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Found 3 papers, 2 papers with code
Self-supervised Group Meiosis Contrastive Learning for EEG-Based Emotion Recognition
And the model adopts a group projector to extract group-level feature representations from group EEG samples triggered by the same emotion video stimuli.
Relation-aware Hierarchical Attention Framework for Video Question Answering
Video Question Answering (VideoQA) is a challenging video understanding task since it requires a deep understanding of both question and video.
Frame Aggregation and Multi-Modal Fusion Framework for Video-Based Person Recognition
To tackle the challenges above, we propose a novel Frame Aggregation and Multi-Modal Fusion (FAMF) framework for video-based person recognition, which aggregates face features and incorporates them with multi-modal information to identify persons in videos.
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