| Larger norm more transferable: An adaptive feature norm approach for unsupervised domain adaptation R Xu, G Li, J Yang, L Lin ICCV 2019, 2019 | 635 | 2019 |
| Openpcdet: An open-source toolbox for 3d object detection from point clouds OD Team (2nd core contributor) https://github.com/open-mmlab/OpenPCDet, 2020 | 261* | 2020 |
| St3d: Self-training for unsupervised domain adaptation on 3d object detection J Yang*, S Shi*, Z Wang, H Li, X Qi CVPR 2021, 2021 | 222 | 2021 |
| Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation R He*, J Yang*, X Qi ICCV 2021, 2021 | 143 | 2021 |
| PLA: Language-Driven Open-Vocabulary 3D Scene Understanding R Ding*, J Yang*, C Xue, W Zhang, S Bai, X Qi CVPR 2023, 2023 | 130 | 2023 |
| An adversarial perturbation oriented domain adaptation approach for semantic segmentation J Yang, R Xu, R Li, X Qi, X Shen, G Li, L Lin AAAI 2020, 2020 | 120 | 2020 |
| Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs S Tong, E Brown, P Wu, S Woo, M Middepogu, SC Akula, J Yang, S Yang, ... arXiv preprint arXiv:2406.16860, 2024 | 118 | 2024 |
| ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection J Yang, S Shi, Z Wang, H Li, X Qi IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 70 | 2022 |
| Towards Efficient 3D Object Detection with Knowledge Distillation J Yang, S Shi, R Ding, Z Wang, X Qi NeurIPS 2022, 2022 | 45 | 2022 |
| Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability R He, S Sun, J Yang, S Bai, X Qi CVPR 2022, 2022 | 45 | 2022 |
| Regionplc: Regional point-language contrastive learning for open-world 3d scene understanding J Yang*, R Ding*, W Deng, Z Wang, X Qi CVPR 2024, 2024 | 43 | 2024 |
| Lowis3d: Language-driven open-world instance-level 3d scene understanding R Ding, J Yang, C Xue, W Zhang, S Bai, X Qi IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 22 | 2023 |
| DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Indoor Semantic Segmentation R Ding*, J Yang*, L Jiang, X Qi ECCV 2022, 2022 | 18* | 2022 |
| PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection/3D Tracking/Domain Adaptation of Waymo Open Dataset Challenges S Shi, C Guo, J Yang, H Li Technical Report for Waymo Open Challenges, 2020 | 15 | 2020 |
| V-IRL: Grounding Virtual Intelligence in Real Life J Yang, R Ding, E Brown, X Qi, S Xie ECCV 2024, 2024 | 10 | 2024 |
| Can 3D Vision-Language Models Truly Understand Natural Language? W Deng, J Yang, R Ding, J Liu, Y Li, X Qi, E Ngai arXiv preprint arXiv:2403.14760, 2024 | 3 | 2024 |
Xiaojuan QiAssistant Professor, The University of Hong Kong在 eee.hku.hk 的电子邮件经过验证
