| Deep Learning Face Attributes in the Wild Z Liu, P Luo, X Wang, X Tang ICCV, 2015 | 3384 | 2015 |
| Facial landmark detection by deep multi-task learning Z Zhang, P Luo, CC Loy, X Tang European conference on computer vision, 94-108, 2014 | 1115 | 2014 |
| 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 | 841 | 2016 |
| 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 | 814 | 2016 |
| 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 | 575 | 2015 |
| 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 | 561 | 2015 |
| 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 | 530 | 2015 |
| Deep Learning Strong Parts for Pedestrian Detection Y Tian, P Luo, X Wang, X Tang ICCV, 2015 | 400 | 2015 |
| Pedestrian detection aided by deep learning semantic tasks Y Tian, P Luo, X Wang, X Tang CVPR, 2015 | 395 | 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 | 388 | 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 | 388 | 2015 |
| Learning deep representation for face alignment with auxiliary attributes Z Zhang, P Luo, CC Loy, X Tang IEEE transactions on pattern analysis and machine intelligence 38 (5), 918-930, 2015 | 351 | 2015 |
| Deep learning identity-preserving face space Z Zhu, P Luo, X Wang, X Tang Proceedings of the IEEE International Conference on Computer Vision, 113-120, 2013 | 340 | 2013 |
| Switchable deep network for pedestrian detection P Luo, Y Tian, X Wang, X Tang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 269 | 2014 |
| Pedestrian attribute recognition at far distance Y Deng, P Luo, CC Loy, X Tang Proceedings of the 22nd ACM international conference on Multimedia, 789-792, 2014 | 252 | 2014 |
| Pedestrian attribute recognition at far distance Y Deng, P Luo, CC Loy, X Tang Proceedings of the 22nd ACM international conference on Multimedia, 789-792, 2014 | 252 | 2014 |
| Multi-view perceptron: a deep model for learning face identity and view representations Z Zhu, P Luo, X Wang, X Tang Advances in Neural Information Processing Systems, 217-225, 2014 | 230 | 2014 |
| Multi-view perceptron: a deep model for learning face identity and view representations Z Zhu, P Luo, X Wang, X Tang Advances in Neural Information Processing Systems, 217-225, 2014 | 230 | 2014 |
| Hierarchical face parsing via deep learning P Luo, X Wang, X Tang 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2480-2487, 2012 | 215 | 2012 |
| 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 | 204 | 2018 |
Xiaoou TangThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
