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Multiscale patch-based contrast measure for small infrared target detection
TLDR
A biologically inspired method called multiscale patch-based contrast measure (MPCM) is proposed for small IR target detection. Expand
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Shape matching and classification using height functions
TLDR
We propose a novel shape descriptor that captures both global and local shape features similar to recent works. Expand
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Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition
TLDR
We propose a novel hierarchical bilinear pooling framework to integrate multiple cross-layer features to enhance their representation capability for fine-grained visual recognition. Expand
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Segmentation of retinal blood vessels using the radial projection and semi-supervised approach
TLDR
A novel scheme of extracting the retinal vessels based on the radial projection and semi-supervised method is presented in this paper. Expand
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Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics
TLDR
In this paper, we propose a simultaneous intra-video and inter-video distance learning (SI2DL) approach for the video-based person re-id. Expand
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Efficient single image dehazing and denoising: An efficient multi-scale correlated wavelet approach
TLDR
This paper presents an efficient multi-scale correlated wavelet approach to solve the image dehazing and denoising problem in the frequency domain by exploiting the correlative relationships of wavelet coefficients for haze removal and texture enhancement simultaneously. Expand
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Super-resolution Person re-identification with semi-coupled low-rank discriminant dictionary learning
TLDR
We propose a semi-coupled low-rank discriminant dictionary learning (SLD2L) approach for SR person re-identification which learns a pair of HR and LR dictionaries and a mapping from the features of HR gallery images and LR probe images. Expand
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Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning
TLDR
We propose a semi-coupled low-rank discriminant dictionary learning (SLD2L) approach for SR person re-identification, which can convert the features of the LR probe images into HR features. Expand
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Writer identification of Chinese handwriting documents using hidden Markov tree model
TLDR
We present a novel method based on hidden Markov tree (HMT) model in wavelet domain for off-line, text-independent writer identification of Chinese handwriting documents. Expand
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Writer identification using global wavelet-based features
TLDR
We find that the global styles of different people's handwritings are obviously distinctive and the wavelet coefficients of preprocessed handwriting image can be well characterized by the generalized Gaussian model. Expand
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