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 …

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

Human gaze is a crucial cue used in various applications such as human-robot interaction
and virtual reality. Recently, convolution neural network (CNN) approaches have made …

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 …

Appearance-based gaze estimation problem received wide attention over the past few
years. Even though model-based approaches existed earlier, availability of large datasets …

Estimating eye-gaze from images alone is a challenging task, in large parts due to un-
observable person-specific factors. Achieving high accuracy typically requires labeled data …

Deep neural networks have significantly improved appearance-based gaze estimation
accuracy. However, it still suffers from unsatisfactory performance when generalizing the …