Pre-trained vision-language models like CLIP have recently shown superior performances
on various downstream tasks, including image classification and segmentation. However, in …

Abstract Domain Generalizable Person Re-Identification (DG-ReID) is a more practical ReID
task that is trained from multiple source domains and tested on the unseen target domains …

Large-scale datasets have played a crucial role in the advancement of computer vision.
However, they often suffer from problems such as class imbalance, noisy labels, dataset …

Recently, visual-language learning has shown great potential in enhancing visual-based
person re-identification (ReID). Existing visual-language learning-based ReID methods …

Abstract ultimodal Person Re-identification is gaining popularity in the research community
due to its effectiveness compared to counter-part unimodal frameworks. However, the …

Existing deep learning methods for fine-grained visual recognition often rely on large-scale,
well-annotated training data. Obtaining fine-grained annotations in the wild typically requires …

Person re-identification (Re-ID) is a challenging task that involves identifying the same
person across different camera views in surveillance systems. Current methods usually rely …

Recent advancements in pre-trained vision-language models like CLIP have shown promise
in person re-identification (ReID) applications. However, their performance in generalizable …