Kobus Barnard

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 26

Top Topics

Probabilistic Modeling

Bayesian Networks

Top Venues

IEEE Trans. Geosci. Remote. Sens.

IEEE Robotics Autom. Lett.

Publications

Ariyan Zarei, Bosheng Li, James C. Schnable, Eric Lyons, Duke Pauli, Kobus Barnard, Bedrich Benes
PlantSegNet: 3D point cloud instance segmentation of nearby plant organs with identical semantics. Comput. Electron. Agric. 221 (2024)
Paulo Soares, Adarsh Pyarelal, Kobus Barnard
Probabilistic Modeling of Human Teams to Infer False Beliefs. CoRR (2023)
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, Clayton T. Morrison, Emily Butler, Kobus Barnard
The ToMCAT Dataset. NeurIPS (2023)
Mohammad Reza Ehsani, Ariyan Zarei, Hoshin Vijai Gupta, Kobus Barnard, Eric Lyons, Ali Behrangi
NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Ariyan Zarei, Emmanuel Gonzalez, Nirav C. Merchant, Duke Pauli, Eric Lyons, Kobus Barnard
MegaStitch: Robust Large-Scale Image Stitching. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
Asymmetric Contextual Modulation for Infrared Small Target Detection. WACV (2021)
Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
Modular Procedural Generation for Voxel Maps. CoRR (2021)
Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
Modular Procedural Generation for Voxel Maps. ToM for Teams (2021)
Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta, Kobus Barnard, Ali Behrangi
Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG. CoRR (2021)
Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
Attentional Feature Fusion. WACV (2021)
Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
Attentional Local Contrast Networks for Infrared Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 59 (11) (2021)
Yimian Dai, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
Attention as Activation. CoRR (2020)
Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
Asymmetric Contextual Modulation for Infrared Small Target Detection. CoRR (2020)
Yimian Dai, Stefan Oehmcke, Fabian Gieseke, Yiquan Wu, Kobus Barnard
Attention as Activation. ICPR (2020)
Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
Attentional Feature Fusion. CoRR (2020)
Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
Attentional Local Contrast Networks for Infrared Small Target Detection. CoRR (2020)
Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard
Improving Visual Feature Extraction in Glacial Environments. IEEE Robotics Autom. Lett. 5 (2) (2020)
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, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) (2019)
Anas Katib, Praveen Rao, Kobus Barnard, Charles A. Kamhoua
Fast Approximate Score Computation on Large-Scale Distributed Data for Learning Multinomial Bayesian Networks. ACM Trans. Knowl. Discov. Data 13 (2) (2019)
Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard
Improving Visual Feature Extraction in Glacial Environments. CoRR (2019)
Arun Zachariah, Praveen Rao, Anas Katib, Monica Senapati, Kobus Barnard
A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks. ICDE (2019)
Ernesto Brau, Jinyan Guan, Tanya Jeffries, Kobus Barnard
Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video. ECCV (4) (2018)
Rodrigo Savage, Leon F. Palafox, Clayton T. Morrison, Jeffrey J. Rodríguez, Kobus Barnard, Shane Byrne, Christopher W. Hamilton
A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images. IEEE Trans. Geosci. Remote. Sens. 56 (10) (2018)
Praveen Rao, Anas Katib, Kobus Barnard, Charles A. Kamhoua, Kevin A. Kwiat, Laurent Njilla
Scalable Score Computation for Learning Multinomial Bayesian Networks over Distributed Data. AAAI Workshops (2017)
Kyle Simek, Ravishankar Palanivelu, Kobus Barnard
Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees. ECCV (8) (2016)
Kyle Simek, Ravishankar Palanivelu, Kobus Barnard
Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees. CoRR (2016)
Jinyan Guan, Kyle Simek, Ernesto Brau, Clayton T. Morrison, Emily Butler, Kobus Barnard
Moderated and Drifting Linear Dynamical Systems. ICML (2015)
Luca Del Pero, Joshua Bowdish, Bonnie Kermgard, Emily Hartley, Kobus Barnard
Understanding Bayesian Rooms Using Composite 3D Object Models. CVPR (2013)
Andrew Predoehl, Scott Morris, Kobus Barnard
A Statistical Model for Recreational Trails in Aerial Images. CVPR (2013)
Qiyam Tung, Maximiliano Korp, Chris Gniady, Alon Efrat, Kobus Barnard
MobiSLIC: Content-Aware Energy Saving for Educational Videos on Mobile Devices. MobiQuitous (2013)
Ernesto Brau, Jinyan Guan, Kyle Simek, Luca Del Pero, Colin R. Dawson, Kobus Barnard
Bayesian 3D Tracking from Monocular Video. ICCV (2013)
Raquel Torres Peralta, Antons Rebguns, Ian R. Fasel, Kobus Barnard
Learning a Policy for Gesture-Based Active Multi-touch Authentication. HCI (27) (2013)
Luca Del Pero, Joshua Bowdish, Daniel Fried, Bonnie Kermgard, Emily Hartley, Kobus Barnard
Bayesian geometric modeling of indoor scenes. CVPR (2012)
Yekaterina Kharitonova, Qiyam Tung, Alexander Danehy, Alon Efrat, Kobus Barnard
Client-side backprojection of presentation slides into educational video. ACM Multimedia (2012)
Luca Del Pero, Jinyan Guan, Ernesto Brau, Joseph Schlecht, Kobus Barnard
Sampling bedrooms. CVPR (2011)
Ernesto Brau, Damayanthi Dunatunga, Kobus Barnard, Tatsuya Tsukamoto, Ravi Palanivelu, Philip Lee
A generative statistical model for tracking multiple smooth trajectories. CVPR (2011)
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat
Robust Spatiotemporal Matching of Electronic Slides to Presentation Videos. IEEE Trans. Image Process. 20 (8) (2011)
Luca Del Pero, Philip Lee, James Magahern, Emily Hartley, Kobus Barnard, Ping Wang, Atul Kanaujia, Niels Haering
Fusing object detection and region appearance for image-text alignment. ACM Multimedia (2011)
Qiyam Tung, Ranjini Swaminathan, Alon Efrat, Kobus Barnard
Expanding the point: automatic enlargement of presentation video elements. ACM Multimedia (2011)
Ranjini Swaminathan, Michael E. Thompson, Sandiway Fong, Alon Efrat, Arnon Amir, Kobus Barnard
Improving and Aligning Speech with Presentation Slides. ICPR (2010)
Keiji Yanai, Kobus Barnard
Region-based automatic web image selection. Multimedia Information Retrieval (2010)
Prasad Gabbur, Hong Hua, Kobus Barnard
A fast connected components labeling algorithm and its application to real-time pupil detection. Mach. Vis. Appl. 21 (5) (2010)
Joseph Schlecht, Kobus Barnard
Learning models of object structure. NIPS (2009)
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat
Accurate alignment of presentation slides with educational video. ICME (2009)
Scott Morris, Kobus Barnard
Finding trails. CVPR (2008)
Joseph Schlecht, Matthew E. Kaplan, Kobus Barnard, Tatiana Karafet, Michael F. Hammer, Nirav C. Merchant
Machine-Learning Approaches for Classifying Haplogroup from Y Chromosome STR Data. PLoS Comput. Biol. 4 (6) (2008)
Kobus Barnard, Quanfu Fan, Ranjini Swaminathan, Anthony Hoogs, Roderic Collins, Pascale Rondot, John P. Kaufhold
Evaluation of Localized Semantics: Data, Methodology, and Experiments. Int. J. Comput. Vis. 77 (1-3) (2008)
Joseph Schlecht, Kobus Barnard, Ekaterina H. Spriggs, Barry Pryor
Inferring Grammar-based Structure Models from 3D Microscopy Data. CVPR (2007)
Quanfu Fan, Arnon Amir, Kobus Barnard, Ranjini Swaminathan, Alon Efrat
Temporal Modeling of Slide Change in Presentation Videos. ICASSP (1) (2007)
Kobus Barnard, Quanfu Fan
Reducing correspondence ambiguity in loosely labeled training data. CVPR (2007)
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat, Ming Lin
Matching slides to presentation videos using SIFT and scene background matching. Multimedia Information Retrieval (2006)
Deva Ramanan, David A. Forsyth, Kobus Barnard
Building Models of Animals from Video. IEEE Trans. Pattern Anal. Mach. Intell. 28 (8) (2006)
Joseph Schlecht, Kobus Barnard, Barry Pryor
Statistical Inference of Biological Structure and Point Spread Functions in 3D Microscopy. 3DPVT (2006)
Keiji Yanai, Kobus Barnard
Finding visual concepts by web image mining. WWW (2006)
Kobus Barnard, Keiji Yanai, Matthew Johnson, Prasad Gabbur
Cross Modal Disambiguation. Toward Category-Level Object Recognition (2006)
Nikhil V. Shirahatti, Kobus Barnard
Evaluating Image Retrieval. CVPR (1) (2005)
Kobus Barnard, Matthew Johnson
Word sense disambiguation with pictures. Artif. Intell. 167 (1-2) (2005)
Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, Kobus Barnard
Evaluation strategies for image understanding and retrieval. Multimedia Information Retrieval (2005)
Deva Ramanan, David A. Forsyth, Kobus Barnard
Detecting, Localizing and Recovering Kinematics of Textured Animals. CVPR (2) (2005)
Keiji Yanai, Kobus Barnard
Probabilistic web image gathering. Multimedia Information Retrieval (2005)
Deok-Hwan Kim, Chin-Wan Chung, Kobus Barnard
Relevance feedback using adaptive clustering for image similarity retrieval. J. Syst. Softw. 78 (1) (2005)
Keiji Yanai, Kobus Barnard
Image region entropy: a measure of "visualness" of web images associated with one concept. ACM Multimedia (2005)
Peter Carbonetto, Nando de Freitas, Kobus Barnard
A Statistical Model for General Contextual Object Recognition. ECCV (1) (2004)
Scott Morris, Alan Morris, Kobus Barnard
Digital trail libraries. JCDL (2004)
Kobus Barnard, Pinar Duygulu, Raghavendra Guru, Prasad Gabbur, David A. Forsyth
The Effects of Segmentation and Feature Choice in a Translation Model of Object Recognition. CVPR (2) (2003)
Kobus Barnard, Prasad Gabbur
Color and Color Constancy in a Translation Model for Object Recognition. Color Imaging Conference (2003)
Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando de Freitas, David M. Blei, Michael I. Jordan
Matching Words and Pictures. J. Mach. Learn. Res. 3 (2003)
Kobus Barnard, Vlad C. Cardei, Brian V. Funt
A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data. IEEE Trans. Image Process. 11 (9) (2002)
Kobus Barnard, Lindsay Martin, Adam Coath, Brian V. Funt
A comparison of computational color constancy Algorithms. II. Experiments with image data. IEEE Trans. Image Process. 11 (9) (2002)
Kobus Barnard, Pinar Duygulu, David A. Forsyth
Modeling the statistics of image features and associated text. Document Recognition and Retrieval (2002)
Pinar Duygulu, Kobus Barnard, João F. G. de Freitas, David A. Forsyth
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary. ECCV (4) (2002)
Kobus Barnard, David A. Forsyth
Learning the Semantics of Words and Pictures. ICCV (2001)
Kobus Barnard, David A. Forsyth
Exploiting image semantics for picture libraries. JCDL (2001)
Kobus Barnard, Pinar Duygulu, David A. Forsyth
Clustering Art. CVPR (2) (2001)
Kobus Barnard
Improvements to Gamut Mapping Colour Constancy Algorithms. ECCV (1) (2000)
Kobus Barnard, Lindsay Martin, Brian V. Funt
Colour by Correlation in a Three-Dimensional Colour Space. ECCV (1) (2000)
Kobus Barnard, Graham D. Finlayson
Shadow Identification using Colour Ratios. Color Imaging Conference (2000)
Kobus Barnard
Color Constancy with Fluorescent Surfaces. Color Imaging Conference (1999)
Kobus Barnard, Brian V. Funt
Camera calibration for color research. Human Vision and Electronic Imaging (1999)
Vlad C. Cardei, Brian V. Funt, Kobus Barnard
White Point Estimation for Uncalibrated Images. Color Imaging Conference (1999)
Kobus Barnard, Brian V. Funt
Color Constancy with Specular and Non-Specular Surfaces. Color Imaging Conference (1999)
Kobus Barnard, Brian V. Funt
Experiments in Sensor Sharpening for Color Constancy. Color Imaging Conference (1998)
Brian V. Funt, Kobus Barnard, Lindsay Martin
Is Machine Colour Constancy Good Enough? ECCV (1) (1998)
Kobus Barnard, Brian V. Funt
Analysis and Improvement of Multi-Scale Retinex. Color Imaging Conference (1997)
Kobus Barnard, Graham D. Finlayson, Brian V. Funt
Color Constancy for Scenes with Varying Illumination. Comput. Vis. Image Underst. 65 (2) (1997)
Russell C. Hardie, Timothy R. Tuinstra, Kobus Barnard, John G. Bognar, Ernest E. Armstrong
High Resolution Image Reconstruction from Digital Video with In-Scene Motion. ICIP (1) (1997)
Kobus Barnard, Graham D. Finlayson, Brian V. Funt
Colour Constancy for Scenes with Varying Illumination. ECCV (2) (1996)
Brian V. Funt, Vlad C. Cardei, Kobus Barnard
Learning Color Constancy. Color Imaging Conference (1996)
Graham D. Finlayson, Brian V. Funt, Kobus Barnard
Color Constancy under Varying Illumination. ICCV (1995)