The widespread use of mobile devices and sensors has motivated data-driven applications
that can leverage the power of big data to benefit many aspects of our daily life, such as …

The vehicle re-identification (Re-ID) has become one of most important techniques for
tracking vehicles in intelligent transport system. Vehicle Re-ID aims at matching identical …

Abstract The AI City Challenge's seventh edition emphasizes two domains at the intersection
of computer vision and artificial intelligence-retail business and Intelligent Traffic Systems …

Given a portrait image of a person and an environment map of the target lighting, portrait
relighting aims to re-illuminate the person in the image as if the person appeared in an …

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

Deep learning-based face recognition models follow the common trend in deep neural
networks by utilizing full-precision floating-point networks with high computational costs …

Visual Instance Retrieval (VIR) is a hot research topic for its wide application in real world,
such as object re-identification in smart city scenarios. However, due to the limited style …

As a significant part of Intelligent Transportation System (ITS), vehicle Re-Identification (Re-
ID) aims to retrieve all target vehicle images captured from non-overlapping cameras …

As a significant topic in Intelligent Transportation Systems (ITS), vehicle Re-Identification (Re-
ID) has attracted increasing research attention. However, the variation of shooting scenes …

Abstract Vehicle Re-Identification (V-ReID) is a critical task that associates the same vehicle
across images from different camera viewpoints. Many works explore attribute clues to …