Papers by Gyeongbo Sim

1 papers
EgoSpeak: Learning When to Speak for Egocentric Conversational Agents in the Wild (2025.findings-naacl)

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Challenge: EgoSpeak predicts when an agent should begin speaking based on egocentric streaming video.
Approach: They propose a framework for real-time speech initiation prediction in egocentric streaming video by modeling the conversation from the camera wearer's first-person perspective.
Outcome: The proposed framework outperforms random and silence-based baselines in real time and highlights the importance of multimodal input and context length in effectively deciding when to speak.

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