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Styles of Human Motion
Thursday, 4 August
10:30 am - 12:15 pm
Hall A
Session Chair: Jehee Lee, Seoul National University
Geostatistical Motion Interpolation
Tomohiko Mukai
Shigeru Kuriyama
Toyohashi University of Technology
Learning Physics-Based Motion Style With Nonlinear Inverse Optimization
C. Karen Liu
University of Washington
Aaron Hertzmann
University of Toronto
Zoran Popović
University of Washington
Style Translation for Human Motion
Eugene Hsu
Massachusetts Institute of Technology
Computer Science and Artificial Intelligence Laboratory
Kari Pulli
Nokia/Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory
Jovan Popović
Massachusetts Institute of Technology
Computer Science and Artificial Intelligence Laboratory
A Data-Driven Approach to Quantifying Natural Human Motion
Liu Ren
Carnegie Mellon University
Alton Patrick
Georgia Institute of Technology
Alexei Efros
Jessica K. Hodgins
Carnegie Mellon University
James Rehg
Georgia Institute of Technology
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