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 | 511 | 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 | 392 | 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 | 321 | 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 | 288 | 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 | 179 | 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 | 175 | 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 | 174 | 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 | 169 | 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 | 158 | 2021 |
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 | 158 | 2013 |
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 | 137 | 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 | 128 | 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 | 105 | 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 | 94 | 2021 |
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 | 92 | 2020 |
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 |
Pattern Masking Estimation in Image with Structural Uncertainty J Wu, W Lin, G Shi, X Wang, F Li IEEE TIP, 2013 | 77 | 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 | 74 | 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 | 72 | 2020 |
Uncertainty-driven loss for single image super-resolution Q Ning, W Dong, X Li, J Wu, G Shi Advances in Neural Information Processing Systems 34, 16398-16409, 2021 | 68 | 2021 |