MSA@LMC

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1. S2D S2D Public

   [TAFFC 2024] The official implementation of paper: From Static to Dynamic: Adapting Landmark-Aware Image Models for Facial Expression Recognition in Videos

   Python 125 4

2. S4D S4D Public

   [TAFFC 2025] The offical implementation of paper: Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data

   Python 71

3. PhysioSync PhysioSync Public

   [TCSS 2025] The official implementation code for "PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition"

   Python 47 5

4. MAE-SFER MAE-SFER Public

   [TCSS 2024] MAE pre-training models (ViT and ConvNeXt) using AffectNet images for static facial expression recognition (SFER).

   Python 43 1

5. VAEmo VAEmo Public

   [MM 2025] The official implementation code for "VAEmo: Efficient Representation Learning for Visual-Audio Emotion with Knowledge Injection“

   38

6. DAT DAT Public

   [MM 2024] The official implementation code for "DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation"

   Python 37