Aurora Core is a real-time emotion recognition system that leverages both facial expressions (visual data) and vocal cues (audio data) to accurately detect human emotions. By integrating these two ...

Abstract: Accurately localizing audible objects based on audio-visual cues is the core objective of audio-visual segmentation. Most previous methods emphasize spatial or temporal multi-modal modeling, ...

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This graphic essay is part of an ongoing collaborative effort that combines ethnographic research on the relationships between falconers, birds of prey and their environments with research on drawing ...

Abstract: Recently, video recognition is emerging with the help of multi-modal learning, which focuses on integrating distinct modalities to improve the performance or robustness of the model.