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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 11–20 of 96 papers

TitleStatusHype
Leveraging Synthetic Data for Generalizable and Fair Facial Action Unit Detection—0
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective ComputingCode1
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit DetectorsCode2
Contrastive Learning of Person-independent Representations for Facial Action Unit Detection—0
Learning Contrastive Feature Representations for Facial Action Unit DetectionCode0
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond—0
Boosting Facial Action Unit Detection Through Jointly Learning Facial Landmark Detection and Domain Separation and Reconstruction—0
FG-Net: Facial Action Unit Detection with Generalizable Pyramidal FeaturesCode1
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit DetectionCode0
Occlusion Aware Student Emotion Recognition based on Facial Action Unit Detection—0
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