In the evolving landscape of surveillance and security applications, the task of person re-
identification (re-ID) has significant importance, but also presents notable difficulties. This …

The goal of person reidentification (Re-ID) is to identify a given pedestrian from a network of
nonoverlapping surveillance cameras. Most existing works follow the supervised learning …

We consider a scenario where we have access to the target domain, but cannot afford on-
the-fly training data annotation, and instead would like to construct an alternative training set …

Pedestrian attribute recognition (PAR) and re-identification (ReID) are important works in the
area of computer vision, which are widely used in intelligent surveillance and are of great …

Data drift is a thorny challenge when deploying person re-identification (ReID) models into
real-world devices, where the data distribution is significantly different from that of the …

Pedestrian gender classification is one of the key assignments of pedestrian study, and it
finds practical applications in content-based image retrieval, population statistics, human …

Video surveillance is an indispensable part of the smart city for public safety and security.
Person Re-Identification (Re-ID), as one of elementary learning tasks for video surveillance …

Consider a scenario where we are supplied with a number of ready-to-use models trained
on a certain source domain and hope to directly apply the most appropriate ones to different …

Most person re-identification approaches and benchmarks assume that pedestrians go
across the surveillance network without significant appearance changes in a brief period …

Multi-Object Tracking (MOT) and Person Search both demand to localize and identify
specific targets from raw image frames. Existing methods can be classified into two …