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Action Unit Detection

Action unit detection is the task of detecting action units from a video - for example, types of facial action units (lip tightening, cheek raising) from a video of a face.

( Image credit: AU R-CNN )

Papers

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Showing 51–100 of 108 papers

TitleStatusHype
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning—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 movement synergies and Action Unit detection from distal wearable Electromyography and Computer Vision—0
FAN-Trans: Online Knowledge Distillation for Facial Action Unit Detection—0
Fast and Effective Adaptation of Facial Action Unit Detection Deep Model—0
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
Fighting noise and imbalance in Action Unit detection problems—0
Fighting over-fitting with quantization for learning deep neural networks on noisy labels—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
Impact of Action Unit Occurrence Patterns on Detection—0
Joint Patch and Multi-Label Learning for Facial Action Unit Detection—0
Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition—0
Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection—0
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection—0
Learning with Privileged Information for Multi-Label Classification—0
Leveraging Synthetic Data for Generalizable and Fair Facial Action Unit Detection—0
Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection—0
Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection—0
HiCOMEX: Facial Action Unit Recognition Based on Hierarchy Intensity Distribution and COMEX Relation Learning—0
Meta Auxiliary Learning for Facial Action Unit Detection—0
Micro-expression Action Unit Detection with Spatio-temporal Adaptive Pooling—0
Modeling Spatial and Temporal Cues for Multi-label Facial Action Unit Detection—0
Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection—0
Multi-Label Class Balancing Algorithm for Action Unit Detection—0
Multi-label Learning with Missing Values using Combined Facial Action Unit Datasets—0
Multi-label Transformer for Action Unit Detection—0
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild—0
Multi-Modal Learning for AU Detection Based on Multi-Head Fused Transformers—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
Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis—0
Multi-Order Networks for Action Unit Detection—0
Affective Behavior Analysis using Action Unit Relation Graph and Multi-task Cross Attention—0
Multi-Task Learning for Affect Analysis—0
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation—0
Occlusion Aware Student Emotion Recognition based on Facial Action Unit Detection—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
Deep Region and Multi-Label Learning for Facial Action Unit DetectionCode0
Learning Contrastive Feature Representations for Facial Action Unit DetectionCode0
Unconstrained Facial Action Unit Detection via Latent Feature DomainCode0
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit DetectionCode0
Rethinking Affect Analysis: A Protocol for Ensuring Fairness and ConsistencyCode0
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