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Yunjin Chen
Yunjin Chen
Неизвестная организация
Подтвержден адрес электронной почты в домене alibaba-inc.com - Главная страница
Название
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Процитировано
Год
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
90002017
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
22262017
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
14432016
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
5212014
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
4432018
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
3912015
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
1742017
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
1482014
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
1092017
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
832013
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
692018
A bi-level view of inpainting-based image compression
Y Chen, R Ranftl, T Pock
arXiv preprint arXiv:1401.4112, 2014
552014
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
542022
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
472023
Learning -based analysis and synthesis sparsity priors using bi-level optimization
Y Chen, T Pock, H Bischof
arXiv preprint arXiv:1401.4105, 2014
43*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
382022
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
362023
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
362014
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
HyperSOR: Context-aware graph hypernetwork for salient object ranking
M Qiao, M Xu, L Jiang, P Lei, S Wen, Y Chen, L Sigal
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
322024
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