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 and email the most relevant person you want to work with.

Recent News

• April 2023: DataComp is public. Check it out and make your submissions!
• March 2023: Kuo-Hao can officially use the Dr. prefix! Congrats!!!
• November 2022: Two Outstanding Paper Awards at NeurIPS 2022 for ProcThor and LAION-5B!!!
• September 2022: Welcome Prof. Ranjay Krishna to the lab!!!
• September 2022: 3 papers accepted to NeurIPS 2022.
• July 2022: 2 papers accepted to ECCV 2022 and 1 paper at NAACL 2022.
• June 2022: Robust fine-tuning of zero-shot models wins Best Paper Honorable Mention at CVPR 2022.
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