Yunjin CHEN
Yunjin CHEN
Alibaba Cloud
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
Revisiting loss-specific training of filter-based MRFs for image restoration
Y Chen, T Pock, R Ranftl, H Bischof
German Conference on Pattern Recognition, 271-281, 2013
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
A bi-level view of inpainting-based image compression
Y Chen, R Ranftl, T Pock
arXiv preprint arXiv:1401.4112, 2014
Learning -based analysis and synthesis sparsity priors using bi-level optimization
Y Chen, T Pock, H Bischof
arXiv preprint arXiv:1401.4105, 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
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
Fast and accurate Poisson denoising with trainable nonlinear diffusion
W Feng, P Qiao, Y Chen
IEEE transactions on cybernetics 48 (6), 1708-1719, 2017
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, 2019
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
陈运锦, 冯莹, 魏立安, 赵辉, 朱志武
光电工程, 80-84, 2010
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
Correlation Filter Tracking: Beyond an Open-loop System.
Q Hu, Y Guo, Y Chen, J Xiao, W An
BMVC, 2017
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