Research
Research Directions
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Physical Human Intelligence — Modeling, understanding, and generating the human body, motion, and its interaction with the physical world, from images and video.
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Understanding People in Long, Real-World Video — Persistently understanding who a person is, what they do, and how they change across long, multi-camera, real-world video.
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Trustworthy Biometrics and Digital Identity — Creating, recognizing, and protecting human identity in a world increasingly populated by synthetic people, avatars, and AI-generated media.
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Generative and Multimodal AI for the Physical World — Geometry-consistent, physically plausible, and controllable generation and multimodal reasoning over 3D, video, and language.
Impact Areas
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AI for Health and Human Performance — Interpretable, video-based digital biomarkers that quantify how a person moves, changes over time, and responds to intervention.
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AI for Education and Scientific Learning — Multimodal AI that reasons about student thinking, instructional practice, and the evidence educators use to make decisions.