| Analyzing the group sparsity based on the rank minimization methods Z Zha, X Liu, X Huang, H Shi, Y Xu, Q Wang, L Tang, X Zhang 2017 IEEE International Conference on Multimedia and Expo (ICME), 883-888, 2017 | 59 | 2017 |
| Nonconvex Weighted Lp Minimization Based Group Sparse Representation Framework for Image Denoising Qiong Wang, Xinggan Zhang, Yu Wu, Lan Tang, Zhiyuan Zha IEEE Signal Processing Letters 24 (11), 1686-1690, 2017 | 39 | 2017 |
| Image denoising via group sparsity residual constraint Z Zha, X Liu, Z Zhou, X Huang, J Shi, Z Shang, L Tang, Y Bai, Q Wang, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 33 | 2017 |
| Compressed sensing image reconstruction via adaptive sparse nonlocal regularization Z Zha, X Liu, X Zhang, Y Chen, L Tang, Y Bai, Q Wang, Z Shang The Visual Computer 34 (1), 117-137, 2018 | 28 | 2018 |
| Non-convex weighted ℓp nuclear norm based ADMM framework for image restoration Z Zha, X Zhang, Y Wu, Q Wang, X Liu, L Tang, X Yuan Neurocomputing 311, 209-224, 2018 | 22 | 2018 |
| Group sparsity residual constraint for image denoising with external nonlocal self-similarity prior Z Zha, X Zhang, Q Wang, Y Bai, Y Chen, L Tang, X Liu Neurocomputing 275, 2294-2306, 2018 | 20 | 2018 |
| Group-based sparse representation for image compressive sensing reconstruction with non-convex regularization Z Zha, X Zhang, Q Wang, L Tang, X Liu Neurocomputing 296, 55-63, 2018 | 19 | 2018 |
| A benchmark for sparse coding: When group sparsity meets rank minimization Z Zha, X Yuan, B Wen, J Zhou, J Zhang, C Zhu IEEE Transactions on Image Processing 29, 5094-5109, 2020 | 13 | 2020 |
| 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 29, 3254-3269, 2019 | 13 | 2019 |
| Analyzing the weighted nuclear norm minimization and nuclear norm minimization based on group sparse representation Z Zha, X Yuan, B Li, X Zhang, X Liu, L Tang, YC Liang arXiv preprint arXiv:1702.04463, 2017 | 13 | 2017 |
| Group Sparsity Residual with Non-Local Samples for Image Denoising Z Zha, X Zhang, Q Wang, Y Bai, L Tang, X Yuan Acoustics, Speech and Signal Processing (ICASSP), 2018 IEEE International …, 2018 | 11 | 2018 |
| Image restoration using joint patch-group-based sparse representation Z Zha, X Yuan, B Wen, J Zhang, J Zhou, C Zhu IEEE Transactions on Image Processing 29, 7735-7750, 2020 | 9 | 2020 |
| Image denoising using group sparsity residual and external nonlocal self-similarity prior Z Zha, X Zhang, Q Wang, Y Bai, L Tang 2017 IEEE International Conference on Image Processing, 2956-2960, 2017 | 7 | 2017 |
| Group sparsity residual constraint for image denoising Z Zha, X Zhang, Q Wang, L Tang, X Liu arXiv preprint arXiv:1703.00297, 2017 | 7 | 2017 |
| Image restoration via simultaneous nonlocal self-similarity priors Z Zha, X Yuan, J Zhou, C Zhu, B Wen IEEE Transactions on Image Processing 29, 8561-8576, 2020 | 6 | 2020 |
| Joint patch-group based sparse representation for image inpainting Z Zha, X Yuan, B Wen, J Zhou, C Zhu Asian Conference on Machine Learning, 145-160, 2018 | 6 | 2018 |
| The power of triply complementary priors for image compressive sensing Z Zha, X Yuan, JT Zhou, J Zhou, B Wen, C Zhu 2020 IEEE International Conference on Image Processing (ICIP), 983-987, 2020 | 3 | 2020 |
| Group Sparsity Residual Constraint With Non-Local Priors for Image Restoration Z Zha, X Yuan, B Wen, J Zhou, C Zhu IEEE Transactions on Image Processing 29, 8960-8975, 2020 | 3 | 2020 |
| Reconciliation of group sparsity and low-rank models for image restoration Z Zha, B Wen, X Yuan, J Zhou, C Zhu 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 3 | 2020 |
| A hybrid structural sparse error model for image deblocking Z Zha, X Yuan, J Zhou, C Zhu, B Wen ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 3 | 2020 |
Xin YuanBell Labs, Duke University, Hong Kong Polytechnic UniversityVerified email at bell-labs.com
