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Qian Zhao
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Cited by
Year
Self-Paced Curriculum Learning
L Jiang, D Meng, Q Zhao, S Shan, AG Hauptmann
AAAI 2 (5.4), 6, 2015
4852015
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
4612019
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
2432017
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
2382014
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
2352019
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
2112016
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
1972018
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
1912019
A theoretical understanding of self-paced learning
D Meng, Q Zhao, L Jiang
Information Sciences 414, 319-328, 2017
182*2017
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
1762020
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
1642018
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
1602019
Self-Paced Learning for Matrix Factorization
Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, AG Hauptmann
AAAI, 3196-3202, 2015
1532015
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
1532012
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
1382018
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
1292018
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
1292017
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
1252015
Nonconvex-sparsity and nonlocal-smoothness-based blind hyperspectral unmixing
J Yao, D Meng, Q Zhao, W Cao, Z Xu
IEEE Transactions on Image Processing 28 (6), 2991-3006, 2019
1072019
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
1012017
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