Technical Papers
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Title
Learning Motion Manifolds with Convolutional Autoencoders
Date
Monday, 02 November
Time
16:15 - 18:00
Location
Kobe Int’l Conference Center, Room 501, Level 5
Learning Motion Manifolds with Convolutional Autoencoders
Monday, 02 November: 16:15 - 18:00
We present a technique for learning a manifold of human motion data using Convolutional Autoencoders. Our approach can learn a manifold on the complete CMU motion database. This manifold can be treated as a prior probability distribution over human motion data, which has applications including denoising and motion classification.
Presenter(s)
Daniel Holden, University of Edinburgh
Jun Saito, Marza Animation Planet
Taku Komura, University of Edinburgh
Thomas Joyce, University of Edinburgh