| Deep Metric Learning for Open World Semantic Segmentation J Cen, P Yun, J Cai, MY Wang, M Liu International Conference on Computer Vision (ICCV), 2021 | 75 | 2021 |
| Segment Any Point Cloud Sequences by Distilling Vision Foundation Models Y Liu, L Kong, J Cen, R Chen, W Zhang, L Pan, K Chen, Z Liu Conference on Neural Information Processing Systems (NeurIPS), 2023 | 67* | 2023 |
| Open-set 3D Object Detection J Cen, P Yun, J Cai, MY Wang, M Liu International Conference on 3D Vision (3DV), 2021 | 27 | 2021 |
| Open-world Semantic Segmentation for LIDAR Point Clouds J Cen, P Yun, S Zhang, J Cai, D Luan, MY Wang, M Liu, M Tang European Conference on Computer Vision (ECCV), 2022 | 23 | 2022 |
| The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition J Cen, D Luan, S Zhang, Y Pei, Y Zhang, D Zhao, S Shen, Q Chen International Conference on Learning Representations (ICLR), 2023 | 20 | 2023 |
| CLIP-guided Prototype Modulating for Few-shot Action Recognition X Wang, S Zhang, J Cen, C Gao, Y Zhang, D Zhao, N Sang International Journal of Computer Vision (IJCV), 2023 | 18 | 2023 |
| Real-Time Collision-Free Grasp Pose Detection With Geometry-Aware Refinement Using High-Resolution Volume J Cai, J Cen, H Wang, MY Wang IEEE Robotics and Automation Letters (R-AL), 2022 | 18 | 2022 |
| Borm: Bayesian object relation model for indoor scene recognition L Zhou, J Cen, X Wang, Z Sun, TL Lam, Y Xu International Conference on Intelligent Robots and Systems (IROS), 2021 | 16 | 2021 |
| SAD: segment any RGBD J Cen, Y Wu, K Wang, X Li, J Yang, Y Pei, L Kong, Z Liu, Q Chen arXiv preprint arXiv:2305.14207, 2023 | 11 | 2023 |
| Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning Y Pei, Z Qing, J Cen, X Wang, S Zhang, Y Wang, M Tang, N Sang, X Qian Conference on Neural Information Processing Systems (NeurIPS), 2022 | 8 | 2022 |
| CMDFusion: Bidirectional Fusion Network with Cross-modality Knowledge Distillation for LIDAR Semantic Segmentation J Cen, S Zhang, Y Pei, K Li, H Zheng, M Luo, Y Zhang, Q Chen IEEE Robotics and Automation Letters (R-AL), 2023 | 6 | 2023 |
| Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding L Kong, X Xu, J Cen, W Zhang, L Pan, K Chen, Z Liu arXiv preprint arXiv:2403.17010, 2024 | 3 | 2024 |
| 4D Panoptic Scene Graph Generation J Yang, CEN Jun, W Peng, S Liu, F Hong, X Li, K Zhou, Q Chen, Z Liu Conference on Neural Information Processing Systems (NeurIPS), 2023 | 3 | 2023 |
| Conflicts between Likelihood and Knowledge Distillation in Task Incremental Learning for 3D Object Detection P Yun, J Cen, M Liu International Conference on 3D Vision (3DV), 2021 | 3 | 2021 |
| Using Left and Right Brains Together: Towards Vision and Language Planning J Cen, C Wu, X Liu, S Yin, Y Pei, J Yang, Q Chen, N Duan, J Zhang International Conference on Machine Learning (ICML), 2024 | 2 | 2024 |
| Towards Few-shot Out-of-Distribution Detection J Dong, Y Gao, H Zhou, J Cen, Y Yao, S Yoon, PD Sun arXiv preprint arXiv:2311.12076, 2023 | 2 | 2023 |
| Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition J Cen, S Zhang, X Wang, Y Pei, Z Qing, Y Zhang, Q Chen Computer Vision and Pattern Recognition (CVPR), 2023 | 2 | 2023 |
| Consistent Prompting for Rehearsal-Free Continual Learning Z Gao, J Cen, X Chang Computer Vision and Pattern Recognition (CVPR), 2024 | 1 | 2024 |
| Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations K Wang, Y Wu, J Cen, Z Pan, X Li, Z Wang, Z Cao, G Lin Computer Vision and Pattern Recognition (CVPR), 2024 | | 2024 |
Junhao CaiHong Kong University of Science and Technology在 connect.ust.hk 的电子邮件经过验证
