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VERSION:2.0
PRODID:Linklings LLC
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TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030248Z
LOCATION:Hall 3F/G Concourse\, Level 3
DTSTART;TZID=Asia/Hong_Kong:20251216T090000
DTEND;TZID=Asia/Hong_Kong:20251216T180000
UID:siggraphasia_SIGGRAPH Asia 2025_sess205_pos_279@linklings.com
SUMMARY:Comparing 3D Data Representations for Keypoint Estimation in Human
 oid Characters
DESCRIPTION:Jeanne-Emma Lefèvre (Kinetix, Université Paris Dauphine-PSL); 
 Théo Cheynel (Kinetix, Centre National de la Recherche Scientifique - Labo
 ratoire d'informatique de l'École Polytechnique (LIX)); and Thomas Daniel 
 (Kinetix)\n\nThis study compares voxel, point cloud, and image-based 3D da
 ta representations for humanoid keypoint estimation using geometric deep l
 earning, with a rigger study revealing diverse practices and subjective ri
 gging standards.\n\nRegistration Category: Enhanced Access, Exhibit & Expe
 rience Access, Experience Hall Exhibitor, Full Access, Full Access Support
 er, Trade Exhibitor\n\n
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