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Found 6 papers, 2 papers with code
Leveraging Synthetic Data for Generalizable and Fair Facial Action Unit Detection
Then, we use MSDA to transfer the AU detection knowledge from a real dataset and the synthetic dataset to a target dataset.
Hearing Loss Detection from Facial Expressions in One-on-one Conversations
In this work, we build on this idea and introduce the problem of detecting hearing loss from an individual's facial expressions during a conversation.
Personalized Adaptation with Pre-trained Speech Encoders for Continuous Emotion Recognition
There are individual differences in expressive behaviors driven by cultural norms and personality.
FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features
The proposed FG-Net achieves a strong generalization ability for heatmap-based AU detection thanks to the generalizable and semantic-rich features extracted from the pre-trained generative model.
LibreFace: An Open-Source Toolkit for Deep Facial Expression Analysis
Facial expression analysis is an important tool for human-computer interaction.
Multi-modal Facial Action Unit Detection with Large Pre-trained Models for the 5th Competition on Affective Behavior Analysis in-the-wild
Facial action unit detection has emerged as an important task within facial expression analysis, aimed at detecting specific pre-defined, objective facial expressions, such as lip tightening and cheek raising.
