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Kobus Barnard Home Page

Best URL for linking to this page:    http://kobus.ca

My email:      kobus AT cs DOT arizona DOT edu

Open appointment times by email.

Lab : Interdisciplinary Visual Intelligence (IVILAB)

Teaching: Current [ CS 477/577 ]   |   All courses taught


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Kobus Barnard outdoor photo

I am a professor of computer science at the University of Arizona. My primary appointment is with Computer Science. I also have an appointment with Electrical and Computer engineering (ECE), and serve as faculty for Cognitive Science, Statistics. and BIO5, Before coming to Arizona, I was a post doctoral fellow in computer vision at the University of California at Berkeley. I did my Ph.D. in computer science at Simon Fraser University, specializing in colour constancy. My research interests include image and video understanding, learning and fitting models of biological form, the application of computer vision to the organization and effective use of large image collections, and physics based vision problems such as understanding scene illumination.

IVILAB News

Recent IVILAB news

  • July 11, 2016
    Congratulations to Kyle Simek for getting his paper "Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees," accepted to ECCV 2016. His coauthors are Ravishankar Palanivelu and Kobus Barnard.

  • April 22, 2016
    IVILA lead, Kobus Barnard, has finally finshed his book "Computational methods for integrating vision and language," (Synthesis Lectures on Computer Vision, April 2016, 227 pages, Morgan & Claypool)

  • April 19, 2016
    Congratulations to four IVILAB students for successfully defending their dissertations in the period from April 14 to April 19. In chronological order:

    Andrew Predoehl: A Statistical Model of Recreational Trails

    Kyle Simek: Branching Gaussian Process Models for Computer Vision

    Jinyan Guan: Bayesian Generative Modeling for Complex Dynamical Systems

    Yekaterina Kharitonova: Geometry of Presentation Videos and slides, and the Semantic Linking of Instructional Content (SLIC) System

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