| Video desnowing and deraining based on matrix decomposition W Ren, J Tian, Z Han, A Chan, Y Tang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 131 | 2017 |
| Folded-concave penalization approaches to tensor completion W Cao, Y Wang, C Yang, X Chang, Z Han, Z Xu Neurocomputing 152, 261-273, 2015 | 40 | 2015 |
| Hyperspectral image super-resolution via nonlocal low-rank tensor approximation and total variation regularization Y Wang, X Chen, Z Han, S He Remote Sensing 9 (12), 1286, 2017 | 38 | 2017 |
| Robust tensor factorization with unknown noise X Chen, Z Han, Y Wang, Q Zhao, D Meng, Y Tang proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 32 | 2016 |
| A generalized model for robust tensor factorization with noise modeling by mixture of Gaussians Z Han, Y Wang, Q Zhao, D Meng, L Lin, Y Tang IEEE transactions on neural networks and learning systems 29 (11), 5380-5393, 2018 | 31 | 2018 |
| Pixel-wise orthogonal decomposition for color illumination invariant and shadow-free image L Qu, J Tian, Z Han, Y Tang Optics express 23 (3), 2220-2239, 2015 | 24 | 2015 |
| Super-resolution reconstruction of hyperspectral images via low rank tensor modeling and total variation regularization S He, H Zhou, Y Wang, W Cao, Z Han 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 18 | 2016 |
| On convergence properties of implicit self-paced objective Z Ma, S Liu, D Meng, Y Zhang, SL Lo, Z Han Information Sciences 462, 132-140, 2018 | 17 | 2018 |
| Nonconvex plus quadratic penalized low-rank and sparse decomposition for noisy image alignment X Chen, Z Han, Y Wang, Y Tang, H Yu Science China Information Sciences 59 (5), 1-13, 2016 | 15 | 2016 |
| Tensor rpca by bayesian cp factorization with complex noise Q Luo, Z Han, X Chen, Y Wang, D Meng, D Liang, Y Tang Proceedings of the IEEE International Conference on Computer Vision, 5019-5028, 2017 | 14 | 2017 |
| Incremental alignment manifold learning Z Han, DY Meng, ZB Xu, NN Gu Journal of Computer Science and Technology 26 (1), 153-165, 2011 | 14 | 2011 |
| Snowflake removal for videos via global and local low-rank decomposition J Tian, Z Han, W Ren, X Chen, Y Tang IEEE Transactions on Multimedia 20 (10), 2659-2669, 2018 | 11 | 2018 |
| Video primal sketch: A generic middle-level representation of video Z Han, Z Xu, SC Zhu 2011 International Conference on Computer Vision, 1283-1290, 2011 | 11 | 2011 |
| Depth selection for deep relu nets in feature extraction and generalization Z Han, S Yu, SB Lin, DX Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 9 | 2020 |
| Simple and effective calculations about spectral power distributions of outdoor light sources for computer vision J Tian, Z Duan, W Ren, Z Han, Y Tang Optics express 24 (7), 7266-7286, 2016 | 9 | 2016 |
| Video primal sketch: A unified middle-level representation for video Z Han, Z Xu, SC Zhu Journal of Mathematical Imaging and Vision 53 (2), 151-170, 2015 | 9 | 2015 |
| A general model for robust tensor factorization with unknown noise X Chen, Z Han, Y Wang, Q Zhao, D Meng, L Lin, Y Tang arXiv preprint arXiv:1705.06755, 2017 | 8 | 2017 |
| Saliency-based diver target detection and localization method J Zhu, S Yu, L Gao, Z Han, Y Tang Mathematical Problems in Engineering 2020, 2020 | 4 | 2020 |
| Mine like object detection and recognition based on intrackability and improved BOW S Yu, J Shao, Z Han, L Gao, Y Lin, Y Tang, C Wu 2016 IEEE International Conference on Cyber Technology in Automation …, 2016 | 4 | 2016 |
| Multilinear multitask learning by rank-product regularization Q Zhao, X Rui, Z Han, D Meng IEEE transactions on neural networks and learning systems 31 (4), 1336-1350, 2019 | 3 | 2019 |
