Deyu Meng

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Qian ZhaoXi'an Jiaotong UniversityVerified email at xjtu.edu.cn
Wangmeng ZuoSchool of Computer Science and Technology, Harbin Institute of TechnologyVerified email at hit.edu.cn
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Qi XieXi'an Jiaotong UniversityVerified email at stu.xjtu.edu.cn
Alex HauptmannCarnegie Mellon UniversityVerified email at cs.cmu.edu
Chenqiang Gao (高陈强)Professor, Chongqing University of Posts and TelecommunicationsVerified email at cqupt.edu.cn
Lu JiangSenior Research Scientist at Google ResearchVerified email at cs.cmu.edu
Yi YangUniversity of Technology SydneyVerified email at uts.edu.au
Xiangyong CaoAssistant Professor, Xi'an Jiaotong UniversityVerified email at mail.xjtu.edu.cn
Shuhang GuETH, ZurichVerified email at vision.ee.ethz.ch
Jun ShuPh.D. student, School of Mathematics & Statistics, Xi'an Jiaotong UniversityVerified email at stu.xjtu.edu.cn
Hongwei YongPhD candidate in the Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Jianhua MaSouthern Medical UniversityVerified email at smu.edu.cn
Shiguang ShanProfessor of Institute of Computing Technology, Chinese Academy of SciencesVerified email at ict.ac.cn
Fan MaUniversity of Technology SydneyVerified email at student.uts.edu.au
Zhi HanSIA, CASVerified email at sia.cn
Jiangjun PengXi'an Jiaotong UniversityVerified email at stu.xjtu.edu.cn
Xuanyi DongUniversity of Technology SydneyVerified email at student.uts.edu.au
Fernando De la TorreResearch Associate Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Qingfu ZhangChair Professor, FIEEE, City University of Hong KongVerified email at cityu.edu.hk

Deyu Meng

Professor, Xi'an Jiaotong University

Verified email at mail.xjtu.edu.cn - Homepage

Machine Learning Computer Vision Artificial Intelligence


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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	3087	2017
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	397	2017
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	396	2016
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	314	2015
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	314	2013
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	291	2015
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	269	2014
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	244	2013
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	220	2014
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	213	2014
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	205	2018
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	180	2014
Robust matrix factorization with unknown noise D Meng, F De La Torre Proceedings of the IEEE International Conference on Computer Vision, 1337-1344, 2013	169	2013
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	153	2019
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	153	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	144	2018
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	142	2016
Improve robustness of sparse PCA by L1-norm maximization D Meng, Q Zhao, Z Xu Pattern Recognition 45 (1), 487-497, 2012	135	2012
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	134	2019
A theoretical understanding of self-paced learning D Meng, Q Zhao, L Jiang Information Sciences 414, 319-328, 2017	127*	2017

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