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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 11–20 of 96 papers

TitleStatusHype
FG 2025 TrustFAA: the First Workshop on Towards Trustworthy Facial Affect Analysis: Advancing Insights of Fairness, Explainability, and Safety (TrustFAA)—0
AU-TTT: Vision Test-Time Training model for Facial Action Unit Detection—0
Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection—0
Facial Action Unit Detection by Adaptively Constraining Self-Attention and Causally Deconfounding SampleCode0
Towards Unified Facial Action Unit Recognition Framework by Large Language Models—0
Towards End-to-End Explainable Facial Action Unit Recognition via Vision-Language Joint Learning—0
AUD-TGN: Advancing Action Unit Detection with Temporal Convolution and GPT-2 in Wild Audiovisual Contexts—0
Leveraging Synthetic Data for Generalizable and Fair Facial Action Unit Detection—0
Contrastive Learning of Person-independent Representations for Facial Action Unit Detection—0
Learning Contrastive Feature Representations for Facial Action Unit DetectionCode0
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