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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 51–96 of 96 papers

TitleStatusHype
Multi-Level Adaptive Region of Interest and Graph Learning for Facial Action Unit Recognition—0
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild—0
Multimodal Channel-Mixing: Channel and Spatial Masked AutoEncoder on Facial Action Unit Detection—0
Multi-modal Multi-label Facial Action Unit Detection with Transformer—0
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
Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition—0
Facial Action Unit Detection via Adaptive Attention and Relation—0
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring—0
The Truth and Nothing but the Truth: Multimodal Analysis for Deception Detection—0
Time Series Classification using the Hidden-Unit Logistic Model—0
Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning—0
Towards Unified Facial Action Unit Recognition Framework by Large Language Models—0
Transfer Learning for Action Unit Recognition—0
Upper, Middle and Lower Region Learning for Facial Action Unit Detection—0
Weakly Supervised Facial Action Unit Recognition Through Adversarial Training—0
Weakly Supervised Regional and Temporal Learning for Facial Action Unit Recognition—0
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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