Head pose estimation suffers from several problems, including low pose tolerance under
different disturbances and ambiguity arising from common head pose representation. In this …

Heatmap regression methods have dominated face alignment area in recent years while
they ignore the inherent relation between different landmarks. In this paper, we propose a …

Recently, deep learning-based facial landmark detection has achieved significant
improvement. However, the semantic ambiguity problem degrades detection performance …

As one of the most important affective signals, facial affect analysis (FAA) is essential for
developing human-computer interaction systems. Early methods focus on extracting …

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

Modern camera localization methods that use image retrieval, feature matching, and 3D
structure-based pose estimation require long-term storage of numerous scene images or a …

Facial Expression Recognition (FER) is a long-standing but challenging research problem in
computer vision. Existing approaches mainly focus on single-label emotional prediction …

Many recent developments in facial landmark detection have been driven by stacking model
parameters or augmenting annotations. However, three subsequent challenges remain …

Left ventricular ejection fraction (LVEF) is essential for evaluating left ventricular systolic
function. However, its clinical calculation requires the physician to interactively segment the …

Face image animation from a single image has achieved remarkable progress. However, it
remains challenging when only sparse landmarks are available as the driving signal. Given …