| Physics-based generative adversarial models for image restoration and beyond J Pan, J Dong, Y Liu, J Zhang, J Ren, J Tang, YW Tai, MH Yang IEEE transactions on pattern analysis and machine intelligence 43 (7), 2449-2462, 2020 | 186 | 2020 |
| Efficient frequency domain-based transformers for high-quality image deblurring L Kong, J Dong, J Ge, M Li, J Pan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 156 | 2023 |
| NTIRE 2023 challenge on efficient super-resolution: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, L Yu, Y Li, X Li, T Jiang, Q Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 143 | 2023 |
| Physics-based feature dehazing networks J Dong, J Pan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 140 | 2020 |
| Deep wiener deconvolution: Wiener meets deep learning for image deblurring J Dong, S Roth, B Schiele Advances in Neural Information Processing Systems 33, 1048-1059, 2020 | 136 | 2020 |
| Spatially-adaptive feature modulation for efficient image super-resolution L Sun, J Dong, J Tang, J Pan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 106 | 2023 |
| Blind image deblurring with outlier handling J Dong, J Pan, Z Su, MH Yang Proceedings of the IEEE International Conference on Computer Vision, 2478-2486, 2017 | 106 | 2017 |
| NTIRE 2023 challenge on stereo image super-resolution: Methods and results L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte, M Cheng, H Ma, Q Ma, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 81 | 2023 |
| Deep blind video super-resolution J Pan, H Bai, J Dong, J Zhang, J Tang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 61 | 2021 |
| DWDN: Deep Wiener deconvolution network for non-blind image deblurring J Dong, S Roth, B Schiele IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9960 …, 2021 | 60 | 2021 |
| NTIRE 2024 image shadow removal challenge report FA Vasluianu, T Seizinger, Z Zhou, Z Wu, C Chen, R Timofte, W Dong, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 56 | 2024 |
| Dlgsanet: lightweight dynamic local and global self-attention networks for image super-resolution X Li, J Dong, J Tang, J Pan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 53 | 2023 |
| Spatially variant linear representation models for joint filtering J Pan, J Dong, JS Ren, L Lin, J Tang, MH Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 50 | 2019 |
| Promptrestorer: A prompting image restoration method with degradation perception C Wang, J Pan, W Wang, J Dong, M Wang, Y Ju, J Chen Advances in Neural Information Processing Systems 36, 8898-8912, 2023 | 49 | 2023 |
| NTIRE 2023 challenge on image denoising: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, Z Tu, K Du, H Wang, H Chen, W Li, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 47 | 2023 |
| Learning data terms for non-blind deblurring J Dong, J Pan, D Sun, Z Su, MH Yang Proceedings of the European Conference on Computer Vision (ECCV), 748-763, 2018 | 45 | 2018 |
| Selfpromer: Self-prompt dehazing transformers with depth-consistency C Wang, J Pan, W Lin, J Dong, W Wang, XM Wu Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5327-5335, 2024 | 38 | 2024 |
| Learning discriminative data fitting functions for blind image deblurring J Pan, J Dong, YW Tai, Z Su, MH Yang Proceedings of the IEEE International Conference on Computer Vision, 1068-1076, 2017 | 36 | 2017 |
| Subspace segmentation by dense block and sparse representation K Tang, DB Dunson, Z Su, R Liu, J Zhang, J Dong Neural Networks 75, 66-76, 2016 | 34 | 2016 |
| Multi-scale residual low-pass filter network for image deblurring J Dong, J Pan, Z Yang, J Tang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 33 | 2023 |
