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DTSTART:20190310T070000
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DTSTART:20191103T060000
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DTSTART;TZID=America/Toronto:20200226T133000
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URL:https://uwaterloo.ca/computer-science/events/seminar-waterloo-ai-instit
 ute-noise-flow-noise-conditional-normalizing-flows
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1302 Waterloo ON N2L 3G1 Canada
SUMMARY:Seminar • Waterloo AI Institute — Noise Flow: Noise with\nCon
 ditional Normalizing Flows
CLASS:PUBLIC
DESCRIPTION:MARCUS BRUBAKER\n_Department of Electrical Engineering and Comp
 uter Science\, York\nUniversity_\n_Research Director\, Borealis AI_\n\nMod
 elling and synthesizing image noise is an important aspect in many\ncomput
 er vision applications. The long-standing additive white\nGaussian and het
 eroscedastic (signal-dependent) noise models widely\nused in the literatur
 e provide only a coarse approximation of real\nsensor noise.
DTSTAMP:20260409T115624Z
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