| 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 | 497 | 2016 |
| 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 | 369 | 2020 |
| Feature-fused SSD: Fast detection for small objects G Cao, X Xie, W Yang, Q Liao, G Shi, J Wu Ninth international conference on graphic and image processing (ICGIP 2017 …, 2018 | 316 | 2018 |
| Perceptual quality metric with internal generative mechanism J Wu, W Lin, G Shi, A Liu IEEE TRANSACTIONS ON IMAGE PROCESSING 22 (1057-7149), 43-54, 2013 | 283 | 2013 |
| Reduced-reference image quality assessment with visual information fidelity J Wu, W Lin, G Shi, A Liu IEEE Transactions on Multimedia 15 (7), 1700-1705, 2013 | 178 | 2013 |
| 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 | 171 | 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 | 167 | 2017 |
| Just noticeable difference estimation for images with free-energy principle J Wu, G Shi, W Lin, A Liu, F Qi IEEE Transactions on Multimedia 15 (7), 1705-1710, 2013 | 156 | 2013 |
| 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 | 153 | 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 | 149 | 2021 |
| Image sharpness assessment by sparse representation L Li, D Wu, J Wu, H Li, W Lin, AC Kot IEEE Transactions on Multimedia 18 (6), 1085-1097, 2016 | 136 | 2016 |
| No reference quality assessment for screen content images with both local and global feature representation Y Fang, J Yan, L Li, J Wu, W Lin IEEE Transactions on Image Processing 27 (4), 1600-1610, 2017 | 125 | 2017 |
| Orientation selectivity based visual pattern for reduced-reference image quality assessment J Wu, W Lin, G Shi, L Li, Y Fang Information Sciences 351, 18-29, 2016 | 103 | 2016 |
| Blind image quality assessment with active inference J Ma, J Wu, L Li, W Dong, X Xie, G Shi, W Lin IEEE Transactions on Image Processing 30, 3650-3663, 2021 | 95 | 2021 |
| No-reference quality assessment of deblocked images L Li, Y Zhou, W Lin, J Wu, X Zhang, B Chen Neurocomputing 177, 572-584, 2016 | 90 | 2016 |
| RIRNet: Recurrent-in-recurrent network for video quality assessment P Chen, L Li, L Ma, J Wu, G Shi Proceedings of the 28th ACM international conference on multimedia, 834-842, 2020 | 86 | 2020 |
| Pattern Masking Estimation in Image with Structural Uncertainty J Wu, W Lin, G Shi, X Wang, F Li IEEE TIP, 2013 | 76 | 2013 |
| Color-guided depth recovery via joint local structural and nonlocal low-rank regularization W Dong, G Shi, X Li, K Peng, J Wu, Z Guo IEEE Transactions on Multimedia 19 (2), 293-301, 2016 | 75 | 2016 |
| Personalized image aesthetics assessment via meta-learning with bilevel gradient optimization H Zhu, L Li, J Wu, S Zhao, G Ding, G Shi IEEE Transactions on Cybernetics 52 (3), 1798-1811, 2020 | 68 | 2020 |
| Visual orientation selectivity based structure description J Wu, W Lin, G Shi, Y Zhang, W Dong, Z Chen IEEE Transactions on Image Processing 24 (11), 4602-4613, 2015 | 66 | 2015 |
