In order to resist the adverse effect of viewpoint variations, we design quadruple directional
deep learning networks to extract quadruple directional deep learning features (QD-DLF) of …

Vehicle re-identification is one of the core technologies of intelligent transportation systems,
and it is crucial for the construction of smart cities. With the rapid development of deep …

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 (ReID) is of great significance for public security and intelligent
transportation. Large and comprehensive datasets are crucial for the development of vehicle …

Transformers are more and more popular in computer vision, which treat an image as a
sequence of patches and learn robust global features from the sequence. However, pure …

Vehicle re-identification (re-ID) has the huge potential to contribute to the intelligent video
surveillance. However, it suffers from challenges that different vehicle identities with a similar …

Vehicle re-identification (ReID) aims to retrieve the target vehicle in an extensive image
gallery through its appearances from various views in the cross-camera scenario. It has …

Vehicle re-identification (Re-ID) is one of the primary components of an automated visual
surveillance system. It aims to automatically identify/search vehicles in a multi-camera …

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

With the increasing prevalence of intelligent traffic control and monitoring, research on
vehicle re-identification (Re-ID) draws substantial attention in recent years. Different from …