Our subjective visual experiences involve complex interaction between our eyes, our brain,
and the surrounding world. It gives us the sense of sight, color, stereopsis, distance, pattern …

A visual scanpath represents the human eye movements when scanning the visual field for
acquiring and receiving visual information. Predicting visual scanpaths when a certain …

As a natural way for human-computer interaction, fixation provides a promising solution for
interactive image segmentation. In this paper, we focus on Personal Fixations-based Object …

Understanding the mechanisms underlying human visual attention is an important research
problem in cognitive neuroscience and computer vision. While existing models predict …

When viewing omnidirectional images (ODIs), viewers can access different viewports via
head movement (HM), which sequentially forms head trajectories in spatial-temporal …

Visual attention is a dynamic process of scene exploration and information acquisition.
However, existing research on attention modeling has concentrated on estimating static …

We extend decades of research on infants' visual processing by examining their eye gaze
during viewing of natural scenes. We examined the eye movements of a racially diverse …

A deep feature-based saliency model (DeepFeat) is developed to leverage understanding of
the prediction of human fixations. Conventional saliency models often predict the human …

Abstract The two-dimensional (2D) and three-dimensional (3D) user interfaces have been a
prominent topic of augmented reality (AR) research, and their impact on the efficacy and …

The recent advance on saliency models has remarkably improved performance due to the
pervasive application of deep convolutional neural networks. However, for more challenging …