
Multiplication fusion of sparse and collaborativecompetitive representation for image classification
Representation based classification methods have become a hot research t...
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Multifocus Image Fusion Based on Similarity Characteristics
A novel multifocus image fusion algorithm performed in spatial domain b...
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Classspecific residual constraint nonnegative representation for pattern classification
Representation based classification method (RBCM) remains one of the hot...
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Lowrank representations with incoherent dictionary for face recognition
Face recognition remains a hot topic in computer vision, and it is chall...
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Locality Constraint Dictionary Learning with Support Vector for Pattern Classification
Discriminative dictionary learning (DDL) has recently gained significant...
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Robust Visual Tracking via Implicit LowRank Constraints and Structural Color Histograms
With the guaranteed discrimination and efficiency of spatial appearance ...
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Collaborative representationbased robust face recognition by discriminative lowrank representation
We consider the problem of robust face recognition in which both the tra...
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Dual EncoderDecoder based Generative Adversarial Networks for Disentangled Facial Representation Learning
To learn disentangled representations of facial images, we present a Dua...
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Infrared and visible image fusion using a novel deep decomposition method
Infrared and visible image fusion is an important problem in image fusio...
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Adaptive Distraction Context Aware Tracking Based on Correlation Filter
The Discriminative Correlation Filter (CF) uses a circulant convolution ...
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Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
We propose a new Group Feature Selection method for Discriminative Corre...
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Multifocus Noisy Image Fusion using LowRank Representation
In the process of image acquisition, the noise is inevitable for source ...
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Infrared and Visible Image Fusion with ResNet and zerophase component analysis
In image fusion task, feature extraction and processing are keys for fus...
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Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
We present a new loss function, namely Wing loss, for robust facial land...
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Face Detection, Bounding Box Aggregation and Pose Estimation for Robust Facial Landmark Localisation in the Wild
We present a framework for robust face detection and landmark localisati...
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A Unified Tensorbased Active Appearance Face Model
Appearance variations result in many difficulties in face image analysis...
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Dynamic Attentioncontrolled Cascaded Shape Regression Exploiting Training Data Augmentation and Fuzzyset Sample Weighting
We present a new Cascaded Shape Regression (CSR) architecture, namely Dy...
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Dictionary Integration using 3D Morphable Face Models for Poseinvariant Collaborativerepresentationbased Classification
The paper presents a dictionary integration algorithm using 3D morphable...
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Evaluation of Dense 3D Reconstruction from 2D Face Images in the Wild
This paper investigates the evaluation of dense 3D face reconstruction f...
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Infrared and Visible Image Fusion using a Deep Learning Framework
In recent years, deep learning has become a very active research tool wh...
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DenseFuse: A Fusion Approach to Infrared and Visible Images
In this paper, we present a novel deep learning architecture for infrare...
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Multifocus Image Fusion using dictionary learning and LowRank Representation
Among the representation learning, the lowrank representation (LRR) is ...
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Infrared and visible image fusion using Latent LowRank Representation
Infrared and visible image fusion is an important problem in the field o...
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A Simple Riemannian Manifold Network for Image Set Classification
In the domain of imageset based classification, a considerable advance ...
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Multiple Manifolds Metric Learning with Application to Image Set Classification
In image set classification, a considerable advance has been made by mod...
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Component SPD Matrices: A lowerdimensional discriminative data descriptor for image set classification
In the domain of pattern recognition, using the SPD (Symmetric Positive ...
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Riemannian kernel based Nyström method for approximate infinitedimensional covariance descriptors with application to image set classification
In the domain of pattern recognition, using the CovDs (Covariance Descri...
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Semisupervised Hashing for SemiPaired CrossView Retrieval
Recently, hashing techniques have gained importance in largescale retri...
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Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification
In image set classification, a considerable progress has been made by re...
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Learning Adaptive Discriminative Correlation Filters via Temporal Consistency Preserving Spatial Feature Selection for Robust Visual Tracking
With efficient appearance learning models, Discriminative Correlation Fi...
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Landmark Weighting for 3DMM Shape Fitting
Human face is a 3D object with shape and surface texture. 3D Morphable M...
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Discriminative Supervised Hashing for CrossModal similarity Search
With the advantage of low storage cost and high retrieval efficiency, ha...
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Nonnegative representation based discriminative dictionary learning for face recognition
In this paper, we propose a nonnegative representation based discrimina...
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Fisher Discriminative Least Square Regression with SelfAdaptive Weighting for Face Recognition
As a supervised classification method, least square regression (LSR) has...
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LowRank Discriminative Least Squares Regression for Image Classification
Latest least squares regression (LSR) methods mainly try to learn slack ...
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Discriminative Supervised Hashing for CrossModal Retrieval
With the advantage of low storage cost and high retrieval efficiency, ha...
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Learning Discriminative Hashing Codes for CrossModal Retrieval based on Multiorder Statistical Features
Hashing techniques have been applied broadly in largescale retrieval ta...
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Transition Subspace Learning based Least Squares Regression for Image Classification
Only learning one projection matrix from original samples to the corresp...
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More About Covariance Descriptors for Image Set Coding: LogEuclidean Framework based Kernel Matrix Representation
We consider a family of structural descriptors for visual data, namely c...
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Crossmodal subspace learning with Kernel correlation maximization and Discriminative structure preserving
The measure between heterogeneous data is still an open problem. Many re...
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Unsupervised Concatenation Hashing with Sparse Constraint for CrossModal Retrieval
With the advantage of low storage cost and high efficiency, hashing lear...
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Learning a Representation with the BlockDiagonal Structure for Pattern Classification
Sparserepresentationbased classification (SRC) has been widely studied...
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An Accelerated Correlation Filter Tracker
Recent visual object tracking methods have witnessed a continuous improv...
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Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning
Face recognition has been widely studied due to its importance in smart ...
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Constructing the FGraph with a Symmetric Constraint for Subspace Clustering
Based on further studying the lowrank subspace clustering (LRSC) and L2...
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Research on Clustering Performance of Sparse Subspace Clustering
Recently, sparse subspace clustering has been a valid tool to deal with ...
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2DR1PCA and 2DL1PCA: two variant 2DPCA algorithms based on none L2 norm
In this paper, two novel methods: 2DR1PCA and 2DL1PCA are proposed for...
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A Compared Study Between Some Subspace Based Algorithms
The technology of face recognition has made some progress in recent year...
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Face Verification via learning the kernel matrix
The kernel function is introduced to solve the nonlinear pattern recogni...
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Improved dual channel pulse coupled neural network and its application to multifocus image fusion
This paper presents an improved dual channel pulse coupled neural networ...
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XiaoJun Wu
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