With the development of smart cities, urban surveillance video analysis plays a further
significant role in intelligent transportation systems. Vehicle re-identification (re-ID) aims at …

Vehicle re-identification (Re-ID) has been attracting more interests in computer vision owing
to its great contributions in urban surveillance and intelligent transportation. With the …

Vehicle re-identification has attracted tremendous attention from computer vision
communities for its extensive applications in intelligent transportation and public security …

Vehicle re-identification is an important problem and becomes desirable with the rapid
expansion of applications in video surveillance and intelligent transportation. By recalling …

Existing vehicle re-identification (re-id) evaluation benchmarks consider strongly artificial
test scenarios by assuming the availability of high quality images and fine-grained …

In this report, we present the Baidu-UTS submission to the AICity Challenge in CVPR 2020.
This is the winning solution to the vehicle re-identification (re-id) track. We focus on …

Vehicle re-identification (re-ID) is to identify the same vehicle across different cameras. It'sa
significant but challenging topic, which has received little attention due to the complex intra …

Vehicle Re-Identification (Re-ID) is challenging because vehicles of the same model
commonly show similar appearance. We tackle this challenge by proposing a Global …

Vehicle reidentification (reID) targets at matching same vehicle images captured from
multicameras, which has become a hot topic in recent years. However, it poses the critical …

Vehicle re-identification aims to identify the same vehicle across different surveillance
cameras and plays an important role in public security. Existing approaches mainly focus on …