Vehicle re-identification (V-reID) has become significantly popular in the community due to
its applications and research significance. In particular, the V-reID is an important problem …

The way people walk is a strong correlate of their identity. Several studies have shown that
both humans and machines can recognize individuals just by their gait, given that proper …

Visible-infrared person re-identification (Re-ID) aims to match the pedestrian images of the
same identity from different modalities. Existing works mainly focus on alleviating the …

Person re-IDentification (re-ID) under various occlusions has been a long-standing
challenge as person images with different types of occlusions often suffer from misalignment …

Model learning from class imbalanced training data is a long-standing and significant
challenge for machine learning. In particular, existing deep learning methods consider …

Vehicle re-identification (re-ID) has the huge potential to contribute to the intelligent video
surveillance. However, it suffers from challenges that different vehicle identities with a similar …

This paper targets on the problem of set to set recognition, which learns the metric between
two image sets. Images in each set belong to the same identity. Since images in a set can be …

Current person re-identification (re-id) methods typically rely on single-frame imagery
features, and ignore space-time information from image sequences. Single-frame (single …

The challenge of person re-identification (re-id) is to match individual images of the same
person captured by different nonoverlap** camera views against significant and unknown …