Bihan Wen (文碧汉)
Title
Cited by
Cited by
Year
Robust single image super-resolution via deep networks with sparse prior
D Liu, Z Wang, B Wen, J Yang, W Han, TS Huang
IEEE Transactions on Image Processing (TIP) 25 (7), 3194-3207, 2016
1752016
Non-Local Recurrent Network for Image Restoration
D Liu, B Wen, Y Fan, CC Loy, TS Huang
Advances in Neural Information Processing Systems (NeurIPS), 2018, 1673-1682, 2018
1322018
Structured overcomplete sparsifying transform learning with convergence guarantees and applications
B Wen, S Ravishankar, Y Bresler
International Journal of Computer Vision (IJCV) 114 (2-3), 137-167, 2015
1182015
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach
D Liu, B Wen, X Liu, Z Wang, TS Huang
International Joint Conference on Artificial Intelligence (IJCAI), 842-848, 2018
842018
Online sparsifying transform learning—Part I: Algorithms
S Ravishankar, B Wen, Y Bresler
IEEE Journal of Selected Topics in Sig. Proc. (JSTSP) 9 (4), 625-636, 2015
762015
COVERAGE—A novel database for copy-move forgery detection
B Wen, Y Zhu, R Subramanian, TT Ng, X Shen, S Winkler
IEEE International Conference on Image Processing (ICIP), 2016, 161-165, 2016
562016
Video denoising by online 3D sparsifying transform learning
B Wen, S Ravishankar, Y Bresler
IEEE International Conference on Image Processing (ICIP), 2015, 118-122, 2015
462015
When sparsity meets low-rankness: transform learning with non-local low-rank constraint for image restoration
B Wen, Y Li, Y Bresler
IEEE Int. Conf. Acoustics, Speech and Sig. Proc. (ICASSP), 2017, 2297-2301, 2017
352017
Ground-based image analysis: A tutorial on machine-learning techniques and applications
S Dev, B Wen, YH Lee, S Winkler
IEEE Geoscience and Remote Sensing Magazine 4 (2), 79-93, 2016
342016
Joint adaptive sparsity and low-rankness on the fly: an online tensor reconstruction scheme for video denoising
B Wen, Y Li, L Pfister, Y Bresler
IEEE International Conference on Computer Vision (ICCV), 241-250, 2017
282017
FRIST—Flipping and rotation invariant sparsifying transform learning and applications
B Wen, S Ravishankar, Y Bresler
Inverse Problems 33 (7), 074007, 2017
262017
Machine learning techniques and applications for ground-based image analysis
S Dev, B Wen, YH Lee, S Winkler
arXiv preprint arXiv:1606.02811, 2016
172016
VIDOSAT: High-dimensional sparsifying transform learning for online video denoising
B Wen, S Ravishankar, Y Bresler
IEEE Transactions on Image Processing (TIP) 28 (4), 1691-1704, 2019
152019
Learning flipping and rotation invariant sparsifying transforms
B Wen, S Ravishankar, Y Bresler
IEEE International Conference on Image Processing (ICIP), 2016, 3857-3861, 2016
152016
Learning overcomplete sparsifying transforms with block cosparsity
B Wen, S Ravishankar, Y Bresler
IEEE International Conference on Image Processing (ICIP), 2014, 803-807, 2014
152014
Connecting image denoising and high-level vision tasks via deep learning
D Liu, B Wen, J Jiao, X Liu, Z Wang, TS Huang
IEEE Transactions on Image Processing (TIP) 29, 3695-3706, 2020
142020
Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers
B Wen, Y Li, Y Bresler
IEEE Transactions on Image Processing (TIP) 29, 5310 - 5323, 2020
11*2020
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks
B Wen, S Ravishankar, L Pfister, Y Bresler
IEEE Signal Processing Magazine (SPM) 37 (1), 41-53, 2020
102020
Online sparsifying transform learning for signal processing
S Ravishankar, B Wen, Y Bresler
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014
102014
From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration
Z Zha, X Yuan, B Wen, J Zhou, J Zhang, C Zhu
IEEE Transactions on Image Processing (TIP) 29, 3254 - 3269, 2019
82019
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Articles 1–20