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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
Modeling Spatial and Temporal Cues for Multi-label Facial Action Unit Detection—0
Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework—0
AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts—0
AU-TTT: Vision Test-Time Training model for Facial Action Unit Detection—0
Biomechanics-Guided Facial Action Unit Detection Through Force Modeling—0
Boosting Facial Action Unit Detection Through Jointly Learning Facial Landmark Detection and Domain Separation and Reconstruction—0
Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition—0
Classifier Learning With Prior Probabilities for Facial Action Unit Recognition—0
Computational efficient deep neural network with difference attention maps for facial action unit detection—0
Confidence Preserving Machine for Facial Action Unit Detection—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
Deep Facial Action Unit Recognition From Partially Labeled Data—0
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization—0
Deep Structure Inference Network for Facial Action Unit Recognition—0
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond—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
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