Low light images captured in a non-uniform illumination environment usually are degraded
with the scene depth and the corresponding environment lights. This degradation results in …

In this work, we propose a novel light field fusion network-LFNet, a CNNs-based light field
saliency model using 4D light field data containing abundant spatial and contextual …

The segmentation of skin lesions in dermoscopic images is a fundamental step in automated
computer-aided diagnosis of melanoma. Conventional segmentation methods, however …

Co-saliency detection aims at extracting the common salient regions from an image group
containing two or more relevant images. It is a newly emerging topic in computer vision …

Salient object detection aims to detect the most attractive objects in images, which has been
widely used as a fundamental of various multimedia applications. In this paper, we propose …

Surface defect inspection of no-service rail is important for safety of railway transportation.
However, there are several challenges of irregular defect boundary, similar foreground and …

Recently, the research field of salient object detection is undergoing a rapid and remarkable
development along with the wide usage of deep neural networks. Being trained with a large …

As a newly emerging and significant topic in computer vision community, co-saliency
detection aims at discovering the common salient objects in multiple related images. The …

Despite significant progress, image saliency detection still remains a challenging task in
complex scenes and environments. Integrating multiple different but complementary cues …

Image-based salient object detection (SOD) has been extensively studied in past decades.
However, video-based SOD is much less explored due to the lack of large-scale video …