Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …

Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …

Person re-identification (Re-ID) plays an important role in many areas such as robotics,
multimedia and forensics. However, it becomes difficult when considering long-term …

Occlusion perturbation presents a significant challenge in person re-identification (re-ID),
and existing methods that rely on external visual cues require additional computational …

The performance of person re-identification (re-ID) is easily affected by illumination
variations caused by different shooting times, places and cameras. Existing illumination …

Person re-identification (Re-ID) has played an extremely crucial role in ensuring social
safety and has attracted considerable research attention. 3D shape information is an …

Occluded person re-identification (re-ID) presents a challenging task due to occlusion
perturbations. Although great efforts have been made to prevent the model from being …

Vehicle Re-Identification (ReID) aims to find images of the same vehicle from different
videos. It remains a challenging task in the video analysis field due to the huge appearance …

The goal of unsupervised person re-identification (Re-ID) is to use unlabeled person images
to learn discriminative features. In recent years, many approaches have adopted clustered …

Over the past few years, deep convolutional neural network-based methods have made
great progress in semantic segmentation of street scenes. Some recent methods align …