| Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising K Zhang, W Zuo, Y Chen, D Meng, L Zhang IEEE transactions on image processing 26 (7), 3142-3155, 2017 | 8683 | 2017 |
| Ntire 2017 challenge on single image super-resolution: Methods and results R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 2131 | 2017 |
| Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration Y Chen, T Pock IEEE transactions on pattern analysis and machine intelligence 39 (6), 1256-1272, 2016 | 1413 | 2016 |
| iPiano: Inertial proximal algorithm for nonconvex optimization P Ochs, Y Chen, T Brox, T Pock SIAM Journal on Imaging Sciences 7 (2), 1388-1419, 2014 | 509 | 2014 |
| LEARN: Learned experts’ assessment-based reconstruction network for sparse-data CT H Chen, Y Zhang, Y Chen, J Zhang, W Zhang, H Sun, Y Lv, P Liao, J Zhou, ... IEEE transactions on medical imaging 37 (6), 1333-1347, 2018 | 430 | 2018 |
| On learning optimized reaction diffusion processes for effective image restoration Y Chen, W Yu, T Pock Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 382 | 2015 |
| Hyperspectral image restoration using low-rank tensor recovery H Fan, Y Chen, Y Guo, H Zhang, G Kuang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 170 | 2017 |
| Insights into analysis operator learning: From patch-based sparse models to higher order MRFs Y Chen, R Ranftl, T Pock IEEE Transactions on Image Processing 23 (3), 1060-1072, 2014 | 144 | 2014 |
| Learning dynamic guidance for depth image enhancement S Gu, W Zuo, S Guo, Y Chen, C Chen, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 105 | 2017 |
| Revisiting loss-specific training of filter-based MRFs for image restoration Y Chen, T Pock, R Ranftl, H Bischof Pattern Recognition: 35th German Conference, GCPR 2013, Saarbrücken, Germany …, 2013 | 82 | 2013 |
| Real-time denoising of Brillouin optical time domain analyzer with high data fidelity using convolutional neural networks H Wu, Y Wan, M Tang, Y Chen, C Zhao, R Liao, Y Chang, S Fu, PP Shum, ... Journal of Lightwave Technology 37 (11), 2648-2653, 2018 | 65 | 2018 |
| A bi-level view of inpainting-based image compression Y Chen, R Ranftl, T Pock arXiv preprint arXiv:1401.4112, 2014 | 55 | 2014 |
| Semi-supervised image deraining using knowledge distillation X Cui, C Wang, D Ren, Y Chen, P Zhu IEEE Transactions on Circuits and Systems for Video Technology 32 (12), 8327 …, 2022 | 48 | 2022 |
| 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 | 42 | 2023 |
| Learning -based analysis and synthesis sparsity priors using bi-level optimization Y Chen, T Pock, H Bischof arXiv preprint arXiv:1401.4105, 2014 | 42* | 2014 |
| NTIRE 2022 challenge on super-resolution and quality enhancement of compressed video: Dataset, methods and results R Yang, R Timofte, M Zheng, Q Xing, M Qiao, M Xu, L Jiang, H Liu, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 37 | 2022 |
| A higher-order MRF based variational model for multiplicative noise reduction Y Chen, W Feng, R Ranftl, H Qiao, T Pock IEEE signal processing letters 21 (11), 1370-1374, 2014 | 36 | 2014 |
| Fast and accurate poisson denoising with trainable nonlinear diffusion W Feng, P Qiao, Y Chen IEEE Transactions on Cybernetics 48 (6), 1708-1719, 2017 | 34* | 2017 |
| Ntire 2023 challenge on 360deg omnidirectional image and video super-resolution: Datasets, methods and results M Cao, C Mou, F Yu, X Wang, Y Zheng, J Zhang, C Dong, G Li, Y Shan, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 31 | 2023 |
| Learning non-local image diffusion for image denoising P Qiao, Y Dou, W Feng, R Li, Y Chen Proceedings of the 25th ACM international conference on Multimedia, 1847-1855, 2017 | 28 | 2017 |
Thomas PockProfessor of Computer Science, TU GrazE-mailová adresa ověřena na: icg.tugraz.at
