Person re-identification aims to retrieve persons in highly varying settings across different
cameras and scenarios, in which robust and discriminative representation learning is …

When considering person re-identification (re-ID) as a retrieval process, re-ranking is a
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …

Person re-identification is a challenging retrieval task that requires matching a person's
acquired image across non-overlap** camera views. In this paper we propose an effective …

Person reidentification is a key technique to match different persons observed in
nonoverlap** camera views. Many researchers treat it as a special object-retrieval …

Person re-identification addresses the problem of matching people across disjoint camera
views and extensive efforts have been made to seek either the robust feature representation …

In this work, a real-time end-to-end person re-identification (Re-ID) system is developed for a
realistic unconstrained open-world environment. The raw surveillance videos are analyzed …

Vehicle re-identification (re-ID) remains an unproblematic problem due to the complicated
variations in vehicle appearances from multiple camera views. Most existing algorithms for …

Vehicle re-identification (re-ID), namely, finding exactly the same vehicle from a large
number of vehicle images, remains a great challenge in computer vision. Most existing …

Person re-identification (re-ID) is one of the essential tasks for modern visual intelligent
systems to identify a person from images or videos captured at different times, viewpoints …