Saliency detection aims at quantitatively predicting attended locations in an image. It may
mimic the selection mechanism of the human vision system, which processes a small subset …

Image fusion techniques aim at transferring useful information from the input source images
to the fused image. The common assumption for most fusion approaches is that the useful …

This paper advocates a novel multiscale, structure-sensitive saliency detection method,
which can distinguish multilevel, reliable saliency from various natural pictures in a robust …

This paper advocates a novel multi-scale mesh saliency method using the powerful low-rank
and sparse analysis in shape feature space. The technical core of our approach is a new …

In this paper, we propose a visual saliency detection algorithm which incorporates both
generative and discriminative saliency models into a unified framework. First, we develop a …

Saliency detection has been considered to be an important issue in many computer vision
tasks. In this paper, we propose a novel bottom-up saliency detection method based on …

In this paper, we propose a salient region detection algorithm from the point of view of
unique and compact representation of individual image. In first step, the original image is …

Deep neural networks (DNNs) have been extensively applied in image processing,
including visual saliency map prediction of images. A major difficulty in using a DNN for …

Modern clothes are designed based on various visual elements of different fashion styles.
Traditional vision-based clothes recommendation methods focused on searching clothes …

In this paper, we proposed an integrated model of semantic-aware and contrast-aware
saliency combining both bottom-up and top-down cues for effective saliency estimation and …