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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 1–50 of 96 papers

TitleStatusHype
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit DetectorsCode2
Representation Learning and Identity Adversarial Training for Facial Behavior UnderstandingCode2
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit RecognitionCode2
Pre-training strategies and datasets for facial representation learningCode1
Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units RecognitionCode1
JAA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive AttentionCode1
FG-Net: Facial Action Unit Detection with Generalizable Pyramidal FeaturesCode1
Norface: Improving Facial Expression Analysis by Identity NormalizationCode1
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective ComputingCode1
Multitask Emotion Recognition with Incomplete LabelsCode1
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
Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition—0
Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation—0
Facial Action Unit Detection on ICU Data for Pain Assessment—0
Facial Action Unit Detection using 3D Facial Landmarks—0
Facial Action Unit Detection Using Attention and Relation Learning—0
Facial Action Unit Detection With Transformers—0
Facial Action Unit Recognition Based on Transfer Learning—0
Facial Action Unit Recognition With Multi-models Ensembling—0
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection—0
Fast and Effective Adaptation of Facial Action Unit Detection Deep Model—0
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge—0
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
Fighting over-fitting with quantization for learning deep neural networks on noisy labels—0
GeoConv: Geodesic Guided Convolution for Facial Action Unit Recognition—0
Global-to-local Expression-aware Embeddings for Facial Action Unit Detection—0
Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection—0
Improving Speech Related Facial Action Unit Recognition by Audiovisual Information Fusion—0
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition—0
Joint Patch and Multi-Label Learning for Facial Action Unit Detection—0
Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition—0
Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection—0
Expression Empowered ResiDen Network for 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
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