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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 1–25 of 108 papers

TitleStatusHype
Multitask Emotion Recognition with Incomplete LabelsCode1
FG-Net: Facial Action Unit Detection with Generalizable Pyramidal FeaturesCode1
JAA-Net: Joint Facial Action Unit Detection and Face Alignment via Adaptive AttentionCode1
AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit DetectionCode0
Multi-View Dynamic Facial Action Unit DetectionCode0
EmotiEffNet Facial Features in Uni-task Emotion Recognition in Video at ABAW-5 competitionCode0
Video-Based Frame-Level Facial Analysis of Affective Behavior on Mobile Devices Using EfficientNetsCode0
Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding SampleCode0
Learning Contrastive Feature Representations for Facial Action Unit DetectionCode0
Self-Supervised Representation Learning From Videos for Facial Action Unit DetectionCode0
Rethinking Affect Analysis: A Protocol for Ensuring Fairness and ConsistencyCode0
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit DetectionCode0
A Compact Embedding for Facial Expression SimilarityCode0
Deep Region and Multi-Label Learning for Facial Action Unit DetectionCode0
Unconstrained Facial Action Unit Detection via Latent Feature DomainCode0
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face AlignmentCode0
An Empirical Study of Dimensional Reduction Techniques for Facial Action Units Detection—0
An Attention-based Method for Action Unit Detection at the 3rd ABAW Competition—0
Analysing Affective Behavior in the second ABAW2 Competition—0
Analysing Affective Behavior in the First ABAW 2020 Competition—0
Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition—0
ABAW: Learning from Synthetic Data & Multi-Task Learning Challenges—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
Choose Settings Carefully: Comparing Action Unit detection at Different Settings Using a Large-Scale Dataset—0
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