| Optimising the selection of samples for robust lidar camera calibration D Tsai, S Worrall, M Shan, A Lohr, E Nebot 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 37 | 2021 |
| Viewer-centred surface completion for unsupervised domain adaptation in 3D object detection D Tsai, JS Berrio, M Shan, E Nebot, S Worrall 2023 IEEE International Conference on Robotics and Automation (ICRA), 9346-9353, 2023 | 15 | 2023 |
| See eye to eye: A lidar-agnostic 3d detection framework for unsupervised multi-target domain adaptation D Tsai, JS Berrio, M Shan, S Worrall, E Nebot IEEE Robotics and Automation Letters 7 (3), 7904-7911, 2022 | 15 | 2022 |
| Ms3d: Leveraging multiple detectors for unsupervised domain adaptation in 3d object detection D Tsai, JS Berrio, M Shan, E Nebot, S Worrall 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 8 | 2023 |
| MS3D++: Ensemble of Experts for Multi-Source Unsupervised Domain Adaptation in 3D Object Detection D Tsai, JS Berrio, M Shan, E Nebot, S Worrall arXiv preprint arXiv:2308.05988, 2023 | 5 | 2023 |
| Overcoming Domain Shift in Lidar-based 3D Object Detection in Urban Contexts D Tsai | | 2023 |
Mao ShanAustralian Centre for Robotics, The University of Sydney, Australia在 acfr.usyd.edu.au 的电子邮件经过验证
