Deyu Meng
Deyu Meng
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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
K Zhang, W Zuo, Y Chen, D Meng, L Zhang
IEEE transactions on image processing 26 (7), 3142-3155, 2017
33692017
Weighted nuclear norm minimization and its applications to low level vision
S Gu, Q Xie, D Meng, W Zuo, X Feng, L Zhang
International journal of computer vision 121 (2), 183-208, 2017
4332017
Co-saliency detection via a self-paced multiple-instance learning framework
D Zhang, D Meng, J Han
IEEE transactions on pattern analysis and machine intelligence 39 (5), 865-878, 2016
4052016
Infrared patch-image model for small target detection in a single image
C Gao, D Meng, Y Yang, Y Wang, X Zhou, AG Hauptmann
IEEE transactions on image processing 22 (12), 4996-5009, 2013
3362013
Self-paced curriculum learning
L Jiang, D Meng, Q Zhao, S Shan, AG Hauptmann
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
3332015
Convolutional sparse coding for image super-resolution
S Gu, W Zuo, Q Xie, D Meng, X Feng, L Zhang
Proceedings of the IEEE International Conference on Computer Vision, 1823-1831, 2015
3052015
Self-paced learning with diversity
L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann
Advances in Neural Information Processing Systems 27, 2078-2086, 2014
2832014
A generalized iterated shrinkage algorithm for non-convex sparse coding
W Zuo, D Meng, L Zhang, X Feng, D Zhang
Proceedings of the IEEE international conference on computer vision, 217-224, 2013
2532013
Decomposable nonlocal tensor dictionary learning for multispectral image denoising
Y Peng, D Meng, Z Xu, C Gao, Y Yang, B Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
2312014
Decidenet: Counting varying density crowds through attention guided detection and density estimation
J Liu, C Gao, D Meng, AG Hauptmann
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2272018
Easy samples first: Self-paced reranking for zero-example multimedia search
L Jiang, D Meng, T Mitamura, AG Hauptmann
Proceedings of the 22nd ACM international conference on Multimedia, 547-556, 2014
2192014
Progressive image deraining networks: A better and simpler baseline
D Ren, W Zuo, Q Hu, P Zhu, D Meng
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1892019
Robust principal component analysis with complex noise
Q Zhao, D Meng, Z Xu, W Zuo, L Zhang
International conference on machine learning, 55-63, 2014
1872014
Robust matrix factorization with unknown noise
D Meng, F De La Torre
Proceedings of the IEEE International Conference on Computer Vision, 1337-1344, 2013
1772013
Meta-weight-net: Learning an explicit mapping for sample weighting
J Shu, Q Xie, L Yi, Q Zhao, S Zhou, Z Xu, D Meng
arXiv preprint arXiv:1902.07379, 2019
1672019
Hyperspectral image classification with Markov random fields and a convolutional neural network
X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley
IEEE Transactions on Image Processing 27 (5), 2354-2367, 2018
1622018
Robust multi-exposure image fusion: a structural patch decomposition approach
K Ma, H Li, H Yong, Z Wang, D Meng, L Zhang
IEEE Transactions on Image Processing 26 (5), 2519-2532, 2017
1592017
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
1532016
Improve robustness of sparse PCA by L1-norm maximization
D Meng, Q Zhao, Z Xu
Pattern Recognition 45 (1), 487-497, 2012
1392012
A theoretical understanding of self-paced learning
D Meng, Q Zhao, L Jiang
Information Sciences 414, 319-328, 2017
132*2017
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