RGB-Infrared person re-identification (RGB-IR Re-ID) is a cross-modality matching problem,
where the modality discrepancy is a big challenge. Most existing works use Euclidean metric …

Person re-identification (re-id) consists of associating individual across camera network,
which is valuable for intelligent video surveillance and has drawn wide attention. Although …

Generating a realistic person's image from one source pose conditioned on another different
target pose is a promising computer vision task. The previous mainstream methods mainly …

In this paper, we propose a preprocessing strategy for refining the pedestrian images in
person re-identification (re-id). The accomplishment of the person re-id task depends on the …

Person re-identification is an important topic in visual surveillance, which aims at
recognizing an individual over disjoint camera views. As a major aspect of person re …

Metric learning is an important issue in person re-identification, and Mahalanobis-distance
based metric learning methods prevail in this field. All of these approaches can be …

In this paper, we present multiple metric learning in kernel space to preferably get more
discriminative metrics. Usually, the kernel-based approaches exploit kernel trick to map …