In recent years, person re-identification (ReID) has received much attention since it is a
fundamental task in intelligent surveillance systems and has widespread application …

Although the performance of person Re-Identification (ReID) has been significantly boosted,
many challenging issues in real scenarios have not been fully investigated, eg, the complex …

The main contribution of this paper is a simple semi-supervised pipeline that only uses the
original training set without collecting extra data. It is challenging in 1) how to obtain more …

In this paper, we address the problem of person re-identification, which refers to associating
the persons captured from different cameras. We propose a simple yet effective human part …

Being a cross-camera retrieval task, person re-identification suffers from image style
variations caused by different cameras. The art implicitly addresses this problem by learning …

Person re-identification (Re-ID) is an important problem in video surveillance, aiming to
match pedestrian images across camera views. Currently, most works focus on RGB-based …

Person re-identification (re-ID) has become increasingly popular in the community due to its
application and research significance. It aims at spotting a person of interest in other …

In this article, we revisit two popular convolutional neural networks in person re-identification
(re-ID): verification and identification models. The two models have their respective …

Person re-identification (re-ID) is mostly viewed as an image retrieval problem. This task
aims to search a query person in a large image pool. In practice, person re-ID usually adopts …

Pedestrian misalignment, which mainly arises from detector errors and pose variations, is a
critical problem for a robust person re-identification (re-ID) system. With poor alignment, the …