Human faces are almost always the focus of visual attention because of the rich semantic
information therein. While some visual attention models incorporating face cues indeed …

Human faces are always the focus of visual attention since faces can provide plenty of
information. Although some visual attention models incorporating face cues work better in …

The focus of this article is to analyze and predict the visual attention of children with Autism
Spectrum Disorder (ASD) when looking at human faces. Social difficulties are the hallmark …

Faces play an important role in guiding visual attention, and thus, the inclusion of face
detection into a classical visual attention model can improve eye movement predictions. In …

Recently, videoconferencing has been popular in multimedia systems, such as FaceTime
and Skype. In videoconferencing, almost every frame contains a human face. Therefore, it is …

The past decade has witnessed the use of high-level features in saliency prediction for both
videos and images. Unfortunately, the existing saliency prediction methods only handle high …

Significant progress has been made in terms of computational models of bottom-up visual
attention (saliency). However, efficient ways of comparing these models for still images …

Computational visual attention models are a topic of increasing importance in computer
understanding of images. Most existing attention models are based on bottom-up …

Although the recent success of convolutional neural network (CNN) advances state-of-the-
art saliency prediction in static images, few work has addressed the problem of predicting …

Visual attention, which is an important characteristic of human visual system, is a useful clue
for image processing and compression applications in the real world. This paper proposes a …