Meera Hahn
I am a research scientist in Google Research, working predominantly at the intersection of computer vision and natural language processing. I joined Google in 2022 after completing my PhD at Georgia Tech. My research interests include embodied AI, text based navigation and localization, text to image and video generation, and general multimodal AI tasks. Check out my homepage for more about me and my research.
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Transformer-based Localization from Embodied Dialog with Large-scale Pre-training
James M. Rehg
The Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Association for Computational Linguistics (2022)
Preview abstract
We address the challenging task of Localization via Embodied Dialog (LED). Given a dialog from two agents, an Observer navigating through an unknown environment and a Locator who is attempting to identify the Observer's location, the goal is to predict the Observer's final location in a map. we develop a novel LED-Bert architecture and present an effective pretraining strategy. We show that a graph-based scene representation is more effective than the top-down 2D maps used in prior work. Our approach outperforms previous baselines.
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