| Deep Learning Face Attributes in the Wild Z Liu, P Luo, X Wang, X Tang ICCV, 2015 | 7770 | 2015 |
| Pyramid vision transformer: A versatile backbone for dense prediction without convolutions W Wang, E Xie, X Li, DP Fan, K Song, D Liang, T Lu, P Luo, L Shao Proceedings of the IEEE/CVF international conference on computer vision, 568-578, 2021 | 2619 | 2021 |
| SegFormer: Simple and efficient design for semantic segmentation with transformers E Xie, W Wang, Z Yu, A Anandkumar, JM Alvarez, P Luo Advances in Neural Information Processing Systems 34, 12077-12090, 2021 | 2034 | 2021 |
| Wider face: A face detection benchmark S Yang, P Luo, CC Loy, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1907 | 2016 |
| Deepfashion: Powering robust clothes recognition and retrieval with rich annotations Z Liu, P Luo, S Qiu, X Wang, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1838 | 2016 |
| PVTv2: Improved Baselines with Pyramid Vision Transformer LS Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang ... Computational Visual Media, 2022 | 1778* | 2022 |
| Facial landmark detection by deep multi-task learning Z Zhang, P Luo, CC Loy, X Tang Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 1676 | 2014 |
| A large-scale car dataset for fine-grained categorization and verification L Yang, P Luo, C Change Loy, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 942 | 2015 |
| Maskgan: Towards diverse and interactive facial image manipulation CH Lee, Z Liu, L Wu, P Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 911 | 2020 |
| Spatial as deep: Spatial cnn for traffic scene understanding X Pan, J Shi, P Luo, X Wang, X Tang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 832 | 2018 |
| Semantic image segmentation via deep parsing network Z Liu, X Li, P Luo, CC Loy, X Tang Proceedings of the IEEE international conference on computer vision, 1377-1385, 2015 | 824 | 2015 |
| Sparse r-cnn: End-to-end object detection with learnable proposals P Sun, R Zhang, Y Jiang, T Kong, C Xu, W Zhan, M Tomizuka, L Li, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 807 | 2021 |
| From facial parts responses to face detection: A deep learning approach S Yang, P Luo, CC Loy, X Tang Proceedings of the IEEE international conference on computer vision, 3676-3684, 2015 | 721 | 2015 |
| Two at once: Enhancing learning and generalization capacities via ibn-net X Pan, P Luo, J Shi, X Tang Proceedings of the European Conference on Computer Vision (ECCV), 464-479, 2018 | 670 | 2018 |
| Bytetrack: Multi-object tracking by associating every detection box Y Zhang, P Sun, Y Jiang, D Yu, F Weng, Z Yuan, P Luo, W Liu, X Wang European Conference on Computer Vision, 1-21, 2022 | 624 | 2022 |
| Deep Learning Strong Parts for Pedestrian Detection Y Tian, P Luo, X Wang, X Tang ICCV, 2015 | 598 | 2015 |
| Polarmask: Single shot instance segmentation with polar representation E Xie, P Sun, X Song, W Wang, X Liu, D Liang, C Shen, P Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 552 | 2020 |
| Deepid-net: Deformable deep convolutional neural networks for object detection W Ouyang, X Wang, X Zeng, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 551 | 2015 |
| Deepid-net: Deformable deep convolutional neural networks for object detection W Ouyang, X Wang, X Zeng, S Qiu, P Luo, Y Tian, H Li, S Yang, Z Wang, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 551 | 2015 |
| Pedestrian detection aided by deep learning semantic tasks Y Tian, P Luo, X Wang, X Tang CVPR, 2015 | 498 | 2015 |
Xiaoou TangThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
