KMap
Kobus Barnard, PhD, is an associate professor in the recently formed University of Arizona School of Information: Science, Technology, and Arts (SISTA), created to foster computational approaches across disciplines in both research and education. He also has University of Arizona appointments with Computer Science, ECE, Statistics, Cognitive Sciences, and BIO5. He leads the Interdisciplinary Visual Intelligence Lab (IVILAB) currently housed in SISTA. Research in the IVILAB revolves around building top-down statistical models that link theory and semantics to data. Such models support going from data to knowledge using Bayesian inference. Much of this work is in the context of inferring semantics and geometric form from image and video. For example, in collaboration with multiple researchers, the IVILAB has applied this approach to problems in computer vision (e.g., tracking people in 3D from video, understanding 3D scenes from images, and learning models of object structure) and biological image understanding (e.g., tracking pollen tubes growing in vitro, inferring the morphology of neurons grown in culture, extracting 3D structure of filamentous fungi from the genus Alternaria from brightfield microscopy image stacks, and extracting 3D structure of Arabidopsis plants). An additional IVILAB research project, Semantically Linked Instructional Content (SLIC) is on improving access to educational video through searching and browsing.Dr. Barnard holds an NSF CAREER grant, and has received support from three additional NSF grants, the DARPA Mind’s eye program, ONR, the Arizona Biomedical Research Commission (ABRC), and a BIO5 seed grant. He was supported by NSERC (Canada) during graduate and post-graduate studies (NSERC A, B and PDF). His work on computational color constancy was awarded the Governor General’s gold medal for the best dissertation across disciplines at SFU. He has published over 80 papers, including one awarded best paper on cognitive computer vision in 2002.

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Courses
  • PGM
    Probabilistic Graphical Models

  • BMI
    Bayesian Modeling and Inference

  • IPPF
    Images: Past, Present, and Future

  • CVAUIV
    Computer Vision A: Understanding Images and Video

  • ATCI
    Advanced Topics in Computational Intelligence

  • ICV
    Introduction to Computer Vision

  • SPU
    Systems Programming and Unix

Grants
  • Funding agency logo
    High Resolution Imagery to Train and Validate Deep Learning Models of Inundation Extent for Multiple Satellite Sensors

    Co-Investigator (COI)

    2021

    $196.0K
    Active
  • Funding agency logo
    ToMCAT: Theory of Mind-based Cognitive Architecture for Teams

    Co-Investigator (COI)

    2019

    $5.0M
    Active
  • Funding agency logo
    GRASP: Global Reading and Assembly for Semantic, Probabilistic World Models

    Co-Investigator (COI)

    2017

    $9.6M
  • Funding agency logo
    GRASP: Global Reading and Assembly for Semantic, Probabilistic World Models

    Co-Investigator (COI)

    2017

    $1.1M
  • Funding agency logo
    Reach: Reading and Assembling Contextual and Holistic Mechanisms From Text

    Co-Investigator (COI)

    2014

    $3.6M
  • Funding agency logo
    Impact of CMV Upon T-Cell Aging and Immune Defense

    Key Personnel (KP)

    2014

    $2.6M
  • Funding agency logo
    Impact of CMV Upon T-Cell Aging and Immune Defense

    Key Personnel (KP)

    2014

    $143.1K
  • Funding agency logo
    Computational Temporal Interpersonal Emotion Systems (CompTIES)

    Co-Investigator (COI)

    2013

    $399.2K
  • Funding agency logo
    Multi-modal Knowledge Acquisition from Documents (STTR COLLAB AGR)

    Principal Investigator (PI)

    2010

    $22.9K
  • Funding agency logo
    NSF Industry/ University Cooperative Research Center for Autonomic Computing (Membership Agreement)

    Co-Investigator (COI)

    2008

    $517.5K
Technologies / Patents
      News
      • Grant to Fund Development of Socially Savvy Artificial Intelligence

        2020

      • Raising Computers to Be Good Scientists

        2015

      • UA Undergraduate Researcher Earns Prestigious National Award

        2014

      • Q&A: The Human-Robot Connection

        2013

      • Two UA Students Earn Goldwater Scholarships

        2013

      • Multi-Million Dollar Project Aims to Improve Surveillance

        2010

      • NSF Fellowship Goes to UA Computer Science Alumna

        2008

      • UA's Aerial Robotics Club Moves a Giant Step Closer to $40,000 Prize

        2003

      Publications (84)
      Recent
      • MegaStitch: Robust Large Scale Image Stitching

        2022

      • Attentional Feature Fusion

        2021

      • Probabilistic Modeling of Human Intents and Beliefs to Predict Actions Under False Belief,

        2021

      • Modular Procedural Generation for Voxel Maps

        2021

      • Attentional Local Contrast Networks for Infrared Small Target Detection

        2021

      • Transients and their Host Galaxy Properties: Transient Sample, Multi-Wavelength Host Identification, and Database Construction

        2021

      • Asymmetric Contextual Modulation for Infrared Small Target Detection

        2021

      • Attention As Activation

        2020

      • Fiber bundle imaging resolution enhancement using deep learning

        2019

      • Fiber bundle image restoration using deep learning

        2019

      • Interpreting Causal Expressions with Gradable Adjectives to Assembly Dynamics Models

        2019

      • Quantifying Interpersonal Dynamics for the Study of Socio-Emotional Processes and Health

        2019

      • Eidos, INDRA Delphi: From Free Text to Executable Causal Models

        2019

      • A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks

        2019

      • Predicting experiential (vs. monetary) risk preferences from consumers’ memory: A behavioral and neuroimaging experiment

        2019

      • Improving Visual Feature Extraction in Glacial Environments

        2019

      • Resolution enhancement for fiber bundle imaging using maximum a posteriori estimation

        2018

      • Fast Approximate Score Computation on Large-Scale Distributed Data for Learning Multinomial Bayesian Networks

        2018

      • A Bayesian Approach to Sub-Kilometer Crater Shape Analysis using Individual HiRISE Images

        2018

      • Multiple-gaze geometry: Inferring novel 3D locations from gazes observed in monocular video

        2018

      • Scalable Score Computation for Learning Multinomial Bayesian Networks over Distributed Data

        2017

      • Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees

        2016

      • Moderated and Drifting Linear Dynamical Systems

        2015

      • Distinguishing emotional coregulation from codysregulation: an investigation of emotional dynamics and body weight in romantic couples

        2015

      • Multimodal probabilistic generative models for time-course gene expression data and Gene Ontology (GO) tags

        2015

      • Gaussian Process Shape Models for Bayesian Segmentation of Plant Leaves

        2015

      • Understanding bayesian rooms using composite 3D object models

        2013

      • Testing the effects of suppression and reappraisal on emotional concordance using a multivariate multilevel model

        2013

      • Learning a policy for gesture-based active multi-touch authentication

        2013

      • A cell-based fascin bioassay identifies compounds with potential anti-metastasis or cognition-enhancing functions

        2013

      • A statistical model for recreational trails in aerial images

        2013

      • Bayesian geometric modeling of indoor scenes

        2012

      • Entropy-Based Analysis of Visual and Geolocation Concepts in Images

        2012

      • A generative statistical model for tracking multiple smooth trajectories

        2011

      • A generative statistical model for tracking multiple smooth trajectories of pollen tubes

        2011

      • Fusing object detection and region appearance for image-text alignment

        2011

      • Sampling bedrooms

        2011

      • Robust spatiotemporal matching of electronic slides to presentation videos

        2011

      • Modelling and visualizing morphology in the fungus Alternaria

        2011

      • A fast connected components labeling algorithm and its application to real-time pupil detection

        2010

      • Region-based automatic web image selection

        2010

      • Learning models of object structure

        2009

      • Evaluation of localized semantics: Data, methodology, and experiments

        2008

      • Finding trails

        2008

      • Machine-learning approaches for classifying haplogroup from Y chromosome STR data

        2008

      • Inferring grammar-based structure models from 3D microscopy data

        2007

      • Reducing correspondence ambiguity in loosely labeled training data

        2007

      • Statistical inference of biological structure and point spread functions in 3D microscopy

        2007

      • Finding visual concepts by web image mining

        2006

      • Phenotypes of Drosophila brain neurons in primary culture reveal a role for fascin in neurite shape and trajectory

        2006

      • Building models of animals from video

        2006

      • Image region entropy: A measure of visualness of web images associated with one concept

        2005

      • Relevance feedback using adaptive clustering for image similarity retrieval

        2005

      • Probabilistic travel modeling using GPS

        2005

      • Evaluating image retrieval

        2005

      • Detecting, localizing and recovering kinematics of textured animals

        2005

      • Word sense disambiguation with pictures

        2005

      • A statistical model for general contextual object recognition

        2004

      • Digital trail libraries

        2004

      • Matching Words and Pictures

        2003

      • Recognition as translating images into text

        2003

      • A method for comparing content based image retrieval methods

        2003

      • The effects of segmentation and feature choice in a translation model of object recognition

        2003

      • Color and Color Constancy in a Translation Model for Object Recognition

        2003

      • A comparison of computational color constancy algorithms - Part II: Experiments with image data

        2002

      • Camera characterization for color research

        2002

      • Modeling the statistics of image features and associated text

        2002

      • A data set for color research

        2002

      • Estimating the scene illumination chromaticity by using a neural network

        2002

      • A comparison of computational color constancy algorithms - Part I: Methodology and experiments with synthesized data

        2002

      • Clustering art

        2001

      • Exploiting image semantics for picture libraries

        2001

      • Learning the semantics of words and pictures

        2001

      • Sensor sharpening for computational color constancy

        2001

      • Shadow identification using colour ratios

        2000

      • Color constancy with fluorescent surfaces

        1999

      • White point estimation for uncalibrated images

        1999

      • Camera calibration for color research

        1999

      • Color constancy with specular and non-specular surfaces

        1999

      • Experiments in sensor sharpening for color constancy

        1998

      • Color Constancy for Scenes with Varying Illumination

        1997

      • Analysis and improvement of multi-scale retinex

        1997

      • Learning color constancy

        1996

      • Color constancy under varying illumination

        1995

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