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Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images

Oct 09, 2020
Xin Feng, Wenjie Pei, Zihui Jia, David Zhang, Guangming Lu

* 13 pages, 11 figures 

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Designing and Training of A Dual CNN for Image Denoising

Jul 08, 2020
Chunwei Tian, Yong Xu, Wangmeng Zuo, Bo Du, Chia-Wen Lin, David Zhang


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Learning Context-Based Non-local Entropy Modeling for Image Compression

May 10, 2020
Mu Li, Kai Zhang, Wangmeng Zuo, Radu Timofte, David Zhang


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Biometric Recognition Using Deep Learning: A Survey

Nov 30, 2019
Shervin Minaee, Amirali Abdolrashidi, Hang Su, Mohammed Bennamoun, David Zhang

* Under Review 

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Bit Efficient Quantization for Deep Neural Networks

Oct 07, 2019
Prateeth Nayak, David Zhang, Sek Chai

* EMC2 - NeurIPS workshop 2019, #latentai 

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Non-negative Sparse and Collaborative Representation for Pattern Classification

Aug 29, 2019
Jun Xu, Zhou Xu, Wangpeng An, Haoqian Wang, David Zhang

* 26 pages, 11 tables, 3 figures. arXiv admin note: text overlap with arXiv:1806.04329 

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Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression

Jun 24, 2019
Mu Li, Kede Ma, Jane You, David Zhang, Wangmeng Zuo


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Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How

May 16, 2019
Feng Li, Xiaohe Wu, Wangmeng Zuo, David Zhang, Lei Zhang

* 13 pages, 7 figures, submitted to IEEE Transactions on Image Processing 

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Learning Content-Weighted Deep Image Compression

Apr 01, 2019
Mu Li, Wangmeng Zuo, Shuhang Gu, Jane You, David Zhang


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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

Mar 25, 2019
Lei Zhang, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, David Zhang

* This paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems 

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Simultaneous Fidelity and Regularization Learning for Image Restoration

Oct 16, 2018
Dongwei Ren, Wangmeng Zuo, David Zhang, Lei Zhang, Ming-Hsuan Yang


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External Prior Guided Internal Prior Learning for Real-World Noisy Image Denoising

Oct 15, 2018
Jun Xu, Lei Zhang, David Zhang

* 14 pages, 13figures, IEEE Trans. Image Processing 27(6): 2996-3010 (2018) 

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A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising

Jul 11, 2018
Jun Xu, Lei Zhang, David Zhang

* Accepted to ECCV 2018. 17 pages, not including supplemental material. Code will be published on https://github.com/csjunxu/TWSC-ECCV2018 

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Enlarging Context with Low Cost: Efficient Arithmetic Coding with Trimmed Convolution

Jul 03, 2018
Mu Li, Shuhang Gu, David Zhang, Wangmeng Zuo


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Real-world Noisy Image Denoising: A New Benchmark

Apr 07, 2018
Jun Xu, Hui Li, Zhetong Liang, David Zhang, Lei Zhang

* 13 pages, 8 figures, 8 tables. arXiv admin note: text overlap with arXiv:1707.01313 by other authors 

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Dual Asymmetric Deep Hashing Learning

Jan 25, 2018
Jinxing Li, Bob Zhang, Guangming Lu, David Zhang

* 12 pages, 6 figures, 7 tables, 37 conferences 

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Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation

Oct 05, 2017
Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang

* Accepted by ICCV 2017 workshop 

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Learning Convolutional Networks for Content-weighted Image Compression

Sep 19, 2017
Mu Li, Wangmeng Zuo, Shuhang Gu, Debin Zhao, David Zhang


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Learning Domain-Invariant Subspace using Domain Features and Independence Maximization

Jun 22, 2017
Ke Yan, Lu Kou, David Zhang

* Accepted 

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Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising

May 28, 2017
Jun Xu, Lei Zhang, David Zhang, Xiangchu Feng

* 9 pages, 4 figures, submitted 

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GPU Activity Prediction using Representation Learning

Mar 27, 2017
Aswin Raghavan, Mohamed Amer, Timothy Shields, David Zhang, Sek Chai

* Proceedings of the 33 rd International Conference on Machine Learning, New York, NY, USA, 2016. JMLR: W&CP volume 48. Copyright 2016 by the author(s) 

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Low Precision Neural Networks using Subband Decomposition

Mar 24, 2017
Sek Chai, Aswin Raghavan, David Zhang, Mohamed Amer, Tim Shields

* Presented at CogArch Workshop, Atlanta, GA, April 2016 

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Deep Identity-aware Transfer of Facial Attributes

Oct 18, 2016
Mu Li, Wangmeng Zuo, David Zhang


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Evolutionary Cost-sensitive Extreme Learning Machine

Sep 22, 2016
Lei Zhang, David Zhang

* This paper has been accepted for publication in IEEE Transactions on Neural Networks and Learning Systems 

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Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation

Aug 23, 2016
Mu Li, Wangmeng Zuo, David Zhang

* 9 pages, 7 figures 

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Robust Visual Knowledge Transfer via EDA

Aug 09, 2016
Lei Zhang, David Zhang

* This paper has been accepted for publication in IEEE Transactions on Image Processing 

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Multi-modal Fusion for Diabetes Mellitus and Impaired Glucose Regulation Detection

Apr 12, 2016
Jinxing Li, David Zhang, Yongcheng Li, Jian Wu

* 9 pages, 8 figures, 30 conference 

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Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition

Mar 25, 2016
Yan Yan, Hanzi Wang, Si Chen, Xiaochun Cao, David Zhang


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A survey of sparse representation: algorithms and applications

Feb 23, 2016
Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang

* Published on IEEE Access, Vol. 3, pp. 490-530, 2015 

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