Qian Zhao
Title
Cited by
Cited by
Year
Self-Paced Curriculum Learning
L Jiang, D Meng, Q Zhao, S Shan, AG Hauptmann
AAAI 2 (5.4), 6, 2015
2772015
Robust Principal Component Analysis with Complex Noise
Q Zhao, D Meng, Z Xu, W Zuo, L Zhang
Proceedings of the 31st International Conference on Machine Learning (ICML 2014), 2014
1712014
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization
Q Xie, Q Zhao, D Meng, Z Xu, S Gu, W Zuo, L Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1262016
Improve robustness of sparse PCA by< i> L</i>< sub> 1</sub>-norm maximization
D Meng, Q Zhao, Z Xu
Pattern Recognition 45 (1), 487-497, 2012
1242012
Self-Paced Learning for Matrix Factorization
Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, AG Hauptmann
AAAI, 3196-3202, 2015
1182015
A theoretical understanding of self-paced learning
D Meng, Q Zhao, L Jiang
Information Sciences 414, 319-328, 2017
111*2017
Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions
X Cao, Q Zhao, D Meng, Y Chen, Z Xu
IEEE Transactions on Image Processing 25 (10), 4677-4690, 2016
94*2016
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection
D Zhang, D Meng, C Li, L Jiang, Q Zhao, J Han
Proceedings of the IEEE International Conference on Computer Vision, 594-602, 2015
912015
Kronecker-basis-representation based tensor sparsity and its applications to tensor recovery
Q Xie, Q Zhao, D Meng, Z Xu
IEEE transactions on pattern analysis and machine intelligence 40 (8), 2018
882018
Hyperspectral image restoration via total variation regularized low-rank tensor decomposition
Y Wang, J Peng, Q Zhao, Y Leung, XL Zhao, D Meng
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017
822017
Meta-weight-net: Learning an explicit mapping for sample weighting
J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng
Advances in Neural Information Processing Systems, 1919-1930, 2019
692019
L₁-Norm Low-Rank Matrix Factorization by Variational Bayesian Method
Q Zhao, D Meng, Z Xu, W Zuo, Y Yan
Neural Networks and Learning Systems, IEEE Transactions on 26 (4), 825-839, 2015
67*2015
Video Rain Streak Removal By Multiscale Convolutional Sparse Coding
M Li, Q Xie, Q Zhao, W Wei, S Gu, J Tao, D Meng
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
662018
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification
X Cao, L Xu, D Meng, Q Zhao, Z Xu
Neurocomputing 226, 90-100, 2017
632017
Should we encode rain streaks in video as deterministic or stochastic?
W Wei, L Yi, Q Xie, Q Zhao, D Meng, Z Xu
Proceedings of the IEEE International Conference on Computer Vision, 2516-2525, 2017
632017
Infrared small-dim target detection based on Markov random field guided noise modeling
C Gao, L Wang, Y Xiao, Q Zhao, D Meng
Pattern Recognition 76, 463-475, 2018
622018
Denoising hyperspectral image with non-iid noise structure
Y Chen, X Cao, Q Zhao, D Meng, Z Xu
IEEE transactions on cybernetics 48 (3), 1054-1066, 2018
582018
Low-rank matrix factorization under general mixture noise distributions
X Cao, Y Chen, Q Zhao, D Meng, Y Wang, D Wang, Z Xu
Proceedings of the IEEE International Conference on Computer Vision, 1493-1501, 2015
532015
Semi-supervised transfer learning for image rain removal
W Wei, D Meng, Q Zhao, Z Xu, Y Wu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
502019
A Novel Sparsity Measure for Tensor Recovery
Q Zhao, D Meng, X Kong, Q Xie, W Cao, Y Wang, Z Xu
Proceedings of the IEEE International Conference on Computer Vision, 271-279, 2015
452015
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