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Found 6 papers, 4 papers with code
Joint Multimodal Transformer for Emotion Recognition in the Wild
Multimodal emotion recognition (MMER) systems typically outperform unimodal systems by leveraging the inter- and intra-modal relationships between, e. g., visual, textual, physiological, and auditory modalities.
Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues
In particular, using this aus codebook, input image expression label, and facial landmarks, a single action units heatmap is built to indicate the most discriminative regions of interest in the image w. r. t the facial expression.
Facial Expression Recognition
Facial Expression Recognition (FER)
Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport
State-of-the-art knowledge distillation (KD) methods have been proposed to distill multiple teacher models (each trained on a modality) to a common student model.
Subject-Based Domain Adaptation for Facial Expression Recognition
However, previous methods for MSDA adapt image classification models across datasets and do not scale well to a larger number of source domains.
Facial Expression Recognition
Facial Expression Recognition (FER)
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A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition
Specifically, we propose a joint cross-attention model that relies on the complementary relationships to extract the salient features across A-V modalities, allowing for accurate prediction of continuous values of valence and arousal.
Temporal Stochastic Softmax for 3D CNNs: An Application in Facial Expression Recognition
The proposed softmax strategy provides several advantages: a reduced computational complexity due to efficient clip sampling, and an improved accuracy since temporal weighting focuses on more relevant clips during both training and inference.
Facial Expression Recognition
Facial Expression Recognition (FER)
