Common spatial pattern (CSP)-based spatial filtering has been most popularly applied to
electroencephalogram (EEG) feature extraction for motor imagery (MI) classification in brain …

The fusion of complementary information contained in multi-modality data [eg, magnetic
resonance imaging (MRI), positron emission tomography (PET), and genetic data] has …

This paper introduces an unsupervised adversarial similarity network for image registration.
Unlike existing deep learning registration methods, our approach can train a deformable …

Vision tracking is a well-studied framework in vision computing. Developing a robust visual
tracking system is challenging because of the sudden change in object motion, cluttered …

With a large number of video surveillance systems installed for the requirement from
industrial security, the task of object tracking, which aims to locate objects of interest in …

Modern soccer increasingly places trust in visual analysis and statistics rather than only
relying on the human experience. However, soccer is an extraordinarily complex game that …

Unmanned aerial vehicle (UAV)-based tracking finds its applications in agriculture, aviation,
navigation, transportation and public security, etc and develops rapidly recently. However …

Correlation filter (CF)-based trackers have aroused increasing attention in the visual tracking
field due to the superior performance on several datasets while maintaining high running …

Multiview learning has received extensive research interest and has demonstrated
promising results in recent years. Despite the progress made, there are two significant …

The discriminative correlation filter (DCF) is one of the crucial visual tracking methods, and it
has outstanding performance. Nevertheless, DCF-based methods have an unavoidable …