Pedro Felipe Felzenszwalb is a computer scientist and professor at Brown University who earned a BS in computer science from Cornell University in 1999. His research centers on computer vision, geometric algorithms and artificial intelligence, and he is best known for the paper Object Detection with Discriminatively Trained Part-Based Models, developing the deformable parts model method for detecting objects in images and video. He received the Association for Computing Machinery's Grace Murray Hopper Award in 2013 for his contributions to object recognition in pictures and video, and the Longuet-Higgins Prize twice, in 2010 and 2018, for fundamental contributions to computer vision.
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AwardGrace Murray Hopper Award 1 Connections
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Source Pedro Felipe Felzenszwalb (Wikipedia)
Source Pedro Felipe Felzenszwalb (Wikipedia)
Source Pedro Felipe Felzenszwalb (Wikipedia)
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Source Wikidata: Pedro Felipe Felzenszwalb
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1. Wikidata: Pedro Felipe Felzenszwalb
Wikidata Q64009334, resolved via en.wikipedia pageprops (wave rule R-L)View the Source Pedro Felipe Felzenszwalb (Wikipedia)
In Field: Artificial Intelligence, Infobox: fields
Computer vision Artificial intelligence Machine learning Discrete mathematics
In Field: Machine Learning, Infobox: fields
Computer vision Artificial intelligence Machine learning Discrete mathematics
In Field: Computer Vision, Infobox: fields
Computer vision Artificial intelligence Machine learning Discrete mathematics
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