Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …

Abstract Object Re-identification (Re-ID) aims to identify specific objects across different
times and scenes, which is a widely researched task in computer vision. For a prolonged …

We introduce SEAS using ShapE-Aligned Supervision to enhance appearance-based
person re-identification. When recognizing an individual's identity existing methods primarily …

The current state of re-identification (ReID) models poses limitations to their applicability in
the open world, as they are primarily designed and trained for specific categories like person …

Partial person re-identification (ReID) aims to solve the problem of image spatial
misalignment due to occlusions or out-of-views. Despite significant progress through the …

Video-based person re-identification (re-ID) aims at matching the same person across video
clips. Efficiently exploiting multi-scale fine-grained features while building the structural …

Person re-identification (re-ID) concerns the matching of subject images across different
camera views in a multi camera surveillance system. One of the major challenges in person …

Identifying individuals in unconstrained video settings is a valuable yet challenging task in
biometric analysis due to variations in appearances, environments, degradations, and …

Occluded person re-identification (Re-ID) focuses on addressing the occlusion problem
when retrieving the person of interest across non-overlap** cameras. With the increasing …