Deep reinforcement learning augments the reinforcement learning framework and utilizes
the powerful representation of deep neural networks. Recent works have demonstrated the …

The locations of the fiducial facial landmark points around facial components and facial
contour capture the rigid and non-rigid facial deformations due to head movements and …

Head pose estimation (HPE) has wide industrial applications, such as online education,
human–robot interaction, and automatic manufacturing. In this article, we address two key …

Estimating the head pose of a person is a crucial prob-lem that has a large amount of
applications such as aiding in gaze estimation, modeling attention, fitting 3D models to video …

The emergence of pose estimation algorithms represents a potential paradigm shift in the
study and assessment of human movement. Human pose estimation algorithms leverage …

In the last few years, deep learning has led to very good performance on a variety of
problems, such as visual recognition, speech recognition and natural language processing …

In this work, we consider the problem of robust gaze estimation in natural environments.
Large camera-to-subject distances and high variations in head pose and eye gaze angles …

Head pose estimation is an important way to understand human attention in the human-
computer interaction. In this paper, we propose a novel anisotropic angle distribution …

Face recognition is an efficient technique and one of the most preferred biometric modalities
for the identification and verification of individuals as compared to voice, fingerprint, iris …

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