Auformer: Vision transformers are parameter-efficient facial action unit detectors
Abstract Facial Action Units (AU) is a vital concept in the realm of affective computing, and
AU detection has always been a hot research topic. Existing methods suffer from overfitting …
AU detection has always been a hot research topic. Existing methods suffer from overfitting …
Uncertain graph neural networks for facial action unit detection
Capturing the dependencies among different facial action units (AU) is extremely important
for the AU detection task. Many studies have employed graph-based deep learning methods …
for the AU detection task. Many studies have employed graph-based deep learning methods …
4D facial analysis: A survey of datasets, algorithms and applications
Facial information plays an important role in human communication, eg, rich and nuanced
facial expressions effectively convey emotions. Traditional data such as 2D facial images …
facial expressions effectively convey emotions. Traditional data such as 2D facial images …
Norface: Improving facial expression analysis by identity normalization
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 …
irrelevant noise, such as identity, head pose, and background. To address this issue, this …
Fg-net: Facial action unit detection with generalizable pyramidal features
Automatic detection of facial Action Units (AUs) allows for objective facial expression
analysis. Due to the high cost of AU labeling and the limited size of existing benchmarks …
analysis. Due to the high cost of AU labeling and the limited size of existing benchmarks …
Contrastive learning of person-independent representations for facial action unit detection
Facial action unit (AU) detection, aiming to classify AU present in the facial image, has long
suffered from insufficient AU annotations. In this paper, we aim to mitigate this data scarcity …
suffered from insufficient AU annotations. In this paper, we aim to mitigate this data scarcity …
Affdex 2.0: A real-time facial expression analysis toolkit
M Bishay, K Preston, M Strafuss, G Page… - 2023 IEEE 17th …, 2023 - ieeexplore.ieee.org
In this paper we introduce AFFDEX 2.0–a toolkit for analyzing facial expressions in the wild,
that is, it is intended for users aiming to; a) estimate the 3D head pose, b) detect facial Action …
that is, it is intended for users aiming to; a) estimate the 3D head pose, b) detect facial Action …
Attention-enabled lightweight neural network architecture for detection of action unit activation
Facial Action Unit (AU) detection is of major importance in a broad range of artificial
intelligence applications such as healthcare, Facial Expression Recognition (FER), and …
intelligence applications such as healthcare, Facial Expression Recognition (FER), and …
Affdex 2.0: a real-time facial expression analysis toolkit
M Bishay, K Preston, M Strafuss, G Page… - arxiv preprint arxiv …, 2022 - arxiv.org
In this paper we introduce AFFDEX 2.0-a toolkit for analyzing facial expressions in the wild,
that is, it is intended for users aiming to; a) estimate the 3D head pose, b) detect facial Action …
that is, it is intended for users aiming to; a) estimate the 3D head pose, b) detect facial Action …
Which cnns and training settings to choose for action unit detection? a study based on a large-scale dataset
In this paper we explore the influence of some frequently used Convolutional Neural
Networks (CNNs), training settings, and training set structures, on Action Unit (AU) detection …
Networks (CNNs), training settings, and training set structures, on Action Unit (AU) detection …