems 33, 15811-15822, 2020 | 58 | 2020 |
| Multi-skill mobile manipulation for object rearrangement J Gu, DS Chaplot, H Su, J Malik arXiv preprint arXiv:2209.02778, 2022 | 51 | 2022 |
| Rt-trajectory: Robotic task generalization via hindsight trajectory sketches J Gu, S Kirmani, P Wohlhart, Y Lu, MG Arenas, K Rao, W Yu, C Fu, ... arXiv preprint arXiv:2311.01977, 2023 | 31* | 2023 |
| Close the optical sensing domain gap by physics-grounded active stereo sensor simulation X Zhang, R Chen, A Li, F Xiang, Y Qin, J Gu, Z Ling, M Liu, P Zeng, S Han, ... IEEE Transactions on Robotics 39 (3), 2429-2447, 2023 | 30 | 2023 |
| Evaluating Real-World Robot Manipulation Policies in Simulation X Li, K Hsu, J Gu, K Pertsch, O Mees, HR Walke, C Fu, I Lunawat, I Sieh, ... arXiv preprint arXiv:2405.05941, 2024 | 19 | 2024 |
| Deep feedback inverse problem solver WC Ma, S Wang, J Gu, S Manivasagam, A Torralba, R Urtasun Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 18 | 2020 |
| Refactoring policy for compositional generalizability using self-supervised object proposals T Mu, J Gu, Z Jia, H Tang, H Su Advances in Neural Information Processing Systems 33, 8883-8894, 2020 | 12 | 2020 |
| PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation Y Zhou, J Gu, X Li, M Liu, Y Fang, H Su arXiv preprint arXiv:2312.03015, 2023 | 8 | 2023 |
| Compositionally generalizable 3d structure prediction S Han, J Gu, K Mo, L Yi, S Hu, X Chen, H Su arXiv preprint arXiv:2012.02493, 2020 | 8 | 2020 |
| RT-Sketch: Goal-Conditioned Imitation Learning from Hand-Drawn Sketches P Sundaresan, Q Vuong, J Gu, P Xu, T Xiao, S Kirmani, T Yu, M Stark, ... | 5 | 2024 |
| Generic 3D Diffusion Adapter Using Controlled Multi-View Editing H Chen, R Shi, Y Liu, B Shen, J Gu, G Wetzstein, H Su, L Guibas arXiv preprint arXiv:2403.12032, 2024 | 4 | 2024 |
| Point-SAM: Promptable 3D Segmentation Model for Point Clouds Y Zhou, J Gu, TY Chiang, F Xiang, H Su arXiv preprint arXiv:2406.17741, 2024 | 1 | 2024 |
Hao SuUCSD CSEEmail verificata su ucsd.edu