Head pose estimation (HPE) is an active and popular area of research. Over the years,
many approaches have constantly been developed, leading to a progressive improvement …

Deep learning has surged in popularity and proven to be effective for various artificial
intelligence applications including information extraction from cancer pathology reports …

In this paper, a continuous head pose estimation system is proposed to estimate yaw and
pitch head angles from raw facial images. Our approach is based on manifold learning …

Head pose estimation is a challenging computer vision problem with important applications
in different scenarios such as human–computer interaction or face recognition. In this paper …

Head pose estimation (HPE) is an active and popular area of research. Over the years,
many approaches have constantly been developed, leading to a progressive improvement …

Head pose estimation is a challenging computer vision problem with important applications
in different scenarios such as human-computer interaction or face recognition. In this paper …

The success of Deep Learning methods is heavily dependent on the choice of the data
representation. For that reason, much of the actual effort goes into Representation Learning …

Head pose estimation is an active and popular area of research. Over the years many
approaches have constantly been developed, leading to a progressive improvement in …

Manifold Learning occupies a vital role in the field of nonlinear dimensionality reduction and
its ideas also serve for other relevant methods. Graph-based methods such as Graph …

Facial analysis has attracted considerable research efforts over the last decades, with a
growing interest in improving the interaction and cooperation between people and …