Bihan Wen (文碧汉)
TitleCited byYear
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
1502016
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
1022015
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
682015
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, 2018
622018
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
592018
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
42*2016
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
402015
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
392016
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
262017
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
242017
FRIST—flipping and rotation invariant sparsifying transform learning and applications
B Wen, S Ravishankar, Y Bresler
Inverse Problems 33 (7), 074007, 2017
19*2017
Learning flipping and rotation invariant sparsifying transforms
B Wen, S Ravishankar, Y Bresler
IEEE International Conference on Image Processing (ICIP), 2016, 3857-3861, 2016
122016
Learning overcomplete sparsifying transforms with block cosparsity
B Wen, S Ravishankar, Y Bresler
IEEE International Conference on Image Processing (ICIP), 2014, 803-807, 2014
112014
Connecting image denoising and high-level vision tasks via deep learning
D Liu, B Wen, J Jiao, X Liu, Z Wang, TS Huang
arXiv preprint arXiv:1809.01826, 2018
82018
VIDOSAT: High-dimensional sparsifying transform learning for online video denoising
B Wen, S Ravishankar, Y Bresler
IEEE Transactions on Image Processing 28 (4), 1691-1704, 2019
72019
Online sparsifying transform learning for signal processing
S Ravishankar, B Wen, Y Bresler
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014
72014
The power of complementary regularizers: Image recovery via transform learning and low-rank modeling
B Wen, Y Li, Y Bresler
arXiv preprint arXiv:1808.01316, 2019
62019
Deepcasd: An End-to-End Approach for Multi-Spectral Image Super-Resolution
B Wen, US Kamilov, D Liu, H Mansour, PT Boufounos
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018
52018
Copy-move forgery detection in the presence of similar but genuine objects
Y Zhu, TT Ng, B Wen, X Shen, B Li
IEEE 2nd International Conference on Signal and Image Processing (ICSIP …, 2017
4*2017
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks
B Wen, S Ravishankar, L Pfister, Y Bresler
arXiv preprint arXiv:1903.11431, 2019
32019
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Articles 1–20