| Image super-resolution using deep convolutional networks C Dong, CC Loy, K He, X Tang IEEE transactions on pattern analysis and machine intelligence 38 (2), 295-307, 2015 | 9517 | 2015 |
| Single image haze removal using dark channel prior K He, J Sun, X Tang IEEE transactions on pattern analysis and machine intelligence 33 (12), 2341 …, 2010 | 8996 | 2010 |
| Deep learning face attributes in the wild Z Liu, P Luo, X Wang, X Tang Proceedings of the IEEE international conference on computer vision, 3730-3738, 2015 | 8704 | 2015 |
| Guided image filtering K He, J Sun, X Tang IEEE transactions on pattern analysis and machine intelligence 35 (6), 1397-1409, 2012 | 8077 | 2012 |
| 3d shapenets: A deep representation for volumetric shapes Z Wu, S Song, A Khosla, F Yu, L Zhang, X Tang, J Xiao Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 6190 | 2015 |
| Learning a deep convolutional network for image super-resolution C Dong, CC Loy, K He, X Tang Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 6061 | 2014 |
| Temporal segment networks: Towards good practices for deep action recognition L Wang, Y Xiong, Z Wang, Y Qiao, D Lin, X Tang, L Van Gool European conference on computer vision, 20-36, 2016 | 4361 | 2016 |
| Esrgan: Enhanced super-resolution generative adversarial networks X Wang, K Yu, S Wu, J Gu, Y Liu, C Dong, Y Qiao, C Change Loy Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018 | 4157 | 2018 |
| Residual attention network for image classification F Wang, M Jiang, C Qian, S Yang, C Li, H Zhang, X Wang, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 4149 | 2017 |
| Action recognition with trajectory-pooled deep-convolutional descriptors L Wang, Y Qiao, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 3955 | 2015 |
| Accelerating the super-resolution convolutional neural network C Dong, CC Loy, X Tang Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 3615 | 2016 |
| Learning to detect a salient object T Liu, Z Yuan, J Sun, J Wang, N Zheng, X Tang, HY Shum IEEE Transactions on Pattern analysis and machine intelligence 33 (2), 353-367, 2010 | 3226 | 2010 |
| Deep learning face representation by joint identification-verification Y Sun, Y Chen, X Wang, X Tang Advances in neural information processing systems 27, 2014 | 2809 | 2014 |
| Deep learning face representation from predicting 10,000 classes Y Sun, X Wang, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 2525 | 2014 |
| 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 | 2099 | 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 | 2015 | 2016 |
| Deep convolutional network cascade for facial point detection Y Sun, X Wang, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 1797 | 2013 |
| 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 | 1748 | 2014 |
| Deepid3: Face recognition with very deep neural networks Y Sun, D Liang, X Wang, X Tang arXiv preprint arXiv:1502.00873, 2015 | 1192 | 2015 |
| Deeply learned face representations are sparse, selective, and robust Y Sun, X Wang, X Tang Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1189 | 2015 |
Xiaogang WangProfessor of Electronic Engineering, the Chinese University of Hong Kong
