Color Constancy under Varying Illumination. - Graham D. Finlayson; Brian V. Funt; Kobus Barnard (ICCV, 1995)

Colour Constancy for Scenes with Varying Illumination. - Kobus Barnard; Graham D. Finlayson; Brian V. Funt (ECCV (2), 1996)

Learning Color Constancy. - Brian V. Funt; Vlad C. Cardei; Kobus Barnard (CIC, 1996)

High Resolution Image Reconstruction from Digital Video with In-Scene Motion. - Russell C. Hardie; Timothy R. Tuinstra; Kobus Barnard; John G. Bognar; Ernest E. Armstrong (ICIP (1), 1997)

Analysis and Improvement of Multi-Scale Retinex. - Kobus Barnard; Brian V. Funt (CIC, 1997)

Color Constancy for Scenes with Varying Illumination. - Kobus Barnard; Graham D. Finlayson; Brian V. Funt (Comput. Vis. Image Underst., 1997)

Is Machine Colour Constancy Good Enough? - Brian V. Funt; Kobus Barnard; Lindsay Martin (ECCV (1), 1998)

Experiments in Sensor Sharpening for Color Constancy. - Kobus Barnard; Brian V. Funt (CIC, 1998)

Camera calibration for color research. - Kobus Barnard; Brian V. Funt (Human Vision and Electronic Imaging, 1999)

Color Constancy with Fluorescent Surfaces. - Kobus Barnard (CIC, 1999)

Color Constancy with Specular and Non-Specular Surfaces. - Kobus Barnard; Brian V. Funt (CIC, 1999)

White Point Estimation for Uncalibrated Images. - Vlad C. Cardei; Brian V. Funt; Kobus Barnard (CIC, 1999)

Improvements to Gamut Mapping Colour Constancy Algorithms. - Kobus Barnard (ECCV (1), 2000)

Colour by Correlation in a Three-Dimensional Colour Space. - Kobus Barnard; Lindsay Martin; Brian V. Funt (ECCV (1), 2000)

Shadow Identification using Colour Ratios. - Kobus Barnard; Graham D. Finlayson (CIC, 2000)

Clustering Art. - Kobus Barnard; Pinar Duygulu; David A. Forsyth (CVPR (2), 2001)

Learning the Semantics of Words and Pictures. - Kobus Barnard; David A. Forsyth (ICCV, 2001)

Exploiting image semantics for picture libraries. - Kobus Barnard; David A. Forsyth (JCDL, 2001)

Modeling the statistics of image features and associated text. - Kobus Barnard; Pinar Duygulu; David A. Forsyth (Document Recognition and Retrieval, 2002)

Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary. - Pinar Duygulu; Kobus Barnard; João F. G. de Freitas; David A. Forsyth (ECCV (4), 2002)

A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data. - Kobus Barnard; Vlad C. Cardei; Brian V. Funt (IEEE Trans. Image Process., 2002)

A comparison of computational color constancy Algorithms. II. Experiments with image data. - Kobus Barnard; Lindsay Martin; Adam Coath; Brian V. Funt (IEEE Trans. Image Process., 2002)

The Effects of Segmentation and Feature Choice in a Translation Model of Object Recognition. - Kobus Barnard; Pinar Duygulu; Raghavendra Guru; Prasad Gabbur; David A. Forsyth (CVPR (2), 2003)

Color and Color Constancy in a Translation Model for Object Recognition. - Kobus Barnard; Prasad Gabbur (CIC, 2003)

Matching Words and Pictures. - Kobus Barnard; Pinar Duygulu; David A. Forsyth; Nando de Freitas; David M. Blei; Michael I. Jordan (J. Mach. Learn. Res., 2003)

A Statistical Model for General Contextual Object Recognition. - Peter Carbonetto; Nando de Freitas; Kobus Barnard (ECCV (1), 2004)

Digital trail libraries. - Scott Morris 001; Alan Morris; Kobus Barnard (JCDL, 2004)

Detecting, Localizing and Recovering Kinematics of Textured Animals. - Deva Ramanan; David A. Forsyth; Kobus Barnard (CVPR (2), 2005)

Evaluating Image Retrieval. - Nikhil V. Shirahatti; Kobus Barnard (CVPR (1), 2005)

Probabilistic web image gathering. - Keiji Yanai; Kobus Barnard (Multimedia Information Retrieval, 2005)

Evaluation strategies for image understanding and retrieval. - Keiji Yanai; Nikhil V. Shirahatti; Prasad Gabbur; Kobus Barnard (Multimedia Information Retrieval, 2005)

Image region entropy: a measure of "visualness" of web images associated with one concept. - Keiji Yanai; Kobus Barnard (ACM Multimedia, 2005)

Word sense disambiguation with pictures. - Kobus Barnard; Matthew Johnson 003 (Artif. Intell., 2005)

Relevance feedback using adaptive clustering for image similarity retrieval. - Deok-Hwan Kim; Chin-Wan Chung; Kobus Barnard (J. Syst. Softw., 2005)

Statistical Inference of Biological Structure and Point Spread Functions in 3D Microscopy. - Joseph Schlecht; Kobus Barnard; Barry Pryor (3DPVT, 2006)

Cross Modal Disambiguation. - Kobus Barnard; Keiji Yanai; Matthew Johnson 003; Prasad Gabbur (Toward Category-Level Object Recognition, 2006)

Matching slides to presentation videos using SIFT and scene background matching. - Quanfu Fan; Kobus Barnard; Arnon Amir; Alon Efrat; Ming Lin (Multimedia Information Retrieval, 2006)

Finding visual concepts by web image mining. - Keiji Yanai; Kobus Barnard (WWW, 2006)

Building Models of Animals from Video. - Deva Ramanan; David A. Forsyth; Kobus Barnard (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Reducing correspondence ambiguity in loosely labeled training data. - Kobus Barnard; Quanfu Fan (CVPR, 2007)

Inferring Grammar-based Structure Models from 3D Microscopy Data. - Joseph Schlecht; Kobus Barnard; Ekaterina H. Spriggs; Barry Pryor (CVPR, 2007)

Temporal Modeling of Slide Change in Presentation Videos. - Quanfu Fan; Arnon Amir; Kobus Barnard; Ranjini Swaminathan; Alon Efrat (ICASSP (1), 2007)

Finding trails. - Scott Morris 001; Kobus Barnard (CVPR, 2008)

Evaluation of Localized Semantics: Data, Methodology, and Experiments. - Kobus Barnard; Quanfu Fan; Ranjini Swaminathan; Anthony Hoogs; Roderic Collins; Pascale Rondot; John P. Kaufhold (Int. J. Comput. Vis., 2008)

Machine-Learning Approaches for Classifying Haplogroup from Y Chromosome STR Data. - Joseph Schlecht; Matthew E. Kaplan; Kobus Barnard; Tatiana Karafet; Michael F. Hammer; Nirav C. Merchant (PLoS Comput. Biol., 2008)

Accurate alignment of presentation slides with educational video. - Quanfu Fan; Kobus Barnard; Arnon Amir; Alon Efrat (ICME, 2009)

Learning models of object structure. - Joseph Schlecht; Kobus Barnard (NIPS, 2009)

Improving and Aligning Speech with Presentation Slides. - Ranjini Swaminathan; Michael E. Thompson; Sandiway Fong; Alon Efrat; Arnon Amir; Kobus Barnard (ICPR, 2010)

Region-based automatic web image selection. - Keiji Yanai; Kobus Barnard (Multimedia Information Retrieval, 2010)

A fast connected components labeling algorithm and its application to real-time pupil detection. - Prasad Gabbur; Hong Hua; Kobus Barnard (Mach. Vis. Appl., 2010)

A generative statistical model for tracking multiple smooth trajectories. - Ernesto Brau; Damayanthi Dunatunga; Kobus Barnard; Tatsuya Tsukamoto; Ravi Palanivelu; Philip Lee (CVPR, 2011)

Sampling bedrooms. - Luca Del Pero; Jinyan Guan; Ernesto Brau; Joseph Schlecht; Kobus Barnard (CVPR, 2011)

Fusing object detection and region appearance for image-text alignment. - Luca Del Pero; Philip Lee; James Magahern; Emily Hartley; Kobus Barnard; Ping Wang; Atul Kanaujia; Niels Haering (ACM Multimedia, 2011)

Expanding the point: automatic enlargement of presentation video elements. - Qiyam Tung; Ranjini Swaminathan; Alon Efrat; Kobus Barnard (ACM Multimedia, 2011)

Robust Spatiotemporal Matching of Electronic Slides to Presentation Videos. - Quanfu Fan; Kobus Barnard; Arnon Amir; Alon Efrat (IEEE Trans. Image Process., 2011)

Bayesian geometric modeling of indoor scenes. - Luca Del Pero; Joshua Bowdish; Daniel Fried; Bonnie Kermgard; Emily Hartley; Kobus Barnard (CVPR, 2012)

Client-side backprojection of presentation slides into educational video. - Yekaterina Kharitonova; Qiyam Tung; Alexander Danehy; Alon Efrat; Kobus Barnard (ACM Multimedia, 2012)

Understanding Bayesian Rooms Using Composite 3D Object Models. - Luca Del Pero; Joshua Bowdish; Bonnie Kermgard; Emily Hartley; Kobus Barnard (CVPR, 2013)

A Statistical Model for Recreational Trails in Aerial Images. - Andrew Predoehl; Scott Morris 001; Kobus Barnard (CVPR, 2013)

Learning a Policy for Gesture-Based Active Multi-touch Authentication. - Raquel Torres Peralta; Antons Rebguns; Ian R. Fasel; Kobus Barnard (HCI (27), 2013)

Bayesian 3D Tracking from Monocular Video. - Ernesto Brau; Jinyan Guan; Kyle Simek; Luca Del Pero; Colin R. Dawson; Kobus Barnard (ICCV, 2013)

MobiSLIC: Content-Aware Energy Saving for Educational Videos on Mobile Devices. - Qiyam Tung; Maximiliano Korp; Chris Gniady; Alon Efrat; Kobus Barnard (MobiQuitous, 2013)

Top-Down Bayesian Inference of Indoor Scenes. - Luca Del Pero; Kobus Barnard (Advanced Topics in Computer Vision, 2013)

Moderated and Drifting Linear Dynamical Systems. - Jinyan Guan; Kyle Simek; Ernesto Brau; Clayton T. Morrison; Emily Butler; Kobus Barnard (ICML, 2015)

Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees. - Kyle Simek; Ravishankar Palanivelu; Kobus Barnard (ECCV (8), 2016)

Computational Methods for Integrating Vision and Language - Kobus Barnard (Morgan & Claypool Publishers, 2016)

Scalable Score Computation for Learning Multinomial Bayesian Networks over Distributed Data. - Praveen Rao 001; Anas Katib; Kobus Barnard; Charles A. Kamhoua; Kevin A. Kwiat; Laurent Njilla (AAAI Workshops, 2017)

Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video. - Ernesto Brau; Jinyan Guan; Tanya Jeffries; Kobus Barnard (ECCV (4), 2018)

A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images. - Rodrigo Savage; Leon F. Palafox; Clayton T. Morrison; Jeffrey J. Rodríguez; Kobus Barnard; Shane Byrne; Christopher W. Hamilton (IEEE Trans. Geosci. Remote. Sens., 2018)

A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks. - Arun Zachariah; Praveen Rao 001; Anas Katib; Monica Senapati; Kobus Barnard (ICDE, 2019)

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. - Rebecca Sharp; Adarsh Pyarelal; Benjamin M. Gyori; Keith Alcock; Egoitz Laparra; Marco Antonio Valenzuela-Escárcega; Ajay Nagesh; Vikas Yadav; John A. Bachman; Zheng Tang; Heather C. Lent; Fan Luo; et al. (NAACL-HLT (Demonstrations), 2019)

Fast Approximate Score Computation on Large-Scale Distributed Data for Learning Multinomial Bayesian Networks. - Anas Katib; Praveen Rao 001; Kobus Barnard; Charles A. Kamhoua (ACM Trans. Knowl. Discov. Data, 2019)

Attention as Activation. - Yimian Dai; Stefan Oehmcke; Fabian Gieseke; Yiquan Wu; Kobus Barnard (ICPR, 2020)

Attention as Activation. - Yimian Dai; Stefan Oehmcke; Yiquan Wu; Kobus Barnard (CoRR, 2020)

Improving Visual Feature Extraction in Glacial Environments. - Steven D. Morad; Jeremy Nash; Shoya Higa; Russell Smith; Aaron Parness; Kobus Barnard (IEEE Robotics Autom. Lett., 2020)

Modular Procedural Generation for Voxel Maps. - Adarsh Pyarelal; Aditya Banerjee; Kobus Barnard (ToM for Teams, 2021)

Attentional Feature Fusion. - Yimian Dai; Fabian Gieseke; Stefan Oehmcke; Yiquan Wu; Kobus Barnard (WACV, 2021)

Asymmetric Contextual Modulation for Infrared Small Target Detection. - Yimian Dai; Yiquan Wu; Fei Zhou 006; Kobus Barnard (WACV, 2021)

Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG. - Mohammad Reza Ehsani; Ariyan Zarei; Hoshin V. Gupta; Kobus Barnard; Ali Behrangi (CoRR, 2021)

Attentional Local Contrast Networks for Infrared Small Target Detection. - Yimian Dai; Yiquan Wu; Fei Zhou 006; Kobus Barnard (IEEE Trans. Geosci. Remote. Sens., 2021)

NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks. - Mohammad Reza Ehsani; Ariyan Zarei; Hoshin Vijai Gupta; Kobus Barnard; Eric Lyons 002; Ali Behrangi (IEEE Trans. Geosci. Remote. Sens., 2022)

MegaStitch: Robust Large-Scale Image Stitching. - Ariyan Zarei; Emmanuel Gonzalez; Nirav C. Merchant; Duke Pauli; Eric Lyons 002; Kobus Barnard (IEEE Trans. Geosci. Remote. Sens., 2022)

The ToMCAT Dataset. - Adarsh Pyarelal; Eric Duong; Caleb Shibu; Paulo Soares; Savannah Boyd; Payal Khosla; Valeria A. Pfeifer; Diheng Zhang; Eric Andrews; Rick Champlin; Vincent Raymond; Meghavarshini Krishnaswamy; et al. (NeurIPS, 2023)

Probabilistic Modeling of Human Teams to Infer False Beliefs. - Paulo Soares; Adarsh Pyarelal; Kobus Barnard (CoRR, 2023)

Probabilistic Modeling of Interpersonal Coordination Processes. - Paulo Soares; Adarsh Pyarelal; Meghavarshini Krishnaswamy; Emily Butler; Kobus Barnard (ICML, 2024)

PlantSegNet: 3D point cloud instance segmentation of nearby plant organs with identical semantics. - Ariyan Zarei; Bosheng Li; James C. Schnable; Eric Lyons 002; Duke Pauli; Kobus Barnard; Bedrich Benes (Comput. Electron. Agric., 2024)