Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …

Abstract Pose Guided Person Image Generation (PGPIG) is the task of transforming a
person image from the source pose to a given target pose. Most of the existing methods only …

Visible thermal person re-identification (VT-REID) is a task of matching person images
captured by thermal and visible cameras, which is an extremely important issue in night-time …

Traditional person re-identification (re-id) methods perform poorly under changing
illuminations. This situation can be addressed by using dual-cameras that capture visible …

Current deep learning methods seldom consider the effects of small pedestrian ratios and
considerable differences in the aspect ratio of input images, which results in low pedestrian …

Most of current person re-identification (ReID) methods neglect a spatial-temporal constraint.
Given a query image, conventional methods compute the feature distances between the …

Visible thermal person re-identification (VT-ReID) is a challenging cross-modality pedestrian
retrieval problem due to the large intra-class variations and modality discrepancy across …

In this paper, we focus on the one-example person re-identification (re-ID) task, where each
identity has only one labeled example along with many unlabeled examples. We propose a …

Person re-identification is a challenging research issue in computer vision and has a broad
application prospect in intelligent security. In recent years, with the emergence of large-scale …

The high similarities of different real-world vehicles and great diversities of the acquisition
views pose grand challenges to vehicle re-identification (ReID), which traditionally maps the …