Personalized text-to-image generation has emerged as a powerful and
soug...
Multi-object tracking (MOT) at low frame rates can reduce computational,...
Using functional magnetic resonance imaging (fMRI) and deep learning to
...
Using deep learning models to recognize functional brain networks (FBNs)...
Existing unsupervised person re-identification methods only rely on visu...
In this paper we propose a new method to learn the underlying acyclic mi...
Existing person re-identification methods rely on the visual sensor to
c...
Person re-identification is a crucial task of identifying pedestrians of...
This paper presents a review of the 2018 WIDER Challenge on Face and
Ped...
Video-based person re-identification is a crucial task of matching video...