| Hierarchical dense correlation distillation for few-shot segmentation B Peng, Z Tian, X Wu, C Wang, S Liu, J Su, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 78 | 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 29 | 2024 |
| Pointcept: A codebase for point cloud perception research P Contributors | 25 | 2023 |
| An improved baseline for reasoning segmentation with large language model S Yang, T Qu, X Lai, Z Tian, B Peng, S Liu, J Jia arXiv e-prints, arXiv: 2312.17240, 2023 | 21 | 2023 |
| Controlnext: Powerful and efficient control for image and video generation B Peng, J Wang, Y Zhang, W Li, MC Yang, J Jia arXiv preprint arXiv:2408.06070, 2024 | 20 | 2024 |
| OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation B Peng, X Wu, L Jiang, Y Chen, H Zhao, Z Tian, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 17 | 2024 |
| Prompt Highlighter: Interactive Control for Multi-Modal LLMs Y Zhang, S Qian, B Peng, S Liu, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11 | 2023 |
| Scalable language model with generalized continual learning B Peng, Z Tian, S Liu, M Yang, J Jia International Conference on Learning Representations (ICLR), 2024 | 7 | 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
| Supplementary Materials for OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation B Peng, X Wu, L Jiang, Y Chen, H Zhao, Z Tian, J Jia | | |
Jiaya JiaChair Professor, HKUST; Adjunct Prof., CUHKVerified email at cse.ust.hk
