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2020 – today
- 2021
[j98]Mingwen Shao, Le Li, Hong Wang, Deyu Meng:
Selective generative adversarial network for raindrop removal from a single image. Neurocomputing 426: 265-273 (2021)- [j97]Mingwen Shao, Gaozhi Zhang, Wangmeng Zuo, Deyu Meng:
Target attack on biomedical image segmentation model based on multi-scale gradients. Inf. Sci. 554: 33-46 (2021) - [j96]Hong Wang, Yichen Wu, Qi Xie, Qian Zhao
, Yong Liang, Shijun Zhang, Deyu Meng:
Structural residual learning for single image rain removal. Knowl. Based Syst. 213: 106595 (2021) - [j95]Renzhen Wang, Shilei Cao, Kai Ma, Yefeng Zheng, Deyu Meng:
Pairwise learning for medical image segmentation. Medical Image Anal. 67: 101876 (2021) - [j94]Yuan Yao, Yee Leung, Tung Fung, Zhenfeng Shao, Jie Lu, Deyu Meng, Hanchi Ying, Yu Zhou:
Continuous Multi-Angle Remote Sensing and Its Application in Urban Land Cover Classification. Remote. Sens. 13(3): 413 (2021) - [j93]Yongfei Li, Shicheng Wang, Hao He, Deyu Meng, Dongfang Yang:
Fast Aerial Image Geolocalization Using the Projective-Invariant Contour Feature. Remote. Sens. 13(3): 490 (2021) - [j92]Junxiong Jia, Qian Zhao, Zongben Xu, Deyu Meng, Yee Leung:
Variational Bayes' Method for Functions with Applications to Some Inverse Problems. SIAM J. Sci. Comput. 43(1): A355-A383 (2021) - [j91]Mingwen Shao, Junhui Dai, Jiandong Kuang, Deyu Meng:
A dynamic CNN pruning method based on matrix similarity. Signal Image Video Process. 15(2): 381-389 (2021) - [j90]Tian-Hui Ma, Zongben Xu, Deyu Meng, Xi-Le Zhao:
Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1628-1644 (2021) - [j89]Jun Xu, Mengyang Yu, Ling Shao, Wangmeng Zuo, Deyu Meng, Lei Zhang, David Zhang:
Scaled Simplex Representation for Subspace Clustering. IEEE Trans. Cybern. 51(3): 1493-1505 (2021) - [j88]Kaidong Wang, Yao Wang, Qian Zhao, Deyu Meng, Xiuwu Liao, Zongben Xu:
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning. IEEE Trans. Cybern. 51(3): 1556-1570 (2021) - [j87]Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Deyu Meng:
Online Rain/Snow Removal From Surveillance Videos. IEEE Trans. Image Process. 30: 2029-2044 (2021) - [i64]Risheng Liu, Jiaxin Gao, Jin Zhang, Deyu Meng, Zhouchen Lin:
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond. CoRR abs/2101.11517 (2021) - [i63]Junxiong Jia, Deyu Meng:
Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems. CoRR abs/2102.09741 (2021) - [i62]Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng:
Semi-Supervised Video Deraining with Dynamical Rain Generator. CoRR abs/2103.07939 (2021) - 2020
- [j86]Deyu Meng, Guoen Wei, Pingjun Sun:
Analyzing the Characteristics and Causes of Location Spatial Agglomeration of Listed Companies: An Empirical Study of China's Yangtze River Economic Belt. Complex. 2020: 8859706:1-8859706:14 (2020) - [j85]Fan Ma, Deyu Meng, Xuanyi Dong, Yi Yang:
Self-paced Multi-view Co-training. J. Mach. Learn. Res. 21: 57:1-57:38 (2020) - [j84]Mingwen Shao, Wentao Zhang, Wangmeng Zuo, Deyu Meng:
Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism. Knowl. Based Syst. 196: 105778 (2020) - [j83]Yue Zhao, Pengcheng Li, Chenqiang Gao, Yang Liu, Qiaoyi Chen, Feng Yang, Deyu Meng:
TSASNet: Tooth segmentation on dental panoramic X-ray images by Two-Stage Attention Segmentation Network. Knowl. Based Syst. 206: 106338 (2020) - [j82]Hong Wang, Qi Xie, Yichen Wu, Qian Zhao, Deyu Meng:
Single image rain streaks removal: a review and an exploration. Int. J. Mach. Learn. Cybern. 11(4): 853-872 (2020) - [j81]Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Deyu Meng, Hongying Meng, Sheng Liu:
Discovering influential factors in variational autoencoders. Pattern Recognit. 100: 107166 (2020) - [j80]Tian-Hui Ma, Zongben Xu, Deyu Meng:
Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling. Remote. Sens. 12(8): 1278 (2020) - [j79]Lin He, Jiawei Zhu, Jun Li, Deyu Meng, Jocelyn Chanussot, Antonio Plaza:
Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5898-5914 (2020) - [j78]Yuanke Zhang, Jiangjun Peng, Dong Zeng, Qi Xie, Sui Li, Zhaoying Bian, Yongbo Wang, Yong Zhang, Qian Zhao, Hao Zhang, Zhengrong Liang, Hongbing Lu, Deyu Meng, Jianhua Ma:
Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans. IEEE Trans. Computational Imaging 6: 1375-1388 (2020) - [j77]Xiangyong Cao, Jing Yao, Zongben Xu, Deyu Meng:
Hyperspectral Image Classification With Convolutional Neural Network and Active Learning. IEEE Trans. Geosci. Remote. Sens. 58(7): 4604-4616 (2020) - [j76]Kaidong Wang, Yao Wang, Xi-Le Zhao, Jonathan Cheung-Wai Chan, Zongben Xu, Deyu Meng:
Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 58(11): 7654-7671 (2020) - [j75]Dongwei Ren, Wei Shang, Pengfei Zhu, Qinghua Hu, Deyu Meng, Wangmeng Zuo:
Single Image Deraining Using Bilateral Recurrent Network. IEEE Trans. Image Process. 29: 6852-6863 (2020) - [j74]Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Yee Leung, Deyu Meng:
Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing. IEEE Trans. Image Process. 29: 7889-7903 (2020) - [j73]Dong Zeng, Lisha Yao, Yongshuai Ge, Sui Li, Qi Xie, Hao Zhang, Zhaoying Bian, Qian Zhao, Yuanqing Li, Zongben Xu, Deyu Meng, Jianhua Ma:
Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction. IEEE Trans. Medical Imaging 39(9): 2831-2843 (2020) - [j72]Yi-Jie Huang, Weiping Liu, Xiuying Wang, Qu Fang, Renzhen Wang, Yi Wang, Huai Chen, Hao Chen, Deyu Meng, Lisheng Wang:
Rectifying Supporting Regions With Mixed and Active Supervision for Rib Fracture Recognition. IEEE Trans. Medical Imaging 39(12): 3843-3854 (2020) - [j71]Zongsheng Yue, Hongwei Yong, Deyu Meng, Qian Zhao, Yee Leung, Lei Zhang:
Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1070-1083 (2020) - [j70]Qian Zhao, Xiangyu Rui, Zhi Han, Deyu Meng:
Multilinear Multitask Learning by Rank-Product Regularization. IEEE Trans. Neural Networks Learn. Syst. 31(4): 1336-1350 (2020) - [c63]Hong Wang, Qi Xie, Qian Zhao, Deyu Meng:
A Model-Driven Deep Neural Network for Single Image Rain Removal. CVPR 2020: 3100-3109 - [c62]Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. CVPR 2020: 9159-9168 - [c61]Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng:
Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation. ECCV (10) 2020: 41-58 - [c60]Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu:
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. ECCV (29) 2020: 208-224 - [c59]Hongwei Yong, Jianqiang Huang, Deyu Meng, Xian-Sheng Hua, Lei Zhang:
Momentum Batch Normalization for Deep Learning with Small Batch Size. ECCV (12) 2020: 224-240 - [c58]Zhengyang Hu, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu:
MEP-Based Channel Estimation under Complex Communication Environment. ICC 2020: 1-5 - [i61]Jun Shu, Qian Zhao, Keyu Chen, Zongben Xu, Deyu Meng:
Learning Adaptive Loss for Robust Learning with Noisy Labels. CoRR abs/2002.06482 (2020) - [i60]Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation. CoRR abs/2003.07072 (2020) - [i59]Shuyin Xia, Daowan Peng, Deyu Meng, Changqing Zhang, Guoyin Wang, Zizhong Chen, Wei Wei:
Ball k-means. CoRR abs/2005.00784 (2020) - [i58]Hong Wang, Qi Xie, Qian Zhao, Deyu Meng:
A Model-driven Deep Neural Network for Single Image Rain Removal. CoRR abs/2005.01333 (2020) - [i57]Hong Wang, Yichen Wu, Qi Xie, Qian Zhao, Yong Liang, Deyu Meng:
Structural Residual Learning for Single Image Rain Removal. CoRR abs/2005.09228 (2020) - [i56]Jun Shu, Qian Zhao, Zongben Xu, Deyu Meng:
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels. CoRR abs/2006.05697 (2020) - [i55]Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu, Zongben Xu:
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution. CoRR abs/2007.05230 (2020) - [i54]Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng:
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation. CoRR abs/2007.05946 (2020) - [i53]Jun Shu, Yanwen Zhu, Qian Zhao, Deyu Meng, Zongben Xu:
Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize. CoRR abs/2007.14546 (2020) - [i52]Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng:
Learning to Purify Noisy Labels via Meta Soft Label Corrector. CoRR abs/2008.00627 (2020) - [i51]Renzhen Wang, Kaiqin Hu, Yanwen Zhu, Jun Shu, Qian Zhao, Deyu Meng:
Meta Feature Modulator for Long-tailed Recognition. CoRR abs/2008.03428 (2020) - [i50]Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Deyu Meng:
From Rain Removal to Rain Generation. CoRR abs/2008.03580 (2020) - [i49]Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng:
Variational Image Restoration Network. CoRR abs/2008.10796 (2020) - [i48]Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu:
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction. CoRR abs/2009.00792 (2020) - [i47]Huai Chen, Jieyu Li, Renzhen Wang, Yijie Huang, Fanrui Meng, Deyu Meng, Qing Peng, Lisheng Wang:
Unsupervised Learning of Local Discriminative Representation for Medical Images. CoRR abs/2012.09333 (2020) - [i46]Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen:
TSGCNet: Discriminative Geometric Feature Learning with Two-Stream GraphConvolutional Network for 3D Dental Model Segmentation. CoRR abs/2012.13697 (2020)
2010 – 2019
- 2019
- [j69]Hui Li, Jianyong Sun, Deyu Meng, Qinfu Zhang:
A Multiobjective Approach Based on Gaussian Mixture Clustering for Sparse Reconstruction. IEEE Access 7: 22684-22697 (2019) - [j68]Dingwen Zhang, Junwei Han, Long Zhao, Deyu Meng:
Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework. Int. J. Comput. Vis. 127(4): 363-380 (2019) - [j67]Xuanyi Dong, Liang Zheng, Fan Ma, Yi Yang, Deyu Meng:
Few-Example Object Detection with Model Communication. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1641-1654 (2019) - [j66]Xiangyong Cao, Zongben Xu, Deyu Meng:
Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field. Remote. Sens. 11(13): 1565 (2019) - [j65]Maoguo Gong, Hao Li, Deyu Meng, Qiguang Miao, Jia Liu:
Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning. IEEE Trans. Evol. Comput. 23(2): 288-302 (2019) - [j64]Jing Yao, Deyu Meng, Qian Zhao, Wenfei Cao, Zongben Xu:
Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing. IEEE Trans. Image Process. 28(6): 2991-3006 (2019) - [j63]Sanping Zhou, Jinjun Wang, Deyu Meng, Yudong Liang, Yihong Gong, Nanning Zheng:
Discriminative Feature Learning With Foreground Attention for Person Re-Identification. IEEE Trans. Image Process. 28(9): 4671-4684 (2019) - [j62]Sui Li, Dong Zeng, Jiangjun Peng, Zhaoying Bian, Hao Zhang, Qi Xie, Yongbo Wang, Yuting Liao, Shanli Zhang, Jing Huang, Deyu Meng, Zongben Xu, Jianhua Ma:
An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization. IEEE Trans. Medical Imaging 38(2): 360-370 (2019) - [j61]Renzhen Wang, Benzhi Chen, Deyu Meng, Lisheng Wang:
Weakly Supervised Lesion Detection From Fundus Images. IEEE Trans. Medical Imaging 38(6): 1501-1512 (2019) - [c57]Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu:
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. CVPR 2019: 1585-1594 - [c56]Abdelrahman Abdelhamed, Radu Timofte, Michael S. Brown, Songhyun Yu, Bumjun Park, Jechang Jeong, Seung-Won Jung, Dong-Wook Kim, Jae Ryun Chung, Jiaming Liu, Yuzhi Wang, Chi-Hao Wu, Qin Xu, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang, Kai Zhang, Wangmeng Zuo, Magauiya Zhussip, Dongwon Park, Shakarim Soltanayev, Se Young Chun, Zhiwei Xiong, Chang Chen, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman Khan, Fahad Shahbaz Khan, Ling Shao, Sung-Jea Ko, Dong-Pan Lim, Seung-Wook Kim, Seo-Won Ji, Sang-Won Lee, Wenyi Tang, Yuchen Fan, Yuqian Zhou, Ding Liu, Thomas S. Huang, Deyu Meng, Lei Zhang, Hongwei Yong, Yiyun Zhao, Pengliang Tang, Yue Lu, Raimondo Schettini, Simone Bianco, Simone Zini, Chi Li, Yang Wang, Zhiguo Cao:
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. CVPR Workshops 2019: 2197-2210 - [c55]Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu, Ying Wu:
Semi-Supervised Transfer Learning for Image Rain Removal. CVPR 2019: 3877-3886 - [c54]Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng:
Progressive Image Deraining Networks: A Better and Simpler Baseline. CVPR 2019: 3937-3946 - [c53]Haipei Zhang, Jiang Xue, Deyu Meng, Qian Zhao, Zongben Xu:
Robust CSI Estimation Under Complex Communication Environment. ICC 2019: 1-6 - [c52]Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng:
Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network. MICCAI (6) 2019: 157-165 - [c51]Zongsheng Yue, Hongwei Yong, Qian Zhao, Deyu Meng, Lei Zhang:
Variational Denoising Network: Toward Blind Noise Modeling and Removal. NeurIPS 2019: 1688-1699 - [c50]Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng:
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting. NeurIPS 2019: 1917-1928 - [i45]Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu:
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. CoRR abs/1901.03281 (2019) - [i44]Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng:
Progressive Image Deraining Networks: A Better and Simpler Baseline. CoRR abs/1901.09221 (2019) - [i43]Jun Shu, Qi Xie, Lixuan Yi, Qian Zhao, Sanping Zhou, Zongben Xu, Deyu Meng:
Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels. CoRR abs/1902.07379 (2019) - [i42]Junxiong Jia, Qian Zhao, Zongben Xu, Deyu Meng:
Variational Bayes' method for functions with applications to some inverse problems. CoRR abs/1907.03889 (2019) - [i41]Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng:
Variational Denoising Network: Toward Blind Noise Modeling and Removal. CoRR abs/1908.11314 (2019) - [i40]Minghan Li, Xiangyong Cao, Qian Zhao, Lei Zhang, Chenqiang Gao, Deyu Meng:
Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding. CoRR abs/1909.06148 (2019) - [i39]Hong Wang, Minghan Li, Yichen Wu, Qian Zhao, Deyu Meng:
A Survey on Rain Removal from Video and Single Image. CoRR abs/1909.08326 (2019) - 2018
- [j60]Shi-Qi Liu, Zilu Ma, Deyu Meng, Kaidong Wang, Yong Zhang:
Understanding self-paced learning under Concave Conjugacy Theory. Commun. Inf. Syst. 18(1): 1-35 (2018) - [j59]Jing Yao, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Robust subspace clustering via penalized mixture of Gaussians. Neurocomputing 278: 4-11 (2018) - [j58]Zilu Ma, Shiqi Liu, Deyu Meng, Yong Zhang, SioLong Lo, Zhi Han:
On Convergence Properties of Implicit Self-paced Objective. Inf. Sci. 462: 132-140 (2018) - [j57]Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, Lei Zhang:
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 7-19 (2018) - [j56]Hongwei Yong, Deyu Meng, Wangmeng Zuo, Lei Zhang:
Robust Online Matrix Factorization for Dynamic Background Subtraction. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1726-1740 (2018) - [j55]Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu:
Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1888-1902 (2018) - [j54]Chenqiang Gao, Lan Wang, Yongxing Xiao, Qian Zhao, Deyu Meng:
Infrared small-dim target detection based on Markov random field guided noise modeling. Pattern Recognit. 76: 463-475 (2018) - [j53]Sanping Zhou, Jinjun Wang, Deyu Meng, Xiaomeng Xin, Yubing Li, Yihong Gong, Nanning Zheng:
Deep self-paced learning for person re-identification. Pattern Recognit. 76: 739-751 (2018) - [j52]Zongsheng Yue, Deyu Meng, Yongqing Sun, Qian Zhao:
Hyperspectral Image Restoration under Complex Multi-Band Noises. Remote. Sens. 10(10): 1631 (2018) - [j51]Yao Wang, Jiangjun Peng, Qian Zhao, Yee Leung, Xi-Le Zhao, Deyu Meng:
Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1227-1243 (2018) - [j50]Yang Chen, Xiangyong Cao, Qian Zhao, Deyu Meng, Zongben Xu:
Denoising Hyperspectral Image With Non-i.i.d. Noise Structure. IEEE Trans. Cybern. 48(3): 1054-1066 (2018) - [j49]Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John W. Paisley:
Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network. IEEE Trans. Image Process. 27(5): 2354-2367 (2018) - [j48]Xiai Chen, Zhi Han, Yao Wang, Qian Zhao, Deyu Meng, Lin Lin, Yandong Tang:
A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5380-5393 (2018) - [c49]Jiang Liu, Chenqiang Gao, Deyu Meng, Alexander G. Hauptmann:
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation. CVPR 2018: 5197-5206 - [c48]Minghan Li, Qi Xie, Qian Zhao, Wei Wei, Shuhang Gu, Jing Tao, Deyu Meng:
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding. CVPR 2018: 6644-6653 - [c47]Lan Wang, Chenqiang Gao, Luyu Yang, Yue Zhao, Wangmeng Zuo, Deyu Meng:
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-Modalities. ECCV (6) 2018: 389-406 - [i38]Lan Wang, Chenqiang Gao, Luyu Yang, Yue Zhao, Wangmeng Zuo, Deyu Meng:
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities. CoRR abs/1804.06248 (2018) - [i37]Shiqi Liu, Zilu Ma, Deyu Meng:
Understanding Self-Paced Learning under Concave Conjugacy Theory. CoRR abs/1805.08096 (2018) - [i36]Sanping Zhou, Jinjun Wang, Deyu Meng, Yudong Liang, Yihong Gong, Nanning Zheng:
Discriminative Feature Learning with Foreground Attention for Person Re-Identification. CoRR abs/1807.01455 (2018) - [i35]Jun Xu, Deyu Meng, Lei Zhang:
Simplex Representation for Subspace Clustering. CoRR abs/1807.09930 (2018) - [i34]Wei Wei, Deyu Meng, Qian Zhao, Zongben Xu:
Semi-supervised CNN for Single Image Rain Removal. CoRR abs/1807.11078 (2018) - [i33]Mingrui Geng, Yun Deng, Qian Zhao, Qi Xie, Dong Zeng, Jianhua Ma, Wangmeng Zuo, Deyu Meng:
Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement. CoRR abs/1808.02603 (2018) - [i32]Jun Shu, Zongben Xu, Deyu Meng:
Small Sample Learning in Big Data Era. CoRR abs/1808.04572 (2018) - [i31]Shiqi Liu, Jingxin Liu, Qian Zhao, Xiangyong Cao, Huibin Li, Hongying Meng, Sheng Liu, Deyu Meng:
Discovering Influential Factors in Variational Autoencoder. CoRR abs/1809.01804 (2018) - [i30]Jiangjun Peng, Qi Xie, Qian Zhao, Yao Wang, Deyu Meng, Yee Leung:
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing. CoRR abs/1809.06591 (2018) - [i29]Hongwei Yong, Deyu Meng, Jinxing Li, Wangmeng Zuo, Lei Zhang:
Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians. CoRR abs/1811.02934 (2018) - 2017
- [j47]Shuhang Gu, Qi Xie, Deyu Meng, Wangmeng Zuo, Xiangchu Feng, Lei Zhang:
Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision. Int. J. Comput. Vis. 121(2): 183-208 (2017) - [j46]Xiangyong Cao, Lin Xu, Deyu Meng, Qian Zhao, Zongben Xu:
Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification. Neurocomputing 226: 90-100 (2017) - [j45]Deyu Meng, Qian Zhao, Lu Jiang:
A theoretical understanding of self-paced learning. Inf. Sci. 414: 319-328 (2017) - [j44]Zongsheng Yue, Deyu Meng, Juan He, Gemeng Zhang:
Semi-supervised learning through adaptive Laplacian graph trimming. Image Vis. Comput. 60: 38-47 (2017) - [j43]Yao Wang, Lin Lin, Qian Zhao, Tianwei Yue, Deyu Meng, Yee Leung:
Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization. IEEE Geosci. Remote. Sens. Lett. 14(12): 2457-2461 (2017) - [j42]Dingwen Zhang, Deyu Meng, Junwei Han:
Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework. IEEE Trans. Pattern Anal. Mach. Intell. 39(5): 865-878 (2017) - [j41]Yong Xu, Lin Lin, Deyu Meng:
Learning-Based Sub-Pixel Change Detection Using Coarse Resolution Satellite Imagery. Remote. Sens. 9(7): 709 (2017) - [j40]Lan Wang, Chenqiang Gao, Jiang Liu, Deyu Meng:
A novel learning-based frame pooling method for event detection. Signal Process. 140: 45-52 (2017) - [j39]Liantao Wang, Deyu Meng, Xuelei Hu, Jianfeng Lu, Ji Zhao:
Instance Annotation via Optimal BoW for Weakly Supervised Object Localization. IEEE Trans. Cybern. 47(5): 1313-1324 (2017) - [j38]Kede Ma, Hui Li, Hongwei Yong, Zhou Wang, Deyu Meng, Lei Zhang:
Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach. IEEE Trans. Image Process. 26(5): 2519-2532 (2017) - [j37]