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 …

Eye tracking has been widely used for decades in vision research, language and usability.
However, most prior research has focused on large desktop displays using specialized eye …

Although automatic gaze estimation is very important to a large variety of application areas,
it is difficult to train accurate and robust gaze models, in great part due to the difficulty in …

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 …

Recently, many multi-stream gaze estimation methods have been proposed. They estimate
gaze from eye and face appearances and achieve reasonable accuracy. However, most of …

There are large individual differences in physiological processes, making designing
personalized health sensing algorithms challenging. Existing machine learning systems …

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 …

A major challenge for physically unconstrained gaze estimation is acquiring training data
with 3D gaze annotations for in-the-wild and outdoor scenarios. In contrast, videos of human …

Gaze object prediction aims to predict the location and category of the object that is watched
by a human. Previous gaze object prediction works use CNN-based object detectors to …