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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 31–40 of 96 papers

TitleStatusHype
Expression Empowered ResiDen Network for Facial Action Unit Detection—0
Exploring Adversarial Learning for Deep Semi-Supervised Facial Action Unit Recognition—0
Confidence Preserving Machine for Facial Action Unit Detection—0
AU-TTT: Vision Test-Time Training model for Facial Action Unit Detection—0
AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts—0
Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection—0
EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection—0
Computational efficient deep neural network with difference attention maps for facial action unit detection—0
Distribution Matching for Multi-Task Learning of Classification Tasks: a Large-Scale Study on Faces & Beyond—0
Fighting over-fitting with quantization for learning deep neural networks on noisy labels—0
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