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

Gaze tracking estimates and tracks the user's gaze by analyzing facial or eye features, it is
an important way to realize automated vision-based interaction. This paper introduces the …

Gaze estimation is a fundamental task in many applications of computer vision, human
computer interaction and robotics. Many state-of-the-art methods are trained and tested on …

Understanding where people are looking is an informative social cue. In this work, we
present Gaze360, a large-scale remote gaze-tracking dataset and method for robust 3D …

From scientific research to commercial applications, eye tracking is an important tool across
many domains. Despite its range of applications, eye tracking has yet to become a pervasive …

In this work, we consider the problem of robust gaze estimation in natural environments.
Large camera-to-subject distances and high variations in head pose and eye gaze angles …

Eye gaze is an important non-verbal cue for human affect analysis. Recent gaze estimation
work indicated that information from the full face region can benefit performance. Pushing …

Appearance-based gaze estimation is believed to work well in real-world settings, but
existing datasets have been collected under controlled laboratory conditions and methods …

Currently, as there is a spike in the number of examinations being conducted online, there is
also an increasing need for proctors, a resource that soon got overwhelmed. Proctors are …

Learning-based methods for appearance-based gaze estimation achieve state-of-the-art
performance in challenging real-world settings but require large amounts of labelled training …