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 | 37 | 2022 |
Pointcept: A Codebase for Point Cloud Perception Research P Contributors https://github.com/Pointcept/Pointcept, 2023 | 5 | 2023 |
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 | 4 | 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 | 4 | 2023 |
SAM3D: Segment Anything in 3D Scenes Y Yang, X Wu, T He, H Zhao, X Liu arXiv preprint arXiv:2306.03908, 2023 | 3 | 2023 |
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 | 2 | 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 | 2 | 2023 |
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 | 1 | 2023 |
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 | | 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 arXiv preprint arXiv:2308.09718, 2023 | | 2023 |
OCBEV: Object-Centric BEV Transformer for Multi-View 3D Object Detection Z Qi, J Wang, X Wu, H Zhao arXiv preprint arXiv:2306.01738, 2023 | | 2023 |