Deyu Meng
Title
Cited by
Cited by
Year
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
24782017
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, 2017
3592017
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
3432017
Self-paced curriculum learning.
L Jiang, D Meng, Q Zhao, S Shan, AG Hauptmann
AAAI 2 (5.4), 6, 2015
2772015
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
2632013
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
2582015
Self-paced learning with diversity
L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann
Advances in Neural Information Processing Systems, 2078-2086, 2014
2442014
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
2312013
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
2052014
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
2012014
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
1712014
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
1652018
Robust matrix factorization with unknown noise
D Meng, F De La Torre
Proceedings of the IEEE International Conference on Computer Vision, 1337-1344, 2013
1522013
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
1312017
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 L1-norm maximization
D Meng, Q Zhao, Z Xu
Pattern Recognition 45 (1), 487-497, 2012
1222012
Event oriented dictionary learning for complex event detection
Y Yan, Y Yang, D Meng, G Liu, W Tong, AG Hauptmann, N Sebe
IEEE Transactions on Image Processing 24 (6), 1867-1878, 2015
1202015
Self-paced learning for matrix factorization.
Q Zhao, D Meng, L Jiang, Q Xie, Z Xu, AG Hauptmann
Aaai 3, 4, 2015
1182015
A theoretical understanding of self-paced learning
D Meng, Q Zhao, L Jiang
Information Sciences 414, 319-328, 2017
111*2017
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
1062018
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