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

In this paper, a review is presented for the research on eye gaze estimation techniques and
applications, which has progressed in diverse ways over the past two decades. Several …

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 …

With recent progress in graphics, it has become more tractable to train models on synthetic
images, potentially avoiding the need for expensive annotations. However, learning from …

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 …

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 are believed to work well for unconstrained gaze estimation, ie
gaze estimation from a monocular RGB camera without assumptions regarding user …

Eye gaze estimation is increasingly demanded by recent intelligent systems to facilitate a
range of interactive applications. Unfortunately, learning the highly complicated regression …