Researcher · Computer vision & machine learning · SF
Patsorn is a researcher in computer vision and machine learning with a decade of experience across academia and industry. She is currently obsessed with building a more semantically structured world model at Eigen 4D.
Over the previous decade, Patsorn's research helped make generative vision controllable and grounded — from some of the earliest deep networks for user-guided image synthesis, to datasets and benchmarks now standard across the field, to models of how people attend to and judge generated content. Carried out with Adobe Research, Argo AI, Georgia Tech, and NYU, this work has yielded a U.S. patent, oral and spotlight presentations at top venues, and coverage from TechCrunch to New Scientist.