| Ccnet: Criss-cross attention for semantic segmentation Z Huang, X Wang, L Huang, C Huang, Y Wei, W Liu Proceedings of the IEEE/CVF international conference on computer vision, 603-612, 2019 | 2025 | 2019 |
| Mask scoring r-cnn Z Huang, L Huang, Y Gong, C Huang, X Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 842 | 2019 |
| Densebox: Unifying landmark localization with end to end object detection L Huang, Y Yang, Y Deng, Y Yu arXiv preprint arXiv:1509.04874, 2015 | 519 | 2015 |
| Image super-resolution with cross-scale non-local attention and exhaustive self-exemplars mining Y Mei, Y Fan, Y Zhou, L Huang, TS Huang, H Shi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 279 | 2020 |
| Boundary-preserving mask r-cnn T Cheng, X Wang, L Huang, W Liu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 157 | 2020 |
| Parse geometry from a line: Monocular depth estimation with partial laser observation Y Liao, L Huang, Y Wang, S Kodagoda, Y Yu, Y Liu 2017 IEEE international conference on robotics and automation (ICRA), 5059-5066, 2017 | 108 | 2017 |
| Systems and methods for end-to-end object detection L Huang, Y Yang, Y Deng, YU Yinan US Patent 9,881,234, 2018 | 82 | 2018 |
| Rdsnet: A new deep architecture forreciprocal object detection and instance segmentation S Wang, Y Gong, J Xing, L Huang, C Huang, W Hu Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12208 …, 2020 | 50 | 2020 |
| Tracklet association tracker: An end-to-end learning-based association approach for multi-object tracking H Shen, L Huang, C Huang, W Xu arXiv preprint arXiv:1808.01562, 2018 | 50 | 2018 |
| Learned video compression via joint spatial-temporal correlation exploration H Liu, H Shen, L Huang, M Lu, T Chen, Z Ma Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11580 …, 2020 | 42 | 2020 |
| Incorporating structural alternatives and sharing into hierarchy for multiclass object recognition and detection X Wang, L Lin, L Huang, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 30 | 2013 |
| Real-time and accurate object detection in compressed video by long short-term feature aggregation X Wang, Z Huang, B Liao, L Huang, Y Gong, C Huang Computer Vision and Image Understanding 206, 103188, 2021 | 12 | 2021 |
| Object detection in video with spatial-temporal context aggregation H Luo, L Huang, H Shen, Y Li, C Huang, X Wang arXiv preprint arXiv:1907.04988, 2019 | 11 | 2019 |
| Motion-guided spatial time attention for video object segmentation Q Zhou, Z Huang, L Huang, Y Gong, H Shen, W Liu, X Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 11 | 2019 |
| Mask scoring r-cnn H Zhaojin, H Lichao, G Yongchao, H Chang, W Xinggang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 9 | 2019 |
| Context-aware dynamic feature extraction for 3d object detection in point clouds Y Tian, L Huang, H Yu, X Wu, X Li, K Wang, Z Wang, FY Wang IEEE Transactions on Intelligent Transportation Systems 23 (8), 10773-10785, 2021 | 7 | 2021 |
| Proposal, tracking and segmentation (pts): A cascaded network for video object segmentation Q Zhou, Z Huang, L Huang, Y Gong, H Shen, C Huang, W Liu, X Wang arXiv preprint arXiv:1907.01203, 2019 | 6 | 2019 |
| Multi-object tracking via end-to-end tracklet searching and ranking T Hu, L Huang, H Shen arXiv preprint arXiv:2003.02795, 2020 | 4 | 2020 |
| Real time visual tracking using spatial-aware temporal aggregation network T Hu, L Huang, X Liu, H Shen arXiv preprint arXiv:1908.00692, 2019 | 2 | 2019 |
| Pillar in Pillar: Multi-Scale and Dynamic Feature Extraction for 3D Object Detection in Point Clouds. Y Tian, L Huang, X Li, Y Li, Z Wang, FY Wang CoRR, 2019 | | 2019 |
Xinggang WangProfessor, Huazhong University of Science and TechnologyVerified email at hust.edu.cn
