Image super-resolution by learning weighted convolutional sparse coding J He, L Yu, Z Liu, W Yang Signal, Image and Video Processing 15, 967-975, 2021 | 23 | 2021 |
Block-sparsity recovery via recurrent neural network C Lyu, Z Liu, L Yu Signal Processing 154, 129-135, 2019 | 17 | 2019 |
Image denoising via nonlocal low rank approximation with local structure preserving Z Liu, L Yu, H Sun IEEE Access 7, 7117-7132, 2019 | 15 | 2019 |
Image restoration via Bayesian dictionary learning with nonlocal structured beta process Z Liu, L Yu, H Sun Journal of Visual Communication and Image Representation 52, 159-169, 2018 | 15 | 2018 |
Image super-resolution via RL-CSC: when residual learning meets convolutional sparse coding M Zhang, Z Liu, L Yu arXiv preprint arXiv:1812.11950, 2018 | 6 | 2018 |
Robust Intensity Image Reconstruciton Based On Event Cameras M Jiang, Z Liu, B Wang, L Yu, W Yang 2020 IEEE International Conference on Image Processing (ICIP), 968-972, 2020 | 3 | 2020 |
Sparse Bayesian learning for image rectification with transform invariant low-rank textures S Hu, Z Liu, L Yu, H Sun Signal Processing 137, 298-308, 2017 | 3 | 2017 |
Mixed noise removal with Pareto prior Z Liu, L Yu, GS Xia, H Sun arXiv preprint arXiv:2008.11935, 2020 | 2 | 2020 |
Nonlocal structured nonparametric Bayesian dictionary learning for image denoising Z Liu, L Yu, M Zhang, H Sun 2016 IEEE 13th International Conference on Signal Processing (ICSP), 144-148, 2016 | 2 | 2016 |
Learning Cluster Structured Sparsity by Reweighting Y Jiang, L Yu, H Zhang, Z Liu arXiv preprint arXiv:1910.05303, 2019 | 1 | 2019 |
CRNet: Image Super-Resolution Using A Convolutional Sparse Coding Inspired Network M Zhang, Z Liu, L Yu arXiv preprint arXiv:1908.01166, 2019 | 1 | 2019 |