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Auformer: Vision transformers are parameter-efficient facial action unit detectors
Abstract Facial Action Units (AU) is a vital concept in the realm of affective computing, and
AU detection has always been a hot research topic. Existing methods suffer from overfitting …
AU detection has always been a hot research topic. Existing methods suffer from overfitting …
Multi-scale promoted self-adjusting correlation learning for facial action unit detection
Facial Action Unit (AU) detection is a crucial task in affective computing and social robotics
as it helps to identify emotions expressed through facial expressions. Anatomically, there are …
as it helps to identify emotions expressed through facial expressions. Anatomically, there are …
Visual Cardiac Signal Classifiers: A Deep Learning Classification Approach for Heart Signal Estimation From Video
Heart rate is a crucial metric in health monitoring. Traditional computer vision solutions
estimate cardiac signals by detecting physical manifestations of heartbeats, such as facial …
estimate cardiac signals by detecting physical manifestations of heartbeats, such as facial …
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter
Deep neural networks (DNNs) have been applied in many computer vision tasks and
achieved state-of-the-art (SOTA) performance. However, misclassification will occur when …
achieved state-of-the-art (SOTA) performance. However, misclassification will occur when …
Exploring multimodality micro-gesture detection for emotion understanding
A Barema - 2024 - lutpub.lut.fi
This study explores multimodality micro-gesture detection and emotion understanding on
the identity-free video dataset for Micro-gesture Understanding and Emotion analysis …
the identity-free video dataset for Micro-gesture Understanding and Emotion analysis …