| Deep retinex decomposition for low-light enhancement C Wei, W Wang, W Yang, J Liu arXiv preprint arXiv:1808.04560, 2018 | 1782 | 2018 |
| Deep joint rain detection and removal from a single image W Yang, RT Tan, J Feng, J Liu, Z Guo, S Yan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1086 | 2017 |
| Structure-revealing low-light image enhancement via robust retinex model M Li, J Liu, W Yang, X Sun, Z Guo IEEE Transactions on Image Processing 27 (6), 2828-2841, 2018 | 920 | 2018 |
| Attentive generative adversarial network for raindrop removal from a single image R Qian, RT Tan, W Yang, J Su, J Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 688 | 2018 |
| From fidelity to perceptual quality: A semi-supervised approach for low-light image enhancement W Yang, S Wang, Y Fang, Y Wang, J Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 460 | 2020 |
| Joint rain detection and removal from a single image with contextualized deep networks W Yang, RT Tan, J Feng, Z Guo, S Yan, J Liu IEEE transactions on pattern analysis and machine intelligence 42 (6), 1377-1393, 2019 | 341 | 2019 |
| Gladnet: Low-light enhancement network with global awareness W Wang, C Wei, W Yang, J Liu 2018 13th IEEE international conference on automatic face & gesture …, 2018 | 333 | 2018 |
| Uretinex-net: Retinex-based deep unfolding network for low-light image enhancement W Wu, J Weng, P Zhang, X Wang, W Yang, J Jiang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 299 | 2022 |
| Low-light image enhancement with normalizing flow Y Wang, R Wan, W Yang, H Li, LP Chau, A Kot Proceedings of the AAAI conference on artificial intelligence 36 (3), 2604-2612, 2022 | 273 | 2022 |
| LR3M: Robust low-light enhancement via low-rank regularized retinex model X Ren, W Yang, WH Cheng, J Liu IEEE Transactions on Image Processing 29, 5862-5876, 2020 | 268 | 2020 |
| Sparse gradient regularized deep retinex network for robust low-light image enhancement W Yang, W Wang, H Huang, S Wang, J Liu IEEE Transactions on Image Processing 30, 2072-2086, 2021 | 244 | 2021 |
| Deep edge guided recurrent residual learning for image super-resolution W Yang, J Feng, J Yang, F Zhao, J Liu, Z Guo, S Yan IEEE Transactions on Image Processing 26 (12), 5895-5907, 2017 | 239 | 2017 |
| Single image deraining: From model-based to data-driven and beyond W Yang, RT Tan, S Wang, Y Fang, J Liu IEEE Transactions on pattern analysis and machine intelligence 43 (11), 4059 …, 2020 | 230 | 2020 |
| Erase or fill? deep joint recurrent rain removal and reconstruction in videos J Liu, W Yang, S Yang, Z Guo Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 208 | 2018 |
| Video coding for machines: A paradigm of collaborative compression and intelligent analytics L Duan, J Liu, W Yang, T Huang, W Gao IEEE Transactions on Image Processing 29, 8680-8695, 2020 | 200 | 2020 |
| Advancing image understanding in poor visibility environments: A collective benchmark study W Yang, Y Yuan, W Ren, J Liu, WJ Scheirer, Z Wang, T Zhang, Q Zhong, ... IEEE Transactions on Image Processing 29, 5737-5752, 2020 | 198 | 2020 |
| Robust LSTM-autoencoders for face de-occlusion in the wild F Zhao, J Feng, J Zhao, W Yang, S Yan IEEE Transactions on Image Processing 27 (2), 778-790, 2017 | 189 | 2017 |
| Ms2l: Multi-task self-supervised learning for skeleton based action recognition L Lin, S Song, W Yang, J Liu Proceedings of the 28th ACM international conference on multimedia, 2490-2498, 2020 | 169 | 2020 |
| Benchmarking Low-Light Image Enhancement and Beyond J Liu, D Xu, W Yang, M Fan, H Huang International Journal of Computer Vision, 1-32, 2021 | 168 | 2021 |
| Learning end-to-end lossy image compression: A benchmark Y Hu, W Yang, Z Ma, J Liu IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4194-4211, 2021 | 149 | 2021 |
