| 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 | 36 | 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 | 22 | 2015 |
| 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 | 17 | 2016 |
| 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 | 14 | 2015 |
| 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 |
| 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 | 10 | 2011 |
| 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 | 8 | 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), 052107, 2016 | 7 | 2016 |
| 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 | 6 | 2017 |
| 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 | 6 | 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 | 5 | 2016 |
| 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 | 5 | 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 | 4 | 2018 |
| 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 | 3 | 2017 |
| 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 | 2 | 2018 |
| Active trace: A sparse spatiotemporal representation for videos Z Han, G Shen, S Yu, N Ding, J Tian, Y Tang IEEE Access 5, 22433-22442, 2017 | 2 | 2017 |
| 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 | 2 | 2017 |
| 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 | 2 | 2016 |
| A New Intrinsic-Lighting Color Space for Daytime Outdoor Images Z Han, J Tian, L Qu, Y Tang IEEE Transactions on Image Processing 26 (2), 1031-1039, 2016 | 1 | 2016 |
| Object Color Constancy for Outdoor Multiple Light Sources L Qu, Z Duan, J Tian, Z Han, Y Tang CCF Chinese Conference on Computer Vision, 369-378, 2015 | 1 | 2015 |
