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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 76–96 of 96 papers

TitleStatusHype
Deep Structure Inference Network for Facial Action Unit Recognition—0
Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition—0
Deep Facial Action Unit Recognition From Partially Labeled Data—0
Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection—0
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition—0
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition—0
Improving Speech Related Facial Action Unit Recognition by Audiovisual Information Fusion—0
Multi-View Dynamic Facial Action Unit DetectionCode0
Learning with Privileged Information for Multi-Label Classification—0
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge—0
EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection—0
Linear Disentangled Representation Learning for Facial ActionsCode0
Modeling Spatial and Temporal Cues for Multi-label Facial Action Unit Detection—0
Deep Region and Multi-Label Learning for Facial Action Unit DetectionCode0
Confidence Preserving Machine for Facial Action Unit Detection—0
Multi-Conditional Latent Variable Model for Joint Facial Action Unit Detection—0
Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection—0
Time Series Classification using the Hidden-Unit Logistic Model—0
Joint Patch and Multi-Label Learning for Facial Action Unit Detection—0
Relative Facial Action Unit Detection—0
Selective Transfer Machine for Personalized Facial Action Unit Detection—0
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