| 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 | 3817 | 2010 |
| Guided image filtering K He, J Sun, X Tang IEEE transactions on pattern analysis and machine intelligence 35 (6), 1397-1409, 2012 | 2833 | 2012 |
| 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 | 2633 | 2015 |
| 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 | 2452 | 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 | 2073 | 2015 |
| Learning a deep convolutional network for image super-resolution C Dong, CC Loy, K He, X Tang European conference on computer vision, 184-199, 2014 | 1999 | 2014 |
| Guided image filtering K He, J Sun, X Tang European conference on computer vision, 1-14, 2010 | 1704 | 2010 |
| 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 | 1506 | 2015 |
| Deep learning face representation by joint identification-verification Y Sun, Y Chen, X Wang, X Tang Advances in neural information processing systems, 1988-1996, 2014 | 1449 | 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 | 1399 | 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 | 1210 | 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 | 1057 | 2013 |
| Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval D Tao, X Tang, X Li, X Wu IEEE transactions on pattern analysis and machine intelligence 28 (7), 1088-1099, 2006 | 902 | 2006 |
| 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 |
| 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 | 838 | 2015 |
| Accelerating the super-resolution convolutional neural network C Dong, CC Loy, X Tang European conference on computer vision, 391-407, 2016 | 764 | 2016 |
| Face photo-sketch synthesis and recognition X Wang, X Tang IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (11), 1955 …, 2008 | 661 | 2008 |
| 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 | 650 | 2015 |
| 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 | 643 | 2017 |
| The design of high-level features for photo quality assessment Y Ke, X Tang, F Jing 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 637 | 2006 |
Xiaogang WangAssociate Professor of Electronic Engineering, the Chinese University of Hong Kong在 ee.cuhk.edu.hk 的電子郵件地址已通過驗證
