Learning to Visually Reason - Robotics Institute Carnegie Mellon University
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VASC Seminar

November

21
Tue
Larry Zitnick Research Lead Facebook AI Research
Tuesday, November 21
3:00 pm to 4:00 pm
GHC 6115
Learning to Visually Reason

Abstract: Visual reasoning is a core capability of artificial intelligence. It is a necessity for effective communication, planning, and for question/answering tasks. In this talk, I discuss some recent explorations into visual reasoning for question/answering, game playing and dialog. I also describe our new reinforcement learning platform ELF; an Extensive, Lightweight and Flexible research platform for real-time strategy games.

Bio: C. Lawrence Zitnick is a research lead 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.

Homepage: http://larryzitnick.org/