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

Unsupervised domain adaptation algorithms aim to transfer the knowledge learned from one
domain to another (eg, synthetic to real images). The adapted representations often do not …

This paper aims to address the problem of pre-training for person re-identification (Re-ID)
with noisy labels. To setup the pre-training task, we apply a simple online multi-object …

Person re-identification (re-ID) aims at recognizing the same person from images taken
across different cameras. To address this challenging task, existing re-ID models typically …

In recent years, with the increasing demand for public safety and the rapid development of
intelligent surveillance networks, person re-identification (Re-ID) has become one of the hot …

Thanks for the cross-modal retrieval techniques, visible-infrared (RGB-IR) person re-
identification (Re-ID) is achieved by projecting them into a common space, allowing person …

Person re-identification (re-ID) tackles the problem of matching person images with the
same identity from different cameras. In practical applications, due to the differences in …

Person re-identification (Re-ID) has been widely studied and achieved significant progress.
However, traditional person Re-ID methods primarily rely on cloth-related color appearance …

Human identification is a key requirement for many applications in everyday life, such as
personalized services, automatic surveillance, continuous authentication, and contact …