Person re-identification across disjoint camera views has been widely applied in video
surveillance yet it is still a challenging problem. One of the major challenges lies in the lack …

Metro passenger flow prediction is a strategically necessary demand in an intelligent
transportation system to alleviate traffic pressure, coordinate operation schedules, and plan …

We focus on the occlusion problem in person re-identification (re-id), which is one of the
main challenges in real-world person retrieval scenarios. Previous methods on the occluded …

Visible-Infrared person reidentification (VI-ReID) is a challenging matching problem due to
large modality variations between visible and infrared images. Existing approaches usually …

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 …

Despite the promising progress made in recent years, person reidentification (re-ID) remains
a challenging task due to the complex variations in human appearances from different …

Convolution neural networks (CNNs) and graph representation learning are two common
methods for hyperspectral image (HSI) classification. Recently, graph convolutional neural …

In recent years, hypergraph modeling has shown its superiority on correlation formulation
among samples and has wide applications in classification, retrieval, and other tasks. In all …

Due to the domain shift between source dataset and target dataset, most of the existing
person re-identification (PRID) algorithms trained by a supervised learning framework often …

Person reidentification (re-id), as an important task in video surveillance and forensics
applications, has been widely studied. Previous research efforts toward solving the person …