An efficient and effective person re-identification (ReID) system relieves the users from
painful and boring video watching and accelerates the process of video analysis. Recently …

Arbitrary shape text detection in natural scenes is an extremely challenging task. Unlike
existing text detection approaches that only perceive texts based on limited feature …

Completing a corrupted image with correct structures and reasonable textures for a mixed
scene remains an elusive challenge. Since the missing hole in a mixed scene of a corrupted …

This paper studies the challenging person re-identification (Re-ID) task under the cloth-
changing scenario, where the same identity (ID) suffers from uncertain cloth changes. To …

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

Domain invariance and discrimination of learned features as two crucial factors affect the
performance of unsupervised domain adaptation (UDA) person re-identification (Re-ID) …

This article presents a novel person reidentification model, named multihead self-attention
network (MHSA-Net), to prune unimportant information and capture key local information …

Person re-identification has received a lot of attention from the research community in recent
times. Due to its vital role in security based applications, person re-identification lies at the …

Person re-identification (Re-ID) aims to search for the same pedestrian in different cameras,
which is a crucial research direction in pattern recognition. Recent deep learning methods …

In this paper, we propose a novel person Re-ID model, Consecutive Batch DropBlock
Network (CBDB-Net), to capture the attentive and robust person descriptor for the person Re …