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 …

Latest developments in computer hardware, sensor technologies, and artificial intelligence
can make virtual reality (VR) and virtual spaces an important part of human everyday life …

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

Panoramic video provides immersive and interactive experience by enabling humans to
control the field of view (FoV) through head movement (HM). Thus, HM plays a key role in …

Automatic saliency prediction in 360 videos is critical for viewpoint guidance applications
(eg, Facebook 360 Guide). We propose a spatial-temporal network which is (1) …

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 …

Visual saliency models have enjoyed a big leap in performance in recent years, thanks to
advances in deep learning and large scale annotated data. Despite enormous effort and …

Humans typically move their eyes in “scanpaths” of fixations linked by saccades. Here we
present DeepGaze III, a new model that predicts the spatial location of consecutive fixations …

Abstract Blind Omnidirectional Image Quality Assessment (BOIQA) aims to objectively
assess the human perceptual quality of omnidirectional images (ODIs) without relying on …

Understanding how attention varies across individuals has significant scientific and societal
impacts. However existing visual scanpath models treat attention uniformly neglecting …