UW RAIVN Lab (original) (raw)

UW RAIVN Lab

The Reasoning, AI, and VisioN (RAIVN) Lab in the Allen School at the 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, Visual Genome, AI2-THOR, VCR, BiDAF, Objaverse, DataComp, OpenCLIP, Merlot, Model Soups & Matryoshka Representations/Models among many other amazing projects.