| Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation X Zhu*, H Zhou*, T Wang, F Hong, Y Ma, W Li, H Li, D Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 546 | 2020 |
| Robust multi-modality multi-object tracking W Zhang, H Zhou, S Sun, Z Wang, J Shi, CC Loy Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 236 | 2019 |
| Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation H Zhou*, X Zhu*, X Song, Y Ma, Z Wang, H Li, D Lin arXiv preprint arXiv:2008.01550, 2020 | 185 | 2020 |
| Crafting gbd-net for object detection X Zeng, W Ouyang, J Yan, H Li, T Xiao, K Wang, Y Liu, Y Zhou, B Yang, ... IEEE transactions on pattern analysis and machine intelligence 40 (9), 2109-2123, 2017 | 174 | 2017 |
| Jointly learning deep features, deformable parts, occlusion and classification for pedestrian detection W Ouyang, H Zhou, H Li, Q Li, J Yan, X Wang IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017 | 163 | 2017 |
| Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation X Zhu, H Zhou, C Yang, J Shi, D Lin The European Conference on Computer Vision (ECCV), 2018 | 129 | 2018 |
| Lidar-based panoptic segmentation via dynamic shifting network F Hong, H Zhou, X Zhu, H Li, Z Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 103 | 2021 |
| Cylindrical and asymmetrical 3d convolution networks for lidar-based perception X Zhu, H Zhou, T Wang, F Hong, W Li, Y Ma, H Li, R Yang, D Lin IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6807 …, 2021 | 100 | 2021 |
| Deep continuous conditional random fields with asymmetric inter-object constraints for online multi-object tracking H Zhou, W Ouyang, J Cheng, X Wang, H Li IEEE Transactions on Circuits and Systems for Video Technology 29 (4), 1011-1022, 2018 | 94 | 2018 |
| AdaStereo: a simple and efficient approach for adaptive stereo matching X Song, G Yang, X Zhu, H Zhou, Z Wang, J Shi IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 80 | 2020 |
| SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud H Yi, S Shi, M Ding, J Sun, K Xu, H Zhou, Z Wang, S Li, G Wang 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 | 68 | 2020 |
| LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation L Zhao, H Zhou, X Zhu, X Song, H Li, W Tao IEEE Transactions on Multimedia, 2023 | 63 | 2023 |
| Pedestrian detection via body part semantic and contextual information with DNN S Wang, J Cheng, H Liu, F Wang, H Zhou IEEE Transactions on Multimedia 20 (11), 3148-3159, 2018 | 54 | 2018 |
| Unified 3D and 4D Panoptic Segmentation via Dynamic Shifting Network F Hong, L Kong, H Zhou, X Zhu, H Li, Z Liu IEEE transactions on pattern analysis and machine intelligence, 2023 | 15 | 2023 |
| AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach X Song, G Yang, X Zhu, H Zhou, Y Ma, Z Wang, J Shi International Journal of Computer Vision, 1-20, 2022 | 12 | 2022 |
| ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds X Jia, H Zhou, X Zhu, Y Guo, J Zhang, Y Ma IJCAI23, 2023 | 2 | 2023 |
Hongsheng Li (李鸿升)The Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
