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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 1–25 of 96 papers

TitleStatusHype
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit RecognitionCode2
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit DetectorsCode2
Representation Learning and Identity Adversarial Training for Facial Behavior UnderstandingCode2
Multitask Emotion Recognition with Incomplete LabelsCode1
Norface: Improving Facial Expression Analysis by Identity NormalizationCode1
FG-Net: Facial Action Unit Detection with Generalizable Pyramidal FeaturesCode1
Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units RecognitionCode1
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective ComputingCode1
JAA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive AttentionCode1
Pre-training strategies and datasets for facial representation learningCode1
Biomechanics-Guided Facial Action Unit Detection Through Force Modeling—0
Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection—0
Contrastive Learning of Person-independent Representations for Facial Action Unit Detection—0
Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection—0
Confidence Preserving Machine for Facial Action Unit Detection—0
AU-TTT: Vision Test-Time Training model for Facial Action Unit Detection—0
AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts—0
Computational efficient deep neural network with difference attention maps for facial action unit detection—0
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond—0
Deep Structure Inference Network for Facial Action Unit Recognition—0
EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection—0
Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection—0
Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition—0
Expression Empowered ResiDen Network for Facial Action Unit Detection—0
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition—0
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