| 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 | 153 | 2020 |
| Physics-based feature dehazing networks J Dong, J Pan Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 106 | 2020 |
| 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 | 103 | 2023 |
| 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 | 94 | 2020 |
| 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 | 91 | 2017 |
| 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 | 44 | 2021 |
| 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 | 43 | 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 | 41 | 2019 |
| 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 | 41 | 2018 |
| 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 | 35 | 2021 |
| 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 | 33 | 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 | 31 | 2016 |
| 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 | 29 | 2023 |
| Blur kernel estimation via salient edges and low rank prior for blind image deblurring J Dong, J Pan, Z Su Signal Processing: Image Communication 58, 134-145, 2017 | 29 | 2017 |
| Learning spatially-variant MAP models for non-blind image deblurring J Dong, S Roth, B Schiele Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 28 | 2021 |
| 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 | 26 | 2023 |
| Learning spatially variant linear representation models for joint filtering J Dong, J Pan, JS Ren, L Lin, J Tang, MH Yang IEEE transactions on pattern analysis and machine intelligence 44 (11), 8355 …, 2021 | 23 | 2021 |
| NTIRE 2023 video colorization challenge X Kang, X Lin, K Zhang, Z Hui, W Xiang, JY He, X Li, P Ren, X Xie, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Efficient deep models for real-time 4k image super-resolution. NTIRE 2023 benchmark and report MV Conde, E Zamfir, R Timofte, D Motilla, C Liu, Z Zhang, Y Peng, Y Lin, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| 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 | 18 | 2023 |
