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

The human face is considered the prime entity in recognizing a person's identity in our
society. Henceforth, the importance of face recognition systems is growing higher for many …

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 …

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 …

Abstract Appearance-based Gaze Estimation leverages deep neural networks to regress the
gaze direction from monocular images and achieve impressive performance. However, its …

Gaze estimation methods estimate gaze from facial appearance with a single camera.
However, due to the limited view of a single camera, the captured facial appearance cannot …

Inter-personal anatomical differences limit the accuracy of person-independent gaze
estimation networks. Yet there is a need to lower gaze errors further to enable applications …

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

Estimating human gaze from natural eye images only is a challenging task. Gaze direction
can be defined by the pupil-and the eyeball center where the latter is unobservable in 2D …

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