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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.Show Less
VOSviewer
Courses
- PGMProbabilistic Graphical Models
- BMIBayesian Modeling and Inference
- IPPFImages: Past, Present, and Future
- CVAUIVComputer Vision A: Understanding Images and Video
- ATCIAdvanced Topics in Computational Intelligence
- ICVIntroduction to Computer Vision
- SPUSystems Programming and Unix
Grants
- High Resolution Imagery to Train and Validate Deep Learning Models of Inundation Extent for Multiple Satellite Sensors
Co-Investigator (COI)
2021
$196.0K
Active - ToMCAT: Theory of Mind-based Cognitive Architecture for Teams
Co-Investigator (COI)
2019
$5.0M
Active - GRASP: Global Reading and Assembly for Semantic, Probabilistic World Models
Co-Investigator (COI)
2017
$9.6M
- GRASP: Global Reading and Assembly for Semantic, Probabilistic World Models
Co-Investigator (COI)
2017
$1.1M
- Reach: Reading and Assembling Contextual and Holistic Mechanisms From Text
Co-Investigator (COI)
2014
$3.6M
- Impact of CMV Upon T-Cell Aging and Immune Defense
Key Personnel (KP)
2014
$2.6M
- Impact of CMV Upon T-Cell Aging and Immune Defense
Key Personnel (KP)
2014
$143.1K
- Computational Temporal Interpersonal Emotion Systems (CompTIES)
Co-Investigator (COI)
2013
$399.2K
- Multi-modal Knowledge Acquisition from Documents (STTR COLLAB AGR)
Principal Investigator (PI)
2010
$22.9K
- 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 consumersâ 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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