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Pushmeet Kohli

Pushmeet KohliPushmeet Kohli is a Research Scientist in the Machine Learning and Perception group at Microsoft Research, Cambridge. His research interests span the fields of Computer Vision, Machine Learning, Discrete Optimization, Game Theory, and Human-Computer nteraction with the overall aim of 'teaching' computers to understand the behaviour and intent of human users, and to correctly interpret (or 'See') objects and scenes depicted in colour/depth images or videos. In the context of tractability and optimization, Pushmeet has worked on developing adaptive combinatorial and message passing-based optimization algorithms that exploit the structure of problems to achieve improved performance. Read More Read Less

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1.
Computer Vision and Machine Learning with RGB-D Sensors
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Computer Vision and Machine Learning with RGB-D Sensors
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AED253
Binding:
Paperback
Release:
17 Sep 2016
Language:
English
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3.
Minimizing Dynamic and Higher Order Energy Functions Using Graph Cuts
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AED251
Binding:
Paperback
Release:
26 Jul 2010
Language:
English
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4.
Markov Random Fields for Vision and Image Processing
Publisher: Mit Press
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AED251
Binding:
Digital (delivered electronically)
Release:
01 Jan 2011
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5.
Computer Vision and Machine Learning with Rgb-D Sensors
Publisher: Springer
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AED105
Binding:
Paperback
Release:
31 Jul 2014
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6.
Markov Random Fields for Vision and Image Processing
Publisher: MIT Press Ltd
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AED203
Binding:
Digital download and online
Release:
22 Jul 2011
Language:
English
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7.
Tractability
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AED160
Binding:
Undefined
Release:
01 Jan 2014
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8.
Tractability
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AED438
Binding:
Hardback
Release:
06 Feb 2014
Language:
English
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9.
Markov Random Fields for Vision and Image Processing
Publisher: MIT Press Ltd
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AED81
Binding:
Hardback
Release:
22 Jul 2011
Language:
English
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