| Deep Learning Face Attributes in the Wild Z Liu, P Luo, X Wang, X Tang ICCV, 2015 | 2073 | 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 | 840 | 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 | 492 | 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 | 465 | 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 | 421 | 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 | 390 | 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 | 385 | 2015 |
| Pedestrian detection aided by deep learning semantic tasks Y Tian, P Luo, X Wang, X Tang CVPR, 2015 | 304 | 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 | 300 | 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 | 300 | 2015 |
| Deep Learning Strong Parts for Pedestrian Detection Y Tian, P Luo, X Wang, X Tang ICCV, 2015 | 296 | 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 | 273 | 2013 |
| 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 | 261 | 2015 |
| 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 | 231 | 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 | 181 | 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 | 181 | 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 | 179 | 2012 |
| 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 | 177 | 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 | 177 | 2014 |
| Pedestrian parsing via deep decompositional network P Luo, X Wang, X Tang Proceedings of the IEEE international conference on computer vision, 2648-2655, 2013 | 136 | 2013 |
Xiaoou TangThe Chinese University of Hong Kong在 ie.cuhk.edu.hk 的电子邮件经过验证
