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

Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …

Visible-infrared person re-identification (Re-ID) aims to match the pedestrian images of the
same identity from different modalities. Existing works mainly focus on alleviating the …

Person re-identification (re-ID) tackles the problem of matching person images with the
same identity from different cameras. In practical applications, due to the differences in …

Person re-identification (Re-ID) is to retrieve a particular person captured by different
cameras, which is of great significance for security surveillance and pedestrian behavior …

Person re-identification (Re-ID) aims to search for the same pedestrian in different cameras,
which is a crucial research direction in pattern recognition. Recent deep learning methods …

Recent studies have pointed out that many well-developed Visual Question Answering
(VQA) models are heavily affected by the language prior problem. It refers to making …

Accurate identification of protein function is critical to elucidate life mechanisms and design
new drugs. We proposed a novel deep-learning method, ATGO, to predict Gene Ontology …

Domain generalizable person re-identification (DG ReID) is a challenging problem, because
the trained model is often not generalizable to unseen target domains with different …

A practical long-term tracker typically contains three key properties, ie, an efficient model
design, an effective global re-detection strategy and a robust distractor awareness …