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 …

From scientific research to commercial applications, eye tracking is an important tool across
many domains. Despite its range of applications, eye tracking has yet to become a pervasive …

Eye gaze is an important non-verbal cue for human affect analysis. Recent gaze estimation
work indicated that information from the full face region can benefit performance. Pushing …

Appearance-based gaze estimation is believed to work well in real-world settings, but
existing datasets have been collected under controlled laboratory conditions and methods …

Learning-based methods are believed to work well for unconstrained gaze estimation, ie
gaze estimation from a monocular RGB camera without assumptions regarding user …

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

Conventional feature-based and model-based gaze estimation methods have proven to
perform well in settings with controlled illumination and specialized cameras. In …

Eye gaze estimation has been increasingly demanded by recent intelligent systems to
accomplish a range of interaction-related tasks, by using simple eye images as input …

Head pose estimation has attracted immense research interest recently, as its inherent
information significantly improves the performance of face-related applications such as face …