In recent years, the research community has approached the problem of vehicle re-
identification (re-id) with attention-based models, specifically focusing on regions of a …

One fundamental challenge of vehicle re-identification (re-id) is to learn robust and
discriminative visual representation, given the significant intra-class vehicle variations …

Abstract The AI City Challenge has been created to accelerate intelligent video analysis that
helps make cities smarter and safer. With millions of traffic video cameras acting as sensors …

Vehicle re-identification (Re-ID) aims to obtain the same vehicles from vehicle images.
Vehicle Re-ID is challenging but important for analyzing and predicting traffic flow in the city …

Surveillance cameras are widely deployed traffic sensors, due to their affordable prices and
being able to capture rich information. However, current surveillance systems have not been …

Vehicle re-identification (re-ID) aims to discover and match the target vehicles from a gallery
image set taken by different cameras on a wide range of road networks. It is crucial for lots of …

In this paper, we focus on the problem of novel view synthesis for vehicles. Some previous
works solve the problem of novel view synthesis in a controlled 3D environment by …

Domain generalization person re-identification (DG-ReID) has gained much attention
recently due to the poor performance of supervised re-identification on unseen domains …

Vehicle re-identification aims to identify vehicles from different cameras and has drawn
much attention in the multimedia community. In recent years, significant achievements in …

Vehicle reidentification, aiming at identifying vehicles across images, has drawn a lot of
attention and has made significant achievements in recent years. However, vehicle …