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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 76–100 of 108 papers

TitleStatusHype
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
Facial Action Unit Detection via Adaptive Attention and Relation—0
Task-adaptive Q-Face—0
The 6th Affective Behavior Analysis in-the-wild (ABAW) Competition—0
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring—0
Time Series Classification using the Hidden-Unit Logistic Model—0
Transfer Learning for Action Unit Recognition—0
Transformer-based Multimodal Information Fusion for Facial Expression Analysis—0
Uncertain Facial Expression Recognition via Multi-task Assisted Correction—0
Unique Class Group Based Multi-Label Balancing Optimizer for Action Unit Detection—0
Upper, Middle and Lower Region Learning for Facial Action Unit Detection—0
Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection—0
Which CNNs and Training Settings to Choose for Action Unit Detection? A Study Based on a Large-Scale Dataset—0
ABAW : Facial Expression Recognition in the wild—0
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges—0
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Multi-Task Learning Challenges—0
ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges—0
Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition—0
Action Unit Detection with Joint Adaptive Attention and Graph Relation—0
Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing—0
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