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 …

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 …

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

Currently, as there is a spike in the number of examinations being conducted online, there is
also an increasing need for proctors, a resource that soon got overwhelmed. Proctors are …

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 …

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 …

Human gaze estimation plays a major role in many applications in human–computer
interaction and computer vision by identifying the users' point-of-interest. Revolutionary …

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 …

In this paper, we present EV-Eye, a first-of-its-kind large scale multimodal eye tracking
dataset aimed at inspiring research on high-frequency eye/gaze tracking. EV-Eye utilizes an …

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