Existing federated learning paradigms usually extensively exchange distributed models at a
central solver to achieve a more powerful model. However, this would incur severe …

Abstract Facial Action Unit (AU) detection often relies on highly-cost accurate labeling or
inaccurate pseudo labeling techniques in recent years. How to introduce large amounts of …

Micro-expression recognition (MER) is a challenging task due to the subtle changes of facial
muscle movements in a short duration. These muscle movements, which are generalized as …

Automatic facial action unit (AU) recognition has attracted great attention but still remains a
challenging task, as subtle changes of local facial muscles are difficult to thoroughly capture …

Facial action unit (AU) recognition remains a challenging task, due to the subtlety and non-
rigidity of AUs. A typical solution is to localize the correlated regions of each AU. Current …

In this paper, we propose a weakly-supervised algorithm for facial action unit (AU) detection
in the wild, which combines basic facial features and attention-based landmark features as …

This paper addresses the problem of recognition of naturally-appearing human facial
movements (action units), as an intermediate step toward their aggregation for the …

Facial action unit (AU) detection is a hot topic in computer vision, but it remains challenging
due to individual characteristics. Facial action features are a vital informative factor to …

Immersive Virtual Reality (VR) experience from headsets requires high-quality virtual facial
expression animation. Existing approaches for facial expression animation require ground …

Recently how to introduce large amounts of unlabeled facial images in the wild into
supervised Facial Action Unit (AU) detection frameworks has become a challenging …