Clothing-change person re-identification (CC Re-ID) aims to match the same person who
changes clothes across cameras. Current methods are usually limited by the insufficient …

Person re-identification (Re-ID) has played an extremely crucial role in ensuring social
safety and has attracted considerable research attention. 3D shape information is an …

Abstract Video-based Cloth-Changing Person Re-ID (VCCRe-ID) refers to a real-world Re-
ID problem where texture information like appearance or clothing becomes unreliable in …

Re-identification (ReID) of occluded persons is a challenging task due to the loss of
information in scenes with occlusions. Most existing methods for occluded ReID use 2D …

Current state-of-the-art Video-based Person Re-Identification (Re-ID) primarily relies on
appearance features extracted by deep learning models. These methods are not applicable …

In various domains such as surveillance and smart retail pedestrian retrieval centering on
person re-identification (Re-ID) plays a pivotal role. Existing Re-ID methodologies often …

Unsupervised domain adaptation (UDA) techniques for person re-identification (ReID) have
been extensively studied to facilitate the transfer of knowledge from labeled source domains …

Recent development in computing power has resulted in performance improvements on
holistic (none-occluded) person Re-Identification (ReID) tasks. Nevertheless, the precision …

This research aims to study a self-supervised 3D clothing reconstruction method, which
recovers the geometry shape and texture of human clothing from a single image. Compared …

Low-resolution person re-identification is a challenging task to match low-resolution (LR)
probes with high-resolution (HR) gallery images. To address the resolution gap, existing …