Salient object detection, which simulates human visual perception in locating the most
significant object (s) in a scene, has been widely applied to various computer vision tasks …

Detecting and segmenting salient objects from natural scenes, often referred to as salient
object detection, has attracted great interest in computer vision. While many models have …

When considering person re-identification (re-ID) as a retrieval process, re-ranking is a
critical step to improve its accuracy. Yet in the re-ID community, limited effort has been …

Person Re-identification (re-id) faces two major challenges: the lack of cross-view paired
training data and learning discriminative identity-sensitive and view-invariant features in the …

In this paper, we tackle the vehicle Re-identification (ReID) problem which is of great
importance in urban surveillance and can be used for multiple applications. In our vehicle …

Most existing person re-identification algorithms either extract robust visual features or learn
discriminative metrics for person images. However, the underlying manifold which those …

The challenge of person re-identification (re-id) is to match individual images of the same
person captured by different nonoverlapping camera views against significant and unknown …

Video-based person re-identification (re-id) is a central application in surveillance systems
with a significant concern in security. Matching persons across disjoint camera views in their …

Vehicle re-identification (re-ID) is an area that has received far less attention in the computer
vision community than the prevalent person re-ID. Possible reasons for this slow progress …

Dietary studies showed that dietary problems such as obesity are associated with other
chronic diseases, including hypertension, irregular blood sugar levels, and increased risk of …