Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …

In the past few years, the field of computer vision has gone through a revolution fueled
mainly by the advent of large datasets and the adoption of deep convolutional neural …

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 …

When considering person re-identification (re-ID) as a retrieval process, re-ranking is a
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …

Person re-identification (re-id) remains challenging due to significant intra-class variations
across different cameras. Recently, there has been a growing interest in using generative …

Person re-identification (ReID) is an important task in wide area video surveillance which
focuses on identifying people across different cameras. Recently, deep learning networks …

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 …

Person re-identification (ReID) is an important task in video surveillance and has various
applications. It is non-trivial due to complex background clutters, varying illumination …