As we navigate and behave in the world, we are constantly deciding, a few times per
second, where to look next. The outcomes of these decisions in response to visual input are …

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

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 …

Dozens of new models on fixation prediction are published every year and compared on
open benchmarks such as MIT300 and LSUN. However, progress in the field can be difficult …

Dynamical models make specific assumptions about cognitive processes that generate
human behavior. In data assimilation, these models are tested against time-ordered data …

The last years have seen a surge in models predicting the scanpaths of fixations made by
humans when viewing images. However, the field is lacking a principled comparison of …

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

When scanning a visual scene, we are in a constant decision process regarding whether to
further exploit the information content at the current fixation or to go on and explore the …

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 …

Bottom-up and top-down as well as low-level and high-level factors influence where we
fixate when viewing natural scenes. However, the importance of each of these factors and …