Picture: A Probabilistic Programming Language for Scene Perception

Recent progress on probabilistic modeling and statistical learning, coupled with the availability of large training datasets, has led to remarkable progress in computer vision. Generative probabilistic models, or “analysis-by-synthesis” approaches, can capture rich scene structure but have been less...

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Bibliographic Details
Main Authors: Kulkarni, Tejas Dattatraya, Tenenbaum, Joshua B., Mansinghka, Vikash K., Kohli, Pushmeet
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2015
Online Access:http://hdl.handle.net/1721.1/96620
https://orcid.org/0000-0002-7077-2765
https://orcid.org/0000-0002-1925-2035