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X-WR-CALDESC:Generative Representations of the World 
X-WR-CALNAME:Generative Representations of the World 
X-WR-TIMEZONE:Asia/Tokyo
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DTSTART:19700101T000000
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BEGIN:VEVENT
UID:742845@techplay.jp
SUMMARY:Generative Representations of the World 
DTSTART;TZID=Asia/Tokyo:20190802T110000
DTEND;TZID=Asia/Tokyo:20190802T123000
DTSTAMP:20260423T011359Z
CREATED:20190724T140022Z
DESCRIPTION:イベント詳細はこちら\nhttps://techplay.jp/event/74284
 5?utm_medium=referral&utm_source=ics&utm_campaign=ics\n\nSpeaker: Dr Ilke
  Demir \, DeepScale\n\nTitle: Generative Representations of the World \n\
 nAbstract: Generative approaches enable creating numerous scenarios coher
 ent with the reality\, as long as the representations are good approximat
 ions of the real world. In this talk\, I will discuss extracting such gen
 erative representations from 2D and 3D data for mapping\, modeling\, and 
 reconstruction of urban models and spatial data\; combining computer visi
 on\, machine learning\, and computational geometry approaches. I will int
 roduce geometry processing algorithms to exploit similarities\, grammar d
 iscovery approaches to extract procedural rules\, and machine learning me
 thods to understand geospatial information. The talk will conclude by pro
 posed applications\, new directions in 3D deep learning for generative mo
 dels\, and experimental results on various types of geometric data.\n\nBi
 o: Ilke Demir earned her PhD Degree in Computer Science from Purdue Unive
 rsity in 2016\, focusing on 3D vision approaches for generative models\, 
 urban reconstruction and modeling\, and computational geometry for synthe
 sis and fabrication. Afterwards\, Dr. Demir joined Facebook as a Postdoct
 oral Research Scientist working with Ramesh Raskar from MIT. Her research
  included human behavior analysis via deep learning in virtual reality\, 
 geospatial machine learning\, and 3D reconstruction at scale. In addition
  to her publications in top-tier venues (SIGGRAPH\, ICCV\, CVPR)\, she ha
 s organized workshops\, competitions\, and courses in the intersection of
  deep learning and computer vision. She has received several awards and h
 onors such as Jack Dangermond Award\, Bilsland Dissertation Fellowship\, 
 and Industry Distinguished Lecturer\, in addition to her best paper/poste
 r/reviewer awards. Currently she builds efficient deep learning architect
 ures for autonomous driving tasks as a Senior Research Scientist at DeepS
 cale.
LOCATION:RIKEN Center for Advanced Intelligence Project (AIP)\, Tokyo Nihon
 bashi 1-chome Mitsui Building\, 15th floor\, 1-4-1 Nihonbashi\, Chuo-ku\,
  Tokyo
URL:https://techplay.jp/event/742845?utm_medium=referral&utm_source=ics&utm
 _campaign=ics
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