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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 51–75 of 96 papers

TitleStatusHype
Confidence Preserving Machine for Facial Action Unit Detection—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
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
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-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
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