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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 21–30 of 96 papers

TitleStatusHype
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond—0
Boosting Facial Action Unit Detection Through Jointly Learning Facial Landmark Detection and Domain Separation and Reconstruction—0
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit DetectionCode0
Occlusion Aware Student Emotion Recognition based on Facial Action Unit Detection—0
Fighting over-fitting with quantization for learning deep neural networks on noisy labels—0
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild—0
Local Region Perception and Relationship Learning Combined with Feature Fusion for Facial Action Unit Detection—0
Self-supervised Facial Action Unit Detection with Region and Relation Learning—0
Biomechanics-Guided Facial Action Unit Detection Through Force Modeling—0
ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning—0
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