| 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 | 5937 | 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 | 1253 | 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 | 1128 | 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 | 423 | 2014 |
| 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 | 345 | 2015 |
| 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 | 303 | 2018 |
| 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 | 132 | 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 | 123 | 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 | 86 | 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 | 76 | 2013 |
| A bi-level view of inpainting-based image compression Y Chen, R Ranftl, T Pock arXiv preprint arXiv:1401.4112, 2014 | 47 | 2014 |
| 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 | 36 | 2018 |
| Learning -based analysis and synthesis sparsity priors using bi-level optimization Y Chen, T Pock, H Bischof arXiv preprint arXiv:1401.4105, 2014 | 35 | 2014 |
| 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 | 32 | 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 | 28* | 2017 |
| 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 | 24 | 2022 |
| 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 | 23 | 2017 |
| 基于 SURF 的序列图像快速拼接方法 杨云涛， 冯莹， 曹毓， 陈运锦 计算机技术与发展 21 (3), 6-9, 2011 | 15 | 2011 |
| Non-stationary speckle reduction in high resolution SAR images Z Xu, Q Shi, Y Chen, W Feng, Y Shao, L Sun, X Huang Digital Signal Processing 73, 72-82, 2018 | 14 | 2018 |
| 光斑质心亚像素定位误差的实验研究 陈运锦， 冯莹， 魏立安， 赵辉， 朱志武 光电工程 37 (2), 80-84, 2010 | 14 | 2010 |
Thomas PockProfessor of Computer Science, TU GrazVerified email at icg.tugraz.at
