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

Self-supervised learning (SSL) has become prevalent for learning representations in
computer vision. Notably, SSL exploits contrastive learning to encourage visual represen …

Gaze estimation has become a subject of growing interest in recent research. Most of the
current methods rely on single-view facial images as input. Yet, it is hard for these …

Annotating gaze is an expensive and time-consuming endeavor requiring costly eye-
trackers or complex geometric calibration procedures. Although some eye-based …

This paper introduces ASGaze, a new gaze tracking system designed using the common
RGB camera from mobile phones. In addition to improving the accuracy of existing RGB …

Appearance-based gaze estimation has been actively studied in recent years. However, its
generalization performance for unseen head poses is still a significant limitation for existing …

Appearance-based supervised methods with full-face image input have made tremendous
advances in recent gaze estimation tasks. However, intensive human annotation …

This paper introduces ASGaze, a novel gaze tracking system using the RGB camera of
smartphones. ASGaze improves the accuracy of existing methods and uniquely tracks gaze …

The task of predicting 3D eye gaze from eye images can be performed either by (a) end-to-
end learning for image-to-gaze mapping or by (b) fitting a 3D eye model onto images. The …

As human eyes serve as conduits of rich information, unveiling emotions, intentions, and
even aspects of an individual's health and overall well-being, gaze tracking also enables …