| 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 | 48 | 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 | 17 | 2024 |
| Pointcept: A codebase for point cloud perception research P Contributors | 15 | 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 preprint arXiv:2312.17240, 2023 | 7 | 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 | 4 | 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 | 4 | 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 | 4 | 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 | 1 | 2023 |
| 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 JiaProfessor, CUHK在 cse.cuhk.edu.hk 的电子邮件经过验证
