Event Location: Newell Simon Hall 1507
Bio: C. Lawrence Zitnick is a research manager at Facebook AI Research, and an affiliate associate professor at the University of Washington. He is interested in a broad range of topics related to artificial intelligence including object recognition, the relation of language and imagery, and methods for gathering common sense knowledge. He developed the PhotoDNA technology used by Microsoft, Facebook, Google, and various law enforcement agencies to combat illegal imagery on the web. Before joining FAIR, he was a principal researcher at Microsoft Research. He received the PhD degree in robotics from Carnegie Mellon University.

Abstract: Understanding and reasoning about our visual world is a core capability of artificial intelligence. It is a necessity for effective communication, and for question/answering tasks. In this talk, I discuss some recent explorations into visual reasoning to gain an understanding of how humans and machines tackle the problem. I’ll also describe how algorithms initially developed for visual understanding can be applied to other domains, such as program induction.