NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (34)

cs.CV2019

Learning Content-Weighted Deep Image Compression

Mu Li, Wangmeng Zuo, Shuhang Gu +2

cs.CV2018

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

Jun Xu, Lei Zhang, David Zhang +1

cs.CV2016

Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition

Yan Yan, Hanzi Wang, Si Chen +2

cs.CV2016

A survey of sparse representation: algorithms and applications

Zheng Zhang, Yong Xu, Jian Yang +2

cs.CV2010

Automatic Image Segmentation by Dynamic Region Merging

Bo Peng, Lei Zhang, David Zhang

cs.CV2017

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

Feng Li, Yingjie Yao, Peihua Li +3

cs.CV2015

Visual Understanding via Multi-Feature Shared Learning with Global Consistency

Lei Zhang, David Zhang

cs.CV2017

Learning Domain-Invariant Subspace using Domain Features and Independence Maximization

Ke Yan, Lu Kou, David Zhang

cs.CV2016

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

Jinxing Li, David Zhang, Yongcheng Li +1

cs.CV2012

Regularized Robust Coding for Face Recognition

Meng Yang, Lei Zhang, Jian Yang +1

cs.CV2016

Robust Visual Knowledge Transfer via EDA

Lei Zhang, David Zhang

cs.CV2017

Learning Convolutional Networks for Content-weighted Image Compression

Mu Li, Wangmeng Zuo, Shuhang Gu +2

cs.CV2019

Simultaneous Fidelity and Regularization Learning for Image Restoration

Dongwei Ren, Wangmeng Zuo, David Zhang +2

cs.CV2019

Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation

Lei Zhang, Shanshan Wang, Guang-Bin Huang +3

cs.CV2016

Evolutionary Cost-sensitive Extreme Learning Machine

Lei Zhang, David Zhang

cs.CV2018

Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?

Jun Xu, Wangpeng An, Lei Zhang +1

cs.CV2013

A Local Active Contour Model for Image Segmentation with Intensity Inhomogeneity

Kaihua Zhang, Lei Zhang, Kin-Man Lam +1

cs.CV2018

Deep Identity-aware Transfer of Facial Attributes

Mu Li, Wangmeng Zuo, David Zhang

cs.CV2013

Fast Tracking via Spatio-Temporal Context Learning

Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang +1

cs.CV2016

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

Mu Li, Wangmeng Zuo, David Zhang

cs.CV2018

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

Mu Li, Shuhang Gu, David Zhang +1

cs.CV2018

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

Jun Xu, Lei Zhang, David Zhang

cs.LG2015

Iterated Support Vector Machines for Distance Metric Learning

Wangmeng Zuo, Faqiang Wang, David Zhang +4

cs.LG2015

Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems

Lei Zhang, David Zhang

cs.CV2018

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

Jun Xu, Lei Zhang, David Zhang

cs.LG2017

GPU Activity Prediction using Representation Learning

Aswin Raghavan, Mohamed Amer, Timothy Shields +2

cs.LG2017

Low Precision Neural Networks using Subband Decomposition

Sek Chai, Aswin Raghavan, David Zhang +2

cs.CV2015

Robust Scene Text Recognition Using Sparse Coding based Features

Da-Han Wang, Hanzi Wang, Dong Zhang +2

cs.CV2018

Real-world Noisy Image Denoising: A New Benchmark

Jun Xu, Hui Li, Zhetong Liang +2

cs.CV2018

Dual Asymmetric Deep Hashing Learning

Jinxing Li, Bob Zhang, Guangming Lu +1

cs.CV2014

Collaborative Representation based Classification for Face Recognition

Lei Zhang, Meng Yang, Xiangchu Feng +2

cs.LG2015

SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet

Lei Zhang, David Zhang

cs.CV2012

Re-initialization Free Level Set Evolution via Reaction Diffusion

Kaihua Zhang, Lei Zhang, Huihui Song +1

cs.LG2013

A Kernel Classification Framework for Metric Learning

Faqiang Wang, Wangmeng Zuo, Lei Zhang +2