Facial Affective Behavior Analysis with Instruction Tuning: Leveraging Multi-Modal Large Language Models for Fine-Grained Emotion and Action Unit Recognition
Facial affective behavior analysis can be enhanced by leveraging multi-modal large language models (MLLMs) through instruction tuning, enabling fine-grained emotion and action unit recognition.
Facial Action Unit Detection with Contrastive Learning for Person-independent Representations
Facial AU detection benefits from contrastive learning for person-independent representations.
FaceXFormer: A Unified Transformer for Facial Analysis
Introducing FaceXFormer, a unified transformer model for comprehensive facial analysis tasks.
DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition
DrFER introduces disentangled representation learning to enhance 3D facial expression recognition by effectively separating expression and identity information.
DrFER: Disentangled Representations for 3D Facial Expression Recognition
The author introduces DrFER, a method for disentangling expression features from identity information in 3D facial expression recognition. By employing a dual-branch framework and innovative loss functions, DrFER achieves superior performance in recognizing facial expressions.
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