Audio information has been bypassed by most of current visual attention prediction studies.
However, sound could have influence on visual attention and such influence has been …

Visual and audio events simultaneously occur and both attract attention. However, most
existing saliency prediction works ignore the influence of audio and only consider vision …

Over the past few years, deep neural networks (DNNs) have exhibited great success in
predicting the saliency of images. However, there are few works that apply DNNs to predict …

The scanpath is an important concept in eye tracking. It refers to a person's eye movements
over a period of time, commonly represented as a series of alternating fixations and …

Audio information has not been considered an important factor in visual attention models
regardless of many psychological studies that have shown the importance of audio …

Recently, video streams have occupied a large proportion of Internet traffic, most of which
contain human faces. Hence, it is necessary to predict saliency on multiple-face videos …

Audio information is essential for guiding human attention and visual perception, which has
been verified by many comprehensive psychological studies. However, the audio modality …

Deep neural networks (DNNs) have exhibited great success in image saliency prediction.
However, few works apply DNNs to predict the saliency of generic videos. In this paper, we …

The fast and tremendous evolution of the unmanned aerial vehicle (UAV) imagery gives
place to the multiplication of applications in various fields such as military and civilian …

Visual saliency models mimic the human visual system to gaze towards fixed pixel positions
and capture the most conspicuous regions in the scene. They have proved their efficacy in …