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TZOFFSETFROM:-0500
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DTSTART:20210314T070000
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DTSTART:20201101T060000
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UID:69d19036f3514
DTSTART;TZID=America/Toronto:20210406T120000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20210406T120000
URL:https://uwaterloo.ca/computer-science/events/seminar-machine-learning-t
 owards-unsupervised-3d-deep-learning
LOCATION:200 University Avenue West Online seminar Waterloo ON N2L 3G1 Cana
 da
SUMMARY:Seminar • Machine Learning — Towards Unsupervised 3D Deep Learn
 ing
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS SEMINAR WILL BE GIVEN ONLINE.\n\nANDREA TAGLI
 ASACCHI\, RESEARCH SCIENTIST\n_Google Brain_\n\nIt is not uncommon to thi
 nk of computer graphics and computer vision\nas loosely disconnected disci
 plines\; the former dealing with the\nsynthesis of visual phenomena and th
 e latter with analysis. However\,\nrecent advances in deep learning have b
 lurred the boundary between the\ntwo. As a consequence\, the research path
  to develop algorithms that\neffectively interpret the 3D scene “behind
 ” an image has never\nseemed so well within reach.
DTSTAMP:20260404T222702Z
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