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Deyu Meng
Deyu Meng
Professor, Xi'an Jiaotong University
Подтвержден адрес электронной почты в домене mail.xjtu.edu.cn - Главная страница
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Процитировано
Год
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
67692017
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
7302013
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, 183-208, 2017
7102017
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
6582019
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 32, 2019
6252019
Self-paced curriculum learning
L Jiang, D Meng, Q Zhao, S Shan, A Hauptmann
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
5282015
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
5092016
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), 1888-1902, 2017
420*2017
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
3942015
Self-paced learning with diversity
L Jiang, D Meng, SI Yu, Z Lan, S Shan, A Hauptmann
Advances in neural information processing systems 27, 2014
3832014
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
3742018
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
3612013
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
3422014
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
3392019
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
3112017
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
3102014
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 …, 2017
3092017
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
3032018
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
295*2020
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 32, 2019
2792019
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