| Sparse representation or collaborative representation: Which helps face recognition? L Zhang, M Yang, X Feng 2011 International conference on computer vision, 471-478, 2011 | 2460 | 2011 |
| Weighted nuclear norm minimization with application to image denoising S Gu, L Zhang, W Zuo, X Feng Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 2272 | 2014 |
| Fisher discrimination dictionary learning for sparse representation M Yang, L Zhang, X Feng, D Zhang 2011 international conference on computer vision, 543-550, 2011 | 1184 | 2011 |
| Weighted nuclear norm minimization and its applications to low level vision S Gu, Q Xie, D Meng, W Zuo, X Feng, L Zhang International journal of computer vision 121, 183-208, 2017 | 769 | 2017 |
| Blind image quality assessment using joint statistics of gradient magnitude and Laplacian features W Xue, X Mou, L Zhang, AC Bovik, X Feng IEEE Transactions on Image Processing 23 (11), 4850-4862, 2014 | 627 | 2014 |
| Fractional-order anisotropic diffusion for image denoising J Bai, XC Feng IEEE transactions on image processing 16 (10), 2492-2502, 2007 | 593 | 2007 |
| Sparse representation based fisher discrimination dictionary learning for image classification M Yang, L Zhang, X Feng, D Zhang International Journal of Computer Vision 109, 209-232, 2014 | 544 | 2014 |
| Patch group based nonlocal self-similarity prior learning for image denoising J Xu, L Zhang, W Zuo, D Zhang, X Feng Proceedings of the IEEE international conference on computer vision, 244-252, 2015 | 440 | 2015 |
| Convolutional sparse coding for image super-resolution S Gu, W Zuo, Q Xie, D Meng, X Feng, L Zhang Proceedings of the IEEE International Conference on Computer Vision, 1823-1831, 2015 | 410 | 2015 |
| A generalized iterated shrinkage algorithm for non-convex sparse coding W Zuo, D Meng, L Zhang, X Feng, D Zhang Proceedings of the IEEE international conference on computer vision, 217-224, 2013 | 390 | 2013 |
| Projective dictionary pair learning for pattern classification S Gu, L Zhang, W Zuo, X Feng Advances in neural information processing systems 27, 2014 | 374 | 2014 |
| Multi-channel weighted nuclear norm minimization for real color image denoising J Xu, L Zhang, D Zhang, X Feng Proceedings of the IEEE international conference on computer vision, 1096-1104, 2017 | 318 | 2017 |
| A probabilistic collaborative representation based approach for pattern classification S Cai, L Zhang, W Zuo, X Feng Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 314 | 2016 |
| Collaborative representation based classification for face recognition L Zhang, M Yang, X Feng, Y Ma, D Zhang arXiv preprint arXiv:1204.2358, 2012 | 262 | 2012 |
| Cross-domain visual matching via generalized similarity measure and feature learning L Lin, G Wang, W Zuo, X Feng, L Zhang IEEE transactions on pattern analysis and machine intelligence 39 (6), 1089-1102, 2016 | 170 | 2016 |
| Edge strength similarity for image quality assessment X Zhang, X Feng, W Wang, W Xue IEEE Signal processing letters 20 (4), 319-322, 2013 | 169 | 2013 |
| Focnet: A fractional optimal control network for image denoising X Jia, S Liu, X Feng, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 147 | 2019 |
| Support vector guided dictionary learning S Cai, W Zuo, L Zhang, X Feng, P Wang Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 138 | 2014 |
| Variational models for fusion and denoising of multifocus images WW Wang, PL Shui, XC Feng IEEE Signal Processing Letters 15, 65-68, 2008 | 75 | 2008 |
| Two-direction nonlocal model for image denoising X Zhang, X Feng, W Wang IEEE Transactions on Image Processing 22 (1), 408-412, 2012 | 65 | 2012 |
