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 …

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

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 …

Most non-invasive gaze estimation methods regress gaze directions directly from a single
face or eye image. However, due to important variabilities in eye shapes and inner eye …

Rapport has been recognized as an important aspect of relationship building. While rapport
in the context of human-human interaction has been widely studied, how it can be …

Head pose estimation is a fundamental task for face and social related research. Although
3D morphable model (3DMM) based methods relying on depth information usually achieve …

Gaze estimation is a difficult task, even for humans. However, as humans, we are good at
understanding a situation and exploiting it to guess the expected visual focus of attention of …

We propose a head pose estimation framework that leverages on a recent keypoint
detection model. More specifically, we apply the convolutional pose machines (CPMs) to …

Despite significant advances in improving the gaze tracking accuracy under controlled
conditions, the tracking robustness under real-world conditions, such as large head pose …

In this paper, we propose the implementation of a safety device that generates an alarm
sound or braking operation to reduce the risk of accidents. It reduces the exposure of risks …