Deep generated images: data efficiency and detectability

Friday, January 21, 2022, 11:00 am - 12:00 pm PDTiCal
Virtually via Zoom WebinarThis event is open to the public.
AI Seminar
Ngai-Man Cheung, Singapore University of Technology and Design

AI Seminar Series

Seminars for the Artificial Intelligence Division at USC Information Sciences Institute

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Bio: I received my Ph.D. degree in Electrical Engineering from University of Southern California (USC), Los Angeles, CA, in 2008. My Ph.D. research focused on image and video coding, and the work was supported in part by NASA-JPL.

From 2009-2011, I was a postdoctoral researcher with the Image, Video and Multimedia Systems group at Stanford University, Stanford, CA.

I have also held research positions with Texas Instruments Research Center Japan, Nokia Research Center, IBM T. J. Watson Research Center, HP Labs Japan, Hong Kong University of Science and Technology (HKUST), and Mitsubishi Electric Research Labs (MERL). My industrial work has resulted in 6 U.S. patents granted with several pending.

My research interest is to develop advanced algorithms to enable efficient processing of multimedia data. I am also interested in exploring collaborative and interdisciplinary research that involves applying signal processing or multicore technology to address problems in other areas

Abstract: coming soon.

Host: Mohammad Rostami, POC: Maura Covaci

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