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Deep-Masking Generative Network: A Unified Framework for Background Restoration from Superimposed Images
Restoring the clean background from the superimposed images containing a...
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Designing and Training of A Dual CNN for Image Denoising
Deep convolutional neural networks (CNNs) for image denoising have recen...
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Embedding-based Retrieval in Facebook Search
Search in social networks such as Facebook poses different challenges th...
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Learning Context-Based Non-local Entropy Modeling for Image Compression
The entropy of the codes usually serves as the rate loss in the recent l...
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Biometric Recognition Using Deep Learning: A Survey
Deep learning-based models have been very successful in achieving state-...
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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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Non-negative Sparse and Collaborative Representation for Pattern Classification
Sparse representation (SR) and collaborative representation (CR) have be...
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Efficient and Effective Context-Based Convolutional Entropy Modeling for Image Compression
It has long been understood that precisely estimating the probabilistic ...
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Remove Cosine Window from Correlation Filter-based Visual Trackers: When and How
Correlation filters (CFs) have been continuously advancing the state-of-...
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Learning Content-Weighted Deep Image Compression
Learning-based lossy image compression usually involves the joint optimi...
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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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A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising
Most of existing image denoising methods assume the corrupted noise to b...
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Simultaneous Fidelity and Regularization Learning for Image Restoration
Most existing non-blind restoration methods are based on the assumption ...
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Real-world Noisy Image Denoising: A New Benchmark
Most of previous image denoising methods focus on additive white Gaussia...
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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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Efficient Trimmed Convolutional Arithmetic Encoding for Lossless Image Compression
Arithmetic encoding is an essential class of coding techniques which hav...
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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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Multi-channel 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 Content-weighted Image Compression
Lossy image compression is generally formulated as a joint rate-distorti...
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Deep Identity-aware Transfer of Facial Attributes
This paper presents a Deep convolutional network model for Identity-Awar...
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Convolutional Network for Attribute-driven and Identity-preserving Human Face Generation
This paper focuses on the problem of generating human face pictures from...
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Multi-modal 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 Domain-Invariant 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 Spatio-Temporal 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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Re-initialization Free Level Set Evolution via Reaction Diffusion
This paper presents a novel reaction-diffusion (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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