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CATEGORIES:Seminar/Colloquia
DESCRIPTION:Title: Deep Optics: Learning Cameras and Optical Computing Syst
 ems\n\nAbstract:Neural networks and other advanced image processing algorit
 hms excel in a wide variety of computer vision and imaging applications\, b
 ut their high performance also comes at a high computational cost and their
  success is sometimes limited. In this talk\, we explore hybrid optical-dig
 ital strategies to computational imaging that outsource parts of the algori
 thm into the optical domain. Using such a co-design of optics and image pro
 cessing\, we can learn application-domain-specific cameras using modern art
 ificial intelligence techniques or compute parts of a convolutional neural 
 network in optics. Optical computing happens at the speed of light and with
 out any memory or power requirements\, thereby opening new directions for i
 ntelligent imaging systems.\n\nShort Biography: Gordon Wetzstein is an Asso
 ciate Professor of Electrical Engineering and\, by courtesy\, of Computer S
 cience at Stanford University. He is the leader of the Stanford Computation
 al Imaging Lab and a faculty co-director of the Stanford Center for Image S
 ystems Engineering. At the intersection of computer graphics and vision\, c
 omputational optics\, and applied vision science\, Prof. Wetzstein's resear
 ch has a wide range of applications in next-generation imaging\, display\, 
 wearable computing\, and microscopy systems. Prior to joining Stanford in 2
 014\, Prof. Wetzstein was a Research Scientist at MIT\, he received a Ph.D.
  in Computer Science from the University of British Columbia in 2011 and gr
 aduated with Honors from the Bauhaus in Weimar\, Germany before that. He is
  the recipient of an NSF CAREER Award\, an Alfred P. Sloan Fellowship\, an 
 ACM SIGGRAPH Significant New Researcher Award\, a Presidential Early Career
  Award for Scientists and Engineers (PECASE)\, an SPIE Early Career Achieve
 ment Award\, a Terman Fellowship\, an Okawa Research Grant\, the Electronic
  Imaging Scientist of the Year 2017 Award\, an Alain Fournier Ph.D. Dissert
 ation Award\, and a Laval Virtual Award as well as Best Paper and Demo Awar
 ds at ICCP 2011\, 2014\, and 2016 and at ICIP 2016.
DTEND:20211022T160000Z
DTSTAMP:20260414T085053Z
DTSTART:20211022T150000Z
LOCATION:
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SUMMARY:ESE Seminar: Gordon Wetzstein\, PhD
UID:tag:localist.com\,2008:EventInstance_37935958818323
URL:https://happenings.washu.edu/event/ese_seminar_gordon_wetzstein_phd
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