Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

Nowadays, 360° video/image has been increasingly popular and drawn great attention. The
spherical viewing range of 360° video/image accounts for huge data, which pose the …

FovVideoVDP is a video difference metric that models the spatial, temporal, and peripheral
aspects of perception. While many other metrics are available, our work provides the first …

Head movement prediction is the key enabler for the emerging 360-degree videos since it
can enhance both streaming and rendering efficiency. To achieve accurate head movement …

Virtual reality (VR) is rapidly growing, with the potential to change the way we create and
consume content. In VR, users integrate multimodal sensory information they receive to …

Research on visual attention in 360° content is crucial to understand how people perceive
and interact with this immersive type of content and to develop efficient techniques for …

Recently, with the advent of deep convolutional neural networks (DCNN), the improvements
in visual saliency prediction research are impressive. One possible direction to approach the …

Recent advances of deep learning-based approaches have achieved remarkable
performance on appearance-based gaze estimation. However, due to the shortage of target …

Scanpath prediction for 360deg images aims to produce dynamic gaze behaviors based on
the human visual perception mechanism. Most existing scanpath prediction methods for …

The visual representation of human-like entities in virtual worlds is becoming a very
important aspect as virtual reality becomes more and more “social”. The visual …