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 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 …

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

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 …

Human gaze is essential for various appealing applications. Aiming at more accurate gaze
estimation, a series of recent works propose to utilize face and eye images simultaneously …

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

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