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DTSTART:19721003T020000
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DTSTART:19721003T020000
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BEGIN:VEVENT
DTSTAMP:20240214T070248Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T170800
DTEND;TZID=Australia/Melbourne:20231214T171600
UID:siggraphasia_SIGGRAPH Asia 2023_sess166_tcom_142@linklings.com
SUMMARY:Learning Multivariate Empirical Mode Decomposition for Spectral Mo
 tion Editing
DESCRIPTION:Technical Communications, Technical Papers\n\nRan Dong (Chukyo
  University), Soichiro Ikuno (Tokyo University of Technology), and Xi Yang
  (Jilin University)\n\nThis research proposes an architecture for neural n
 etworks to learn multivariate empirical mode decomposition. Editing the de
 composed non-linear frequency components achieves novel tasks for characte
 r animation synthesis.\n\nRegistration Category: Full Access\n\nSession Ch
 air: Seungbae Bang (Amazon, University of Toronto)
URL:https://asia.siggraph.org/2023/full-program?id=tcom_142&sess=sess166
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