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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 51–60 of 96 papers

TitleStatusHype
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
Multi-Order Networks for Action Unit Detection—0
Occlusion Aware Student Emotion Recognition based on Facial Action Unit Detection—0
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition—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
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