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Qian Zhao
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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
7452019
Self-Paced Curriculum Learning
L Jiang, D Meng, Q Zhao, S Shan, AG Hauptmann
AAAI 2 (5.4), 6, 2015
5612015
Semi-supervised transfer learning for image rain removal
W Wei, D Meng, Q Zhao, Z Xu, Y Wu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3832019
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
3412017
Variational denoising network: Toward blind noise modeling and removal
Z Yue, H Yong, Q Zhao, D Meng, L Zhang
Advances in neural information processing systems, 1690-1701, 2019
3172019
A Model-driven Deep Neural Network for Single Image Rain Removal
H Wang, Q Xie, Q Zhao, D Meng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2982020
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
2562014
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
2502016
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
2472018
Multispectral and hyperspectral image fusion by MS/HS fusion net
Q Xie, M Zhou, Q Zhao, D Meng, W Zuo, Z Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2242019
A theoretical understanding of self-paced learning
D Meng, Q Zhao, L Jiang
Information Sciences 414, 319-328, 2017
201*2017
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
1952018
Dual adversarial network: Toward real-world noise removal and noise generation
Z Yue, Q Zhao, L Zhang, D Meng
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1822020
Self-Paced Learning for Matrix Factorization
Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, AG Hauptmann
AAAI, 3196-3202, 2015
1702015
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
1682018
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
1662018
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
1642012
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
1502017
MHF-Net: An interpretable deep network for multispectral and hyperspectral image fusion
Q Xie, M Zhou, Q Zhao, Z Xu, D Meng
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1457-1473, 2020
1412020
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
1382015
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