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@MSA-LMC

MSA@LMC

Multimodal Sentiment Analysis (MSA) or Multimodal Emotion Recognition (MER) Research @ LMC.HFUT

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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 85 3

  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 17

  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 11 2

  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 10 1

  5. DAT DAT Public

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

    Python 9

  6. VAEmo VAEmo Public

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

    9

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