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BEGIN:VEVENT
DTSTAMP:20260805T205559Z
LOCATION:Room 403 A
DTSTART;TZID=America/Los_Angeles:20260723T144000
DTEND;TZID=America/Los_Angeles:20260723T145000
UID:siggraph_SIGGRAPH 2026_sess105_papers_354@linklings.com
SUMMARY:MOCHI: Motion Enhancement of Collaborative Human-object Interactio
 ns
DESCRIPTION:Jiye Lee, Yonghun Choi, and Jungdam Won (Seoul National Univer
 sity)\n\nOur method enhances noisy multi-human object interaction (MHOI) d
 ata by automatically generating plausible hand and finger motions and refi
 ning noisy body movements, all while preserving the original interaction s
 emantics.\n\nInterest Area: Research & Education\n\nKeyword: Animation, Ar
 tificial Intelligence/Machine Learning, Modeling, Simulation\n\nRegistrati
 on Category: Full Conference Supporter, Full Conference\n\nSession Chair: 
 Min Lu (Shenzhen University (SZU))\n\n
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