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Chapter and Conference Paper
Self-distillation Enhanced Vertical Wavelet Spatial Attention for Person Re-identification
Person re-identification is a challenging problem in computer vision, aiming to accurately match and recognize the same individual across different viewpoints and cameras. Due to significant variations in appe...
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Article
Self-aware circular response-guided attention for robust siamese tracking
Siamese trackers recently have achieved remarkable advancements in accuracy, yet the further improvement is subject to semantic interferences. An potential reason may be the lack of prior information in visual...
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Article
Open AccessA study on the differential of solid lung adenocarcinoma and tuberculous granuloma nodules in CT images by Radiomics machine learning
To study the classification efficiency of using texture feature machine learning method in distinguishing solid lung adenocarcinoma (SADC) and tuberculous granulomatous nodules (TGN) that appear as solid nodul...
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Article
Nonnegative Constrained Graph Based Canonical Correlation Analysis for Multi-view Feature Learning
Understanding and analyzing multi-view data is a fundamental research topic of feature learning for a wide range of practical applications such as image classification. Canonical correlation analysis (CCA) is ...
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Chapter and Conference Paper
Cross-Layer Convolutional Siamese Network for Visual Tracking
In most trackers for visual tracking, Siamese network based trackers construct a pair of twin structures to learn a similarity metric between tracked object and search region to predict the position of the obj...
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Chapter and Conference Paper
Two-Dimensional Euler PCA for Face Recognition
Principal component analysis (PCA) projects data on the directions with maximal variances. Since PCA is quite effective in dimension reduction, it has been widely used in computer vision. However, conventional...
