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DTSTART:20220313T070000
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DTSTART;TZID=America/Toronto:20220422T110000
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URL:https://uwaterloo.ca/computer-science/events/masters-thesis-presentatio
 n-ai-self-supervised-video-representation-learning-by-exploiting-playing-s
 peediness-changes
LOCATION:200 University Avenue West Online master’s thesis presentation W
 aterloo ON N2L 3G1 Canada
SUMMARY:Master’s Thesis Presentation • Artificial Intelligence •\nSel
 f-supervised Video Representation Learning by Exploiting Playing\nSpeedine
 ss Changes
CLASS:PUBLIC
DESCRIPTION:PLEASE NOTE: THIS MASTER’S THESIS PRESENTATION WILL BE GIVEN 
 ONLINE.\n\nLIZHE CHEN\, MASTER’S CANDIDATE\n_David R. Cheriton School of
  Computer Science_\n\nSUPERVISOR: Professor Olga Veksler\n\nIn recent rese
 arch\, the self-supervised video representation learning\nmethods have ach
 ieved improvement by exploring video’s temporal\nproperties\, such as pl
 aying speeds and temporal order. These works\ninspire us to exploit a new 
 artificial supervision signal for\nself-supervised representation learning
 : the change of video playing\nspeed.
DTSTAMP:20260404T133420Z
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