The objective of the occluded person re-identification (ReID) task is to capture the same
person from different camera angles when the pedestrian's body is partially occluded. In this …

Currently, most existing person re-identification methods use instance-level features, which
are extracted only from a single image. However, these instance-level features can easily …

Due to the lack of a specific design for scenarios such as scale change, illumination
difference, and occlusion, current person re-identification methods are difficult to put into …

Occluded person re-identification (Re-ID) aims to address the potential occlusion problem
when matching occluded or holistic pedestrians from different camera views. Many methods …

Pre-training is playing an increasingly important role in learning generic feature
representation for Person Re-identification (ReID). We argue that a high-quality ReID …

Occluded person re-identification (ReID) is a very challenging task due to the occlusion
disturbance and incomplete target information. Leveraging external cues such as human …

The paper introduces the Decouple Re-identificatiOn and human Parsing (DROP) method
for occluded person re-identification (ReID). Unlike mainstream approaches using global …

Composed image retrieval (CoIR) involves a multi-modal query of the reference image and
modification text describing the desired changes, allowing users to express image retrieval …

Person re-identification (Re-ID) is focused on identifying and matching the same pedestrian
when captured across various surveillance cameras. However, variations in camera …

Occluded person re-identification (ReID) is a challenging task as the images suffer from
various obstacles and less discriminative information caused by incomplete body parts. Most …