Multi-view subspace clustering algorithms have recently been developed to process multi-
view dataset clustering by accurately depicting the essential characteristics of multi-view …

Multi-modal feature fusion and saliency reasoning are two core sub-tasks of RGB-D salient
object detection. However, most existing models employ linear fusion strategies (eg …

Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …

In this paper, we introduce a novel approach to identify salient object regions in videos via
object proposals. The core idea is to solve the saliency detection problem by ranking and …

Iceberg distribution, dispersion and melting patterns are fundamental aspects in the balance
of heat and freshwater in the Southern Ocean; yet these features are not fully understood …

Backlit images are usually taken when the light source is opposite to the camera. The
uneven exposure (eg, underexposure on the foreground and overexposure on the …

Most existing RGB-D salient object detectors make use of the complementary information of
RGB-D images to overcome the challenging scenarios, eg, low contrast, clutter …

Despite recent advances made in salient object detection using graph theory, the approach
still suffers from accuracy problems when the image is characterized by a complex structure …

Most existing RGB-D salient object detection (SOD) models adopt a two-stream structure to
extract the information from the input RGB and depth images. Since they use two …

Video salient object detection (VSOD), aiming to detect the most conspicuous objects or
regions in a video, has become an important research topic over the past few years …