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Facial Action Unit Detection

Facial action unit detection is the task of detecting action units from a video of a face - for example, lip tightening and cheek raising.

( Image credit: Self-supervised Representation Learning from Videos for Facial Action Unit Detection )

Papers

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Showing 76–96 of 96 papers

TitleStatusHype
Multi-Order Networks for Action Unit Detection—0
Occlusion Aware Student Emotion Recognition based on Facial Action Unit Detection—0
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition—0
PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net With Discrete Feedback Learning—0
ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning—0
Relation Modeling with Graph Convolutional Networks for Facial Action Unit Detection—0
Relative Facial Action Unit Detection—0
Selective Transfer Machine for Personalized Facial Action Unit Detection—0
Self-supervised Facial Action Unit Detection with Region and Relation Learning—0
Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition—0
Learning Contrastive Feature Representations for Facial Action Unit DetectionCode0
Multi-label Co-regularization for Semi-supervised Facial Action Unit RecognitionCode0
Deep Region and Multi-Label Learning for Facial Action Unit DetectionCode0
Automated Detection of Equine Facial Action UnitsCode0
Linear Disentangled Representation Learning for Facial ActionsCode0
Unconstrained Facial Action Unit Detection via Latent Feature DomainCode0
Self-Supervised Representation Learning From Videos for Facial Action Unit DetectionCode0
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face AlignmentCode0
Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding SampleCode0
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit DetectionCode0
Multi-View Dynamic Facial Action Unit DetectionCode0
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