Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …

In various examples, detected object data representative of locations of detected objects in a
field of view may be determined. One or more clusters of the detected objects may be …

The goal of person search is to localize a target person from a gallery set of scene images,
which is extremely challenging due to large scale variations, pose/viewpoint changes, and …

Person re-identification has achieved great progress with deep convolutional neural
networks. However, most previous methods focus on learning individual appearance feature …

We propose a novel one-step transformer-based person search framework, PSTR, that
jointly performs person detection and re-identification (re-id) in a single architecture. PSTR …

In this work, we tackle the problem of person search, which is a challenging task consisted of
pedestrian detection and person re-identification~(re-ID). Instead of sharing representations …