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SUMMARY:Invariant Optical Representations for People\, Places and Things
DTSTART:20211129T141500
DTEND:20211129T151500
DTSTAMP:20260510T053611Z
UID:3f1c043188db8a9bc1f463d99263084ab1eec5dfe6a35a0990554092
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Achuta Kadambi\, Assistant Professor of EECS at UCLA\nAbst
 ract: Real world scenes consist of people\, places\, and things that exhi
 bit diverse visual appearance. Such diversity stems from the fundamental p
 hysics in how light interacts with matter. Appearance variations can mesme
 rize human beings\, but puzzle artificial vision systems\, which cannot ge
 neralize to such variation. To overcome this problem\, my lab invents new 
 computational cameras designed to be invariant to aspects of the physics o
 f appearance. The first segment of the talk will discuss a computational i
 maging pipeline for imaging through adverse weather through the use of phy
 sics-based inductive biases. The second segment discusses optical invarian
 ce in health sensing representations. The remote plethysmograph will be di
 scussed as a bleeding edge medical device that is just now obtaining clini
 cally accurate heart rate\; but due to its physical mechanism\, does so on
 ly for lighter skin tones. We will discuss various bias mitigation techniq
 ues\, ranging from camera design\, to simulators\, and finally new signal 
 processing algorithms. \n\nBio: Achuta Kadambi received the PhD degree fr
 om MIT and joined UCLA where he is an Assistant Professor in Electrical En
 gineering and Computer Science. He has co-authored the textbook Computati
 onal Imaging (published by MIT Press and available as a free PDF at imagin
 gtext.github.io). He has also received early career recognitions from NSF 
 (CAREER)\, DARPA (Young Faculty Award)\, Army (Young Investigator Program)
 \, Forbes (30 under 30)\, and is also co-founder of Akasha Imaging (http:/
 /akasha.im).
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CANCELLED
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