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 …

Recent work has proven the effectiveness of transformers in many computer vision tasks.
However, the performance of transformers in gaze estimation is still unexplored. In this …

Recent advances of deep learning-based approaches have achieved remarkable
performance on appearance-based gaze estimation. However, due to the shortage of target …

Gaze estimation methods learn eye gaze from facial features. However, among rich
information in the facial image, real gaze-relevant features only correspond to subtle …

Eye gaze analysis is an important research problem in the field of Computer Vision and
Human-Computer Interaction. Even with notable progress in the last 10 years, automatic …

Gaze estimator computes the gaze direction based on face images. Most existing gaze
estimation methods perform well under within-dataset settings, but can not generalize to …

In recent years, we have witnessed an increasing number of interactive systems on
handheld mobile devices which utilise gaze as a single or complementary interaction …

Appearance-based gaze estimation aims to predict the 3D eye gaze direction from a single
image. While recent deep learning-based approaches have demonstrated excellent …

Gaze estimation across domains has been explored recently because the training data are
usually collected under controlled conditions while the trained gaze estimators are used in …