| 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 | 365 | 2020 |
| Morphing and sampling network for dense point cloud completion M Liu, L Sheng, S Yang, J Shao, SM Hu Proceedings of the AAAI conference on artificial intelligence 34 (07), 11596 …, 2020 | 305 | 2020 |
| Task and path planning for multi-agent pickup and delivery M Liu, H Ma, J Li, S Koenig Proceedings of the International Joint Conference on Autonomous Agents and …, 2019 | 162 | 2019 |
| One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization M Liu, C Xu, H Jin, L Chen, M Varma T, Z Xu, H Su Advances in Neural Information Processing Systems 36, 2024 | 143* | 2024 |
| Zero123++: a single image to consistent multi-view diffusion base model R Shi, H Chen, Z Zhang, M Liu, C Xu, X Wei, L Chen, C Zeng, H Su arXiv preprint arXiv:2310.15110, 2023 | 53 | 2023 |
| Multi-task batch reinforcement learning with metric learning J Li, Q Vuong, S Liu, M Liu, K Ciosek, H Christensen, H Su Advances in Neural Information Processing Systems 33, 6197-6210, 2020 | 49 | 2020 |
| Openshape: Scaling up 3d shape representation towards open-world understanding M Liu, R Shi, K Kuang, Y Zhu, X Li, S Han, H Cai, F Porikli, H Su Advances in Neural Information Processing Systems 36, 2024 | 41 | 2024 |
| Meshing point clouds with predicted intrinsic-extrinsic ratio guidance M Liu, X Zhang, H Su Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 41 | 2020 |
| 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 arXiv preprint arXiv:2311.07885, 2023 | 39 | 2023 |
| Less: Label-efficient semantic segmentation for lidar point clouds M Liu, Y Zhou, CR Qi, B Gong, H Su, D Anguelov European conference on computer vision, 70-89, 2022 | 38 | 2022 |
| Approximate convex decomposition for 3d meshes with collision-aware concavity and tree search X Wei, M Liu, Z Ling, H Su ACM Transactions on Graphics (TOG) 41 (4), 1-18, 2022 | 35 | 2022 |
| Partslip: Low-shot part segmentation for 3d point clouds via pretrained image-language models M Liu, Y Zhu, H Cai, S Han, Z Ling, F Porikli, H Su Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
| Deepmetahandles: Learning deformation meta-handles of 3d meshes with biharmonic coordinates M Liu, M Sung, R Mech, H Su Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 26 | 2021 |
| Frame mining: a free lunch for learning robotic manipulation from 3d point clouds M Liu, X Li, Z Ling, Y Li, H Su arXiv preprint arXiv:2210.07442, 2022 | 22 | 2022 |
| 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, 2023 | 20* | 2023 |
| Heterofusion: Dense scene reconstruction integrating multi-sensors S Yang, B Li, M Liu, YK Lai, L Kobbelt, SM Hu IEEE transactions on visualization and computer graphics 26 (11), 3217-3230, 2019 | 16 | 2019 |
| Distilling large vision-language model with out-of-distribution generalizability X Li, Y Fang, M Liu, Z Ling, Z Tu, H Su Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 14 | 2023 |
| Saliency‐aware Real‐time Volumetric Fusion for Object Reconstruction S Yang, K Chen, M Liu, H Fu, SM Hu Computer Graphics Forum 36 (7), 167-174, 2017 | 2 | 2017 |
| 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 | 1 | 2023 |
| DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks T Mu, M Liu, H Su arXiv preprint arXiv:2404.16779, 2024 | | 2024 |
Hao SuUCSD CSEVerified email at ucsd.edu
