Abstract Facial Action Coding System is the most influential sign judgment method for facial
behavior, and it is a comprehensive and anatomical system which could encode various …

Existing AU detection algorithms are mainly based on appearance information extracted
from 2D images, and well-established facial biomechanics that governs 3D facial skin …

Handwritten digits recognition has been treated as a multi-class classification problem in the
machine learning context, where each of the ten digits (0–9) is viewed as a class and the …

In this paper, we aim to learn discriminative representation for facial action unit (AU)
detection from large amount of videos without manual annotations. Inspired by the fact that …

Facial expression recognition (FER) is crucial for social communication. However, current
studies present limitations when addressing facial expression difference due to …

Message passing neural network has been an effective method to represent dependencies
among nodes by propagating messages. However, most of message passing algorithms …

The intensity estimation of facial action units (AUs) is challenging due to subtle changes in
the person's facial appearance. Previous approaches mainly rely on probabilistic models or …

Abstract Facial Expression Analysis remains a challenging task due to unexpected task-
irrelevant noise, such as identity, head pose, and background. To address this issue, this …

What is the best way to learn a universal face representation? Recent work on Deep
Learning in the area of face analysis has focused on supervised learning for specific tasks of …

Facial expressions have inherent temporal dependencies that can be leveraged in
automatic facial expression analysis from videos. In this paper, we propose a self …