| Pointseg: Real-time semantic segmentation based on 3d lidar point cloud Y Wang, T Shi, P Yun, L Tai, M Liu arXiv preprint arXiv:1807.06288, 2018 | 158 | 2018 |
| FuseSeg: Semantic segmentation of urban scenes based on RGB and thermal data fusion Y Sun, W Zuo, P Yun, H Wang, M Liu IEEE Transactions on Automation Science and Engineering 18 (3), 1000-1011, 2020 | 152 | 2020 |
| Vr-goggles for robots: Real-to-sim domain adaptation for visual control J Zhang, L Tai, P Yun, Y Xiong, M Liu, J Boedecker, W Burgard IEEE Robotics and Automation Letters 4 (2), 1148-1155, 2019 | 127 | 2019 |
| Deep metric learning for open world semantic segmentation J Cen, P Yun, J Cai, MY Wang, M Liu Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 72 | 2021 |
| The role of the hercules autonomous vehicle during the covid-19 pandemic: An autonomous logistic vehicle for contactless goods transportation T Liu, Q hai Liao, L Gan, F Ma, J Cheng, X Xie, Z Wang, Y Chen, Y Zhu, ... IEEE Robotics & Automation Magazine 28 (1), 48-58, 2021 | 66* | 2021 |
| Focal loss in 3d object detection P Yun, L Tai, Y Wang, C Liu, M Liu IEEE Robotics and Automation Letters 4 (2), 1263-1270, 2019 | 66 | 2019 |
| Greedy-based feature selection for efficient LiDAR SLAM J Jiao, Y Zhu, H Ye, H Huang, P Yun, L Jiang, L Wang, M Liu 2021 IEEE international conference on robotics and automation (ICRA), 5222-5228, 2021 | 37 | 2021 |
| Open-set 3d object detection J Cen, P Yun, J Cai, MY Wang, M Liu 2021 International conference on 3D vision (3DV), 869-878, 2021 | 29 | 2021 |
| Open-world semantic segmentation for lidar point clouds J Cen, P Yun, S Zhang, J Cai, D Luan, M Tang, M Liu, M Yu Wang European Conference on Computer Vision, 318-334, 2022 | 23 | 2022 |
| Visual-based autonomous driving deployment from a stochastic and uncertainty-aware perspective L Tai, P Yun, Y Chen, C Liu, H Ye, M Liu 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 21 | 2019 |
| In defense of knowledge distillation for task incremental learning and its application in 3D object detection P Yun, Y Liu, M Liu IEEE Robotics and Automation Letters 6 (2), 2012-2019, 2021 | 18 | 2021 |
| RoadFormer: Duplex transformer for RGB-normal semantic road scene parsing J Li, Y Zhan, P Yun, G Zhou, Q Chen, R Fan IEEE Transactions on Intelligent Vehicles, 2024 | 17 | 2024 |
| MLOD: Awareness of extrinsic perturbation in multi-LiDAR 3D object detection for autonomous driving J Jiao, P Yun, L Tai, M Liu 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 15 | 2020 |
| Accurate and robust visual localization system in large-scale appearance-changing environments Y Yu, P Yun, B Xue, J Jiao, R Fan, M Liu IEEE/ASME Transactions on Mechatronics 27 (6), 5222-5232, 2022 | 13 | 2022 |
| Towards a cloud robotics platform for distributed visual slam P Yun, J Jiao, M Liu International Conference on Computer Vision Systems, 3-15, 2017 | 12 | 2017 |
| Deep metric learning for open world semantic segmentation. 2021 IEEE J Cen, P Yun, J Cai, MY Wang, M Liu CVF International Conference on Computer Vision (ICCV), 15313-15322, 2021 | 8 | 2021 |
| Smart-inspect: micro scale localization and classification of smartphone glass defects for industrial automation MUM Bhutta, S Aslam, P Yun, J Jiao, M Liu 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 7 | 2020 |
| A cloud-based visual slam framework for low-cost agents J Jiao, P Yun, M Liu International Conference on Computer Vision Systems, 471-484, 2017 | 6 | 2017 |
| Laplace approximation based epistemic uncertainty estimation in 3d object detection P Yun, M Liu Conference on Robot Learning, 1125-1135, 2023 | 3 | 2023 |
| Conflicts between likelihood and knowledge distillation in task incremental learning for 3d object detection P Yun, J Cen, M Liu 2021 International Conference on 3D Vision (3DV), 575-585, 2021 | 3 | 2021 |
Ming LiuROAS Thrust, Hong Kong University of Science and Technology (GZ)在 hkust-gz.edu.cn 的电子邮件经过验证
