
Biometric Recognition Using Deep Learning: A Survey
Deep learningbased models have been very successful in achieving state...
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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
In many practical transfer learning scenarios, the feature distribution ...
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Learning ContentWeighted Deep Image Compression
Learningbased lossy image compression usually involves the joint optimi...
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Nonnegative Sparse and Collaborative Representation for Pattern Classification
Sparse representation (SR) and collaborative representation (CR) have be...
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Simultaneous Fidelity and Regularization Learning for Image Restoration
Most existing nonblind restoration methods are based on the assumption ...
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Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation
The aspect ratio variation frequently appears in visual tracking and has...
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Multichannel Weighted Nuclear Norm Minimization for Real Color Image Denoising
Most of the existing denoising algorithms are developed for grayscale im...
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External Prior Guided Internal Prior Learning for Real Noisy Image Denoising
Most of existing image denoising methods learn image priors from either ...
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Learning Convolutional Networks for Contentweighted Image Compression
Lossy image compression is generally formulated as a joint ratedistorti...
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Deep Identityaware Transfer of Facial Attributes
This paper presents a Deep convolutional network model for IdentityAwar...
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Convolutional Network for Attributedriven and Identitypreserving Human Face Generation
This paper focuses on the problem of generating human face pictures from...
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Multimodal Fusion for Diabetes Mellitus and Impaired Glucose Regulation Detection
Effective and accurate diagnosis of Diabetes Mellitus (DM), as well as i...
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Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition
This paper presents a novel quadratic projection based feature extractio...
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Learning DomainInvariant Subspace using Domain Features and Independence Maximization
Domain adaptation algorithms are useful when the distributions of the tr...
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A survey of sparse representation: algorithms and applications
Sparse representation has attracted much attention from researchers in f...
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Robust Scene Text Recognition Using Sparse Coding based Features
In this paper, we propose an effective scene text recognition method usi...
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SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet
Deep learning with a convolutional neural network (CNN) has been proved ...
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Iterated Support Vector Machines for Distance Metric Learning
Distance metric learning aims to learn from the given training data a va...
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Fast Tracking via SpatioTemporal Context Learning
In this paper, we present a simple yet fast and robust algorithm which e...
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Image Set based Collaborative Representation for Face Recognition
With the rapid development of digital imaging and communication technolo...
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A Local Active Contour Model for Image Segmentation with Intensity Inhomogeneity
A novel locally statistical active contour model (ACM) for image segment...
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Reinitialization Free Level Set Evolution via Reaction Diffusion
This paper presents a novel reactiondiffusion (RD) method for implicit ...
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Automatic Image Segmentation by Dynamic Region Merging
This paper addresses the automatic image segmentation problem in a regio...
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Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression
Arithmetic encoding is an essential class of coding techniques which hav...
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Dual Asymmetric Deep Hashing Learning
Due to the impressive learning power, deep learning has achieved a remar...
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Realworld Noisy Image Denoising: A New Benchmark
Most of previous image denoising methods focus on additive white Gaussia...
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A Trilateral Weighted Sparse Coding Scheme for RealWorld Image Denoising
Most of existing image denoising methods assume the corrupted noise to b...
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Remove Cosine Window from Correlation Filterbased Visual Trackers: When and How
Correlation filters (CFs) have been continuously advancing the stateof...
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Efficient and Effective ContextBased Convolutional Entropy Modeling for Image Compression
It has long been understood that precisely estimating the probabilistic ...
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Bit Efficient Quantization for Deep Neural Networks
Quantization for deep neural networks have afforded models for edge devi...
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David Zhang
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Chair Professor, Department of Computing, The Hong Kong Polytechnic University