| Nonlocally Centralized Sparse Representation for Image Restoration W Dong, L Zhang, G Shi, X Li IEEE Trans. on Image Processing 22 (4), 1620-1630, 2013 | 1639 | 2013 |
| Image deblurring and super-resolution by adaptive sparse domain selection and adaptive regularization W Dong, L Zhang, G Shi, X Wu IEEE Transactions on image processing 20 (7), 1838-1857, 2011 | 1547 | 2011 |
| Two-stage image denoising by principal component analysis with local pixel grouping L Zhang, W Dong, D Zhang, G Shi Pattern recognition 43 (4), 1531-1549, 2010 | 855 | 2010 |
| Nonlocal Image Restoration with Bilateral Variance Estimation: a Low-rank Approach W Dong, G Shi, X Li IEEE Trans. on Image Processing 22 (2), 700-711, 2013 | 733 | 2013 |
| Sparsity-based image denoising via dictionary learning and structural clustering W Dong, X Li, L Zhang, G Shi CVPR 2011, 457-464, 2011 | 617 | 2011 |
| Compressive sensing via nonlocal low-rank regularization W Dong, G Shi, X Li, Y Ma, F Huang IEEE transactions on image processing 23 (8), 3618-3632, 2014 | 594 | 2014 |
| Hyperspectral image super-resolution via non-negative structured sparse representation W Dong, F Fu, G Shi, X Cao, J Wu, G Li, X Li IEEE Transactions on Image Processing 25 (5), 2337-2352, 2016 | 467 | 2016 |
| Sparse Representation based Image Interpolation with Nonlocal Autoregressive Modeling W Dong, L Zhang, R Lukac, G Shi IEEE Trans. on Image Processing 22 (4), 1382-1394, 2013 | 437 | 2013 |
| Denoising prior driven deep neural network for image restoration W Dong, P Wang, W Yin, G Shi, F Wu, X Lu IEEE transactions on pattern analysis and machine intelligence 41 (10), 2305 …, 2018 | 427 | 2018 |
| Centralized sparse representation for image restoration W Dong, L Zhang, G Shi 2011 International Conference on Computer Vision, 1259-1266, 2011 | 311 | 2011 |
| MetaIQA: Deep meta-learning for no-reference image quality assessment H Zhu, L Li, J Wu, W Dong, G Shi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 304 | 2020 |
| Image restoration via simultaneous sparse coding: Where structured sparsity meets Gaussian scale mixture W Dong, G Shi, Y Ma, X Li International Journal of Computer Vision 114, 217-232, 2015 | 202 | 2015 |
| Nonlocal back-projection for adaptive image enlargement W Dong, L Zhang, G Shi, X Wu 2009 16th IEEE International Conference on Image Processing (ICIP), 349-352, 2009 | 186 | 2009 |
| End-to-end blind image quality prediction with cascaded deep neural network J Wu, J Ma, F Liang, W Dong, G Shi, W Lin IEEE Transactions on image processing 29, 7414-7426, 2020 | 158 | 2020 |
| Enhanced just noticeable difference model for images with pattern complexity J Wu, L Li, W Dong, G Shi, W Lin, CCJ Kuo IEEE Transactions on Image Processing 26 (6), 2682-2693, 2017 | 157 | 2017 |
| Mixed noise removal via Laplacian scale mixture modeling and nonlocal low-rank approximation T Huang, W Dong, X Xie, G Shi, X Bai IEEE Transactions on Image Processing 26 (7), 3171-3186, 2017 | 144 | 2017 |
| Model-guided deep hyperspectral image super-resolution W Dong, C Zhou, F Wu, J Wu, G Shi, X Li IEEE Transactions on Image Processing 30, 5754-5768, 2021 | 118 | 2021 |
| Deep gaussian scale mixture prior for spectral compressive imaging T Huang, W Dong, X Yuan, J Wu, G Shi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 114 | 2021 |
| Deep spatial–spectral representation learning for hyperspectral image denoising W Dong, H Wang, F Wu, G Shi, X Li IEEE Transactions on Computational Imaging 5 (4), 635-648, 2019 | 105 | 2019 |
| Image reconstruction with locally adaptive sparsity and nonlocal robust regularization W Dong, G Shi, X Li, L Zhang, X Wu Signal Processing: Image Communication 27 (10), 1109-1122, 2012 | 95 | 2012 |
Guangming ShiSchool of Electronic Engineering, Xidian University, China; Peng Cheng LaboratoryVerified email at xidian.edu.cn
