Human gaze provides valuable information on human focus and intentions, making it a
crucial area of research. Recently, deep learning has revolutionized appearance-based …

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 …

Virtual and augmented reality (VR/AR) are expected to revolutionise entertainment,
healthcare, communication and the manufacturing industries among many others. Near‐eye …

Appearance-based gaze estimation methods that only require an off-the-shelf camera have
significantly improved but they are still not yet widely used in the human-computer …

Quality, diversity, and size of training data are critical factors for learning-based gaze
estimators. We create two datasets satisfying these criteria for near-eye gaze estimation …

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 …

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 …

As an indicator of human attention gaze is a subtle behavioral cue which can be exploited in
many applications. However, inferring 3D gaze direction is challenging even for deep neural …

Appearance-based gaze estimation is promising for unconstrained real-world settings, but
the significant variability in head pose and user-camera distance poses significant …

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 …