Stephanie M. Lukin — accepted AI-conference papers

2025

Aha! - Predicting What Matters Next: Online Highlight Detection Without Looking Ahead

Aiden Chang, Celso M de Melo, Stephanie M. Lukin

NeurIPS 2025poster

Real-time understanding of continuous video streams is essential for intelligent agents operating in high-stakes environments, including autonomous vehicles, surveillance drones, and disaster response robots. Yet, most existing video understanding and highlight detection methods assume access to the…

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2024

SCOUT: A Situated and Multi-Modal Human-Robot Dialogue Corpus

Stephanie M. Lukin, Claire Bonial, Matthew Marge, Taylor A. Hudson, Cory J. Hayes, Kimberly Pollard +11

COLING 2024main

We introduce the Situated Corpus Of Understanding Transactions (SCOUT), a multi-modal collection of human-robot dialogue in the task domain of collaborative exploration. The corpus was constructed from multiple Wizard-of-Oz experiments where human participants gave verbal instructions to a remotely-…

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