Automatic age estimation from facial images is an exciting machine learning topic that has
attracted researchers' attention over the past several years. Numerous human–computer …

Talking head video generation aims to animate a human face in a still image with dynamic
poses and expressions using motion information derived from a target-driving video, while …

In this work, we propose an ID-preserving talking head generation framework, which
advances previous methods in two aspects. First, as opposed to interpolating from sparse …

Dynamic facial expression recognition (DFER) in the wild is still hindered by data limitations,
eg, insufficient quantity and diversity of pose, occlusion and illumination, as well as the …

Due to the remarkable progress in recent years, deep face recognition is in great need of
public support for practical model production and further exploration. The demands are in …

This paper presents a novel multi-identity face reenactment framework, named FReeNet, to
transfer facial expressions from an arbitrary source face to a target face with a shared model …

Dense facial landmark detection is one of the key elements of face processing pipeline. It is
used in virtual face reenactment, emotion recognition, driver status tracking, etc. Early …

Accurate facial landmark detection on wild images plays an essential role in human-
computer interaction, entertainment, and medical applications. Existing approaches have …

Recent years have witnessed the emerging market of 3D facial reconstruction that supports
numerous face-driven scenarios including modeling in virtual reality (VR), human-computer …

Driver drowsiness detection is of great significance in improving driving safety and has been
widely studied in recent years. However, some existing methods have not fully utilized the …