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papers

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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