| Deep learning for single image super-resolution: A brief review W Yang, X Zhang, Y Tian, W Wang, JH Xue, Q Liao IEEE Transactions on Multimedia 21 (12), 3106-3121, 2019 | 1003 | 2019 |
| Lightweight feature fusion network for single image super-resolution W Yang, W Wang, X Zhang, S Sun, Q Liao IEEE Signal Processing Letters 26 (4), 538-542, 2019 | 62 | 2019 |
| Cfsnet: Toward a controllable feature space for image restoration W Wang, R Guo, Y Tian, W Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 62 | 2019 |
| Unsupervised real-world super-resolution: A domain adaptation perspective W Wang, H Zhang, Z Yuan, C Wang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 42 | 2021 |
| Content-variant reference image quality assessment via knowledge distillation G Yin, W Wang, Z Yuan, C Han, W Ji, S Sun, C Wang Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3134-3142, 2022 | 25 | 2022 |
| LCSCNet: Linear compressing-based skip-connecting network for image super-resolution W Yang, X Zhang, Y Tian, W Wang, JH Xue, Q Liao IEEE Transactions on Image Processing 29, 1450-1464, 2019 | 22 | 2019 |
| Er-iqa: Boosting perceptual quality assessment using external reference images J Guo, W Wang, W Yang, Q Liao, J Zhou arXiv preprint arXiv:2105.02464, 2021 | 2 | 2021 |
| Conditional meta-network for blind super-resolution with multiple degradations G Yin, W Wang, Z Yuan, W Ji, D Yu, S Sun, TS Chua, C Wang arXiv e-prints, arXiv: 2104.03926, 2021 | 1 | 2021 |
| Subjective Opinions Matter: Controllable Image Quality Assessment Using Pseudo Reference Images J Guo, W Wang, W Yang, Q Liao, J Zhou arXiv e-prints, arXiv: 2105.02464, 2021 | | 2021 |
| A Universal Fusion Strategy for Image Super-Resolution Jointly from External and Internal Examples W Wang, X Shang, W Yang, C Zhang, Q Liao Image and Graphics: 10th International Conference, ICIG 2019, Beijing, China …, 2019 | | 2019 |
