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Fast Visual Tracking via Dense Spatio-temporal Context Learning
In this paper, we present a simple yet fast and robust algorithm which exploits the dense spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationshipsExpand
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Robust Visual Tracking via Convolutional Networks Without Training
Deep networks have been successfully applied to visual tracking by learning a generic representation offline from numerous training images. However, the offline training is time-consuming and theExpand
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A nonlinear approach for face sketch synthesis and recognition
Most face recognition systems focus on photo-based face recognition. In this paper, we present a face recognition system based on face sketches. The proposed system contains two elements:Expand
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Solving the small sample size problem of LDA
The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scattering matrix S/sub w/ in linear discriminant analysis (LDA).Expand
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Face detection using improved LBP under Bayesian framework
In this paper, we present a novel face detection approach using improved local binary patterns (ILBP) as facial representation. ILBP feature is an improvement of LBP feature that considers both localExpand
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Image retrieval via probabilistic hypergraph ranking
In this paper, we propose a new transductive learning framework for image retrieval, in which images are taken as vertices in a weighted hypergraph and the task of image search is formulated as theExpand
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Abnormal detection using interaction energy potentials
A new method is proposed to detect abnormal behaviors in human group activities. This approach effectively models group activities based on social behavior analysis. Different from previous work thatExpand
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Learning active facial patches for expression analysis
In this paper, we present a new idea to analyze facial expression by exploring some common and specific information among different expressions. Inspired by the observation that only a few facialExpand
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Stacked Hourglass Network for Robust Facial Landmark Localisation
With the increasing number of public available training data for face alignment, the regression-based methods attracted much attention and have become the dominant methods to solve this problem.Expand
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Learning Multiscale Active Facial Patches for Expression Analysis
In this paper, we present a new idea to analyze facial expression by exploring some common and specific information among different expressions. Inspired by the observation that only a few facialExpand
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