Vehicle Re-identification (re-id) over surveillance camera network with non-overlap** field
of view is an exciting and challenging task in intelligent transportation systems (ITS). Due to …

Group re-identification (G-ReID) is an important yet less-studied task. Its challenges not only
lie in appearance changes of individuals, but also involve group layout and membership …

Without tedious and time-consuming labeling processes, virtual datasets have recently
shown their superiority for vehicle re-identification (re-ID). Existing virtual to real vehicle re …

We describe in this paper a Two-Stream Siamese Neural Network for vehicle re-
identification. The proposed network is fed simultaneously with small coarse patches of the …

Few-shot learning is a challenging problem that has attracted more and more attention
recently since abundant training samples are difficult to obtain in practical applications. Meta …

In urban surveillance systems, finding a specific vehicle in video frames efficiently and
accurately has always been an essential part of traffic supervision and criminal investigation …

Abstract Vehicle Re-identification (Re-ID) has drawn extensive exploration recently;
nevertheless, the issue of accurately distinguishing features in latent space across varying …

Vehicle re-identification (Re-ID) research has intensified as numerous advancements have
been made along with the rapid development of person Re-ID. In this paper, we tackle the …

Datasets are the important part of vehicle re-identification (re-id) research. The dataset
which represents real world environment is crucial to vehicle re-id steps such as learning …

Recent efforts have been increasingly made on vehicle reidentification (re-ID), which has
huge contributions to intelligent transportation and criminal investigation. However, most …