Current research evaluates person search, multi-object tracking and multi-person pose
estimation as separate tasks and on different datasets although these tasks are very akin to …

Abstract Person Re-Identification (ReID) is an essential technology for matching a person
across non-overlapping cameras. It has attracted increasing attention in recent years due to …

Multi-person pose tracking is an important element for many applications and requires to
estimate the human poses of all persons in a video and to track them over time. The …

Abstract Re-identification (Re-ID) is a process that seeks to identify concern individuals from
successive non-overlapping photographs. The area of computer vision has recently seen an …

This work focuses on the task of Video-based Visible-Infrared Person Re-Identification, a
promising technique for achieving 24-hour surveillance systems. Two main issues in this …

Cloud detection is one of the key technologies in the field of remote sensing. Although
extensive deep learning-based cloud detection methods achieve good performance, their …

Person re-identification (Re-ID) is a classical computer vision task and has achieved great
progress so far. Recently, long-term Re-ID with clothes-changing has attracted increasing …

Video-based person re-identification (Re-ID), a subset of retrieval tasks, faces challenges
like uncoordinated sample capturing, viewpoint variations, occlusions, cluttered …

Video-based visible-infrared person re-identification (VVI-ReID) aims to retrieve video
sequences of the same pedestrian from different modalities. The key of VVI-ReID is to learn …

Person re-identification via 3D skeletons is an important emerging research area that
triggers great interest in the pattern recognition community. With distinctive advantages for …