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insight - Facial Expression Analysis
Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting
Proposing a Multi-Scale Spatio-Temporal Graph Convolutional Network (SpoT-GCN) enhances facial expression spotting accuracy, particularly in micro-expressions.
Weak Supervision Framework for Micro- and Macro-expression Spotting
Proposing a point-level weakly-supervised expression spotting framework with multi-refined pseudo label generation and distribution-guided feature contrastive learning to enhance performance.
Leveraging Synthetic Data for Fair Facial Action Unit Detection
Using synthetic data and multi-source domain adaptation improves AU detection performance and fairness.
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