Welcome to the RAIVN Lab

The Reasoning, AI and VisioN (RAIVN) Lab at Paul G. Allen School of Computer Science and Engineering, University of Washington is directed by Prof. Ali Farhadi and Prof. Ranjay Krishna. Our research is at the intersection of Computer Vision, Machine Learning, Natural Language Processing and Robotics and is targetted towards helping computers improve their perception and reasoning. RAIVN Lab's famous research break-throughs include YOLO, XNor-Net, VCR, BiDAF among many other amazing projects.

If you are an undergrad or masters student at University of Washington and want to work with us, please fill out this form.

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CSE2 230,
Bill & Melinda Gates Center For Computer Science & Engineering,
Paul G. Allen School of Computer Science & Engineering,
University of Washington, Seattle, WA 98195.

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