Galileo: Perceiving physical object properties by integrating a physics engine with deep learning

Humans demonstrate remarkable abilities to predict physical events in dynamic scenes, and to infer the physical properties of objects from static images. We propose a generative model for solving these problems of physical scene understanding from real-world videos and images. At the core of our gen...

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Bibliographic Details
Main Authors: Yildirim, Ilker (Author), Wu, Jiajun (Contributor), Lim, Joseph Jaewhan (Contributor), Tenenbaum, Joshua B. (Contributor), Freeman, William T. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Neural Information Processing Systems Foundation, 2018-06-06T13:42:18Z.
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