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

From a visual-perception perspective, modern graphical user interfaces (GUIs) comprise a
complex graphics-rich two-dimensional visuospatial arrangement of text, images, and …

Modeling visual saliency in graphical user interfaces (GUIs) allows to understand how
people perceive GUI designs and what elements attract their attention. One aspect that is …

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

We present a study of an artificial neural architecture that predict human ocular scanpaths
while they are free-viewing different images types. This analysis is made by comparing …

Visual Question Answering (VQA) in robotic surgery is rapidly becoming a pivotal
technology in medical AI, addressing the complex challenge of interpreting multimodal …

We introduce a new method called the Gaze Scanpath Transformer for predicting a search
target category during a visual search task. Previous methods for estimating visual search …

Medical eye-tracking data is an important information source for understanding how
radiologists visually interpret medical images. This information not only improves the …

Scanpath generation in 360° images aims to model the realistic trajectories of gaze points
that viewers follow when exploring panoramic environments. Existing methods for scanpath …

Predicting human scanpaths when exploring panoramic videos is a challenging task due to
the spherical geometry and the multimodality of the input, and the inherent uncertainty and …