| Point Transformer V2: Grouped Vector Attention and Partition-based Pooling X Wu, Y Lao, L Jiang, X Liu, H Zhao Conference on Neural Information Processing Systems (NeurIPS) 2022, 2022 | 144 | 2022 |
| Hierarchical Dense Correlation Distillation for Few-Shot Segmentation B Peng, Z Tian, X Wu, C Wang, S Liu, J Su, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2023 | 35 | 2023 |
| SAM3D: Segment Anything in 3D Scenes Y Yang, X Wu, T He, H Zhao, X Liu International Conference on Computer Vision (ICCV) 2023 - Workshop, 2023 | 29 | 2023 |
| Understanding Imbalanced Semantic Segmentation Through Neural Collapse Z Zhong, J Cui, Y Yang, X Wu, X Qi, X Zhang, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023 …, 2023 | 22 | 2023 |
| Point Transformer V3: Simpler, Faster, Stronger X Wu, L Jiang, PS Wang, Z Liu, X Liu, Y Qiao, W Ouyang, T He, H Zhao IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024 - Oral, 2024 | 17 | 2024 |
| Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning X Wu, X Wen, X Liu, H Zhao IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2023 | 17 | 2023 |
| Towards large-scale 3d representation learning with multi-dataset point prompt training X Wu, Z Tian, X Wen, B Peng, X Liu, K Yu, H Zhao IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2023 | 15 | 2023 |
| PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm H Zhu, H Yang, X Wu, D Huang, S Zhang, X He, T He, H Zhao, C Shen, ... arXiv preprint arXiv:2310.08586, 2023 | 11 | 2023 |
| Pointcept: A Codebase for Point Cloud Perception Research P Contributors https://github.com/Pointcept/Pointcept, 2023 | 11 | 2023 |
| Unipad: A universal pre-training paradigm for autonomous driving H Yang, S Zhang, D Huang, X Wu, H Zhu, T He, S Tang, H Zhao, Q Qiu, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024 | 10 | 2024 |
| Openins3d: Snap and lookup for 3d open-vocabulary instance segmentation Z Huang, X Wu, X Chen, H Zhao, L Zhu, J Lasenby arXiv preprint arXiv:2309.00616, 2023 | 10 | 2023 |
| MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds J Liu, C Chang, J Liu, X Wu, L Ma, X Qi IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023, 2023 | 6 | 2023 |
| OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection Z Qi, J Wang, X Wu, H Zhao International Conference on 3D Vision(3DV), 2024, 2024 | 3 | 2024 |
| GeoSpark: Sparking up Point Cloud Segmentation with Geometry Clue Z Huang, X Wu, H Zhao, L Zhu, S Wang, G Hadjidemetriou, I Brilakis arXiv preprint arXiv:2303.08274, 2023 | 2 | 2023 |
| OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation B Peng, X Wu, L Jiang, Y Chen, H Zhao, Z Tian, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024 | 1 | 2024 |
| GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding C Wang, L Jiang, X Wu, Z Tian, B Peng, H Zhao, J Jia IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024 | 1 | 2024 |
| GPT4Point: A Unified Framework for Point-Language Understanding and Generation Z Qi, Y Fang, Z Sun, X Wu, T Wu, J Wang, D Lin, H Zhao IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024 …, 2024 | 1 | 2024 |
| OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding F Engelmann, A Takmaz, J Schult, E Fedele, J Wald, S Peng, X Wang, ... arXiv preprint arXiv:2402.15321, 2024 | | 2024 |
| DreamComposer: Controllable 3D Object Generation via Multi-View Conditions Y Yang, Y Huang, X Wu, YC Guo, SH Zhang, H Zhao, T He, X Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024, 2024 | | 2024 |
Hengshuang ZhaoThe University of Hong KongVerified email at csail.mit.edu
