Attention is the important ability to flexibly control limited computational resources. It has
been studied in conjunction with many other topics in neuroscience and psychology …

Predicting human gaze is important in Human-Computer Interaction (HCI). However, to
practically serve HCI applications, gaze prediction models must be scalable, fast, and …

The prediction of human gaze behavior is important for building human-computer interaction
systems that can anticipate the user's attention. Computer vision models have been …

Many animals and humans process the visual field with a varying spatial resolution
(foveated vision) and use peripheral processing to make eye movements and point the …

Inspired by human visual attention, we propose a novel inverse reinforcement learning
formulation using Maximum Entropy Deep Inverse Reinforcement Learning (MEDIRL) for …

Most models of visual attention aim at predicting either top-down or bottom-up control as
studied using different visual search and free-viewing tasks. In this paper we propose the …

Human efficiency in finding a target in an image has attracted the attention of machine
learning researchers, but what about when no target is there? Knowing how people search …

People make eye movements while interacting with objects, and these behaviors are rich
with information about how visual goals are represented in the brain and used to prioritize …

How do spatial constraints and meaningful scene regions interact to control overt attention
during visual search for objects in real-world scenes? To answer this question, we combined …

Most models of visual attention are aimed at predicting either top-down or bottom-up control,
as studied using different visual search and free-viewing tasks. We propose Human …