| Source-free progressive graph learning for open-set domain adaptation Y Luo, Z Wang, Z Chen, Z Huang, M Baktashmotlagh IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2023 | 20 | 2023 |
| Exploring Active 3D Object Detection from a Generalization Perspective Y Luo*, Z Chen*, Z Wang, X Yu, Z Huang, M Baktashmotlagh International Conference on Learning Representations (ICLR), 2023 | 11 | 2023 |
| Conditional extreme value theory for open set video domain adaptation Z Chen, Y Luo, M Baktashmotlagh ACM International Conference on Multimedia in Asia (MMAsia), 1-8, 2021 | 9 | 2021 |
| Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling Z Chen, Y Luo, Z Huang, Z Wang, M Baktashmotlagh Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 6 | 2023 |
| RoadAtlas: Intelligent Platform for Automated Road Defect Detection and Asset Management Z Chen, Y Zhang, Y Luo, Z Wang, J Zhong, A Southon ACM International Conference on Multimedia in Asia (MMAsia), 1-3, 2021 | 5 | 2021 |
| KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection Y Luo, Z Chen, Z Fang, Z Zhang, Z Huang, M Baktashmotlagh Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 3 | 2023 |
| In search of lost online test-time adaptation: A survey Z Wang, Y Luo, L Zheng, Z Chen, S Wang, Z Huang arXiv preprint arXiv:2310.20199, 2023 | 1 | 2023 |
| Towards open world active learning for 3d object detection Z Chen, Y Luo, Z Wang, Z Wang, X Yu, Z Huang arXiv preprint arXiv:2310.10391, 2023 | 1 | 2023 |
Yadan LuoARC DECRA Fellow, University of QueenslandZweryfikowany adres z uqconnect.edu.au
