Kobus Barnard

92 papers A* 20A 3B 2C 1Journal 27Unranked 37
YearRankTypeTitle / Venue / Authors
2024 J jnl
PlantSegNet: 3D point cloud instance segmentation of nearby plant organs with identical semantics.
Comput. Electron. Agric.
Ariyan Zarei, Bosheng Li, James C. Schnable, Eric Lyons, Duke Pauli, Kobus Barnard, Bedrich Benes
2024 A* conf
Probabilistic Modeling of Interpersonal Coordination Processes.
ICML
Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy, Emily Butler, Kobus Barnard
2023 J jnl
Probabilistic Modeling of Human Teams to Infer False Beliefs.
CoRR
Paulo Soares, Adarsh Pyarelal, Kobus Barnard
2023 A* conf
The ToMCAT Dataset.
NeurIPS
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
2022 J jnl
MegaStitch: Robust Large-Scale Image Stitching.
IEEE Trans. Geosci. Remote. Sens.
Ariyan Zarei, Emmanuel Gonzalez, Nirav C. Merchant, Duke Pauli, Eric Lyons, Kobus Barnard
2022 J jnl
NowCasting-Nets: Representation Learning to Mitigate Latency Gap of Satellite Precipitation Products Using Convolutional and Recurrent Neural Networks.
IEEE Trans. Geosci. Remote. Sens.
Mohammad Reza Ehsani, Ariyan Zarei, Hoshin Vijai Gupta, Kobus Barnard, Eric Lyons, Ali Behrangi
2021 A conf
Asymmetric Contextual Modulation for Infrared Small Target Detection.
WACV
Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
2021 A conf
Attentional Feature Fusion.
WACV
Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
2021 J jnl
Attentional Local Contrast Networks for Infrared Small Target Detection.
IEEE Trans. Geosci. Remote. Sens.
Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
2021 — conf
Modular Procedural Generation for Voxel Maps.
ToM for Teams
Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
2021 J jnl
Modular Procedural Generation for Voxel Maps.
CoRR
Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
2021 J jnl
Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG.
CoRR
Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta, Kobus Barnard, Ali Behrangi
2020 J jnl
Asymmetric Contextual Modulation for Infrared Small Target Detection.
CoRR
Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
2020 B conf
Attention as Activation.
ICPR
Yimian Dai, Stefan Oehmcke, Fabian Gieseke, Yiquan Wu, Kobus Barnard
2020 J jnl
Attention as Activation.
CoRR
Yimian Dai, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
2020 J jnl
Attentional Feature Fusion.
CoRR
Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard
2020 J jnl
Attentional Local Contrast Networks for Infrared Small Target Detection.
CoRR
Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard
2020 J jnl
Improving Visual Feature Extraction in Glacial Environments.
IEEE Robotics Autom. Lett.
Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard
2019 A* conf
A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks.
ICDE
Arun Zachariah, Praveen Rao, Anas Katib, Monica Senapati, Kobus Barnard
2019 — conf
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models.
NAACL-HLT (Demonstrations)
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
2019 J jnl
Fast Approximate Score Computation on Large-Scale Distributed Data for Learning Multinomial Bayesian Networks.
ACM Trans. Knowl. Discov. Data
Anas Katib, Praveen Rao, Kobus Barnard, Charles A. Kamhoua
2019 J jnl
Improving Visual Feature Extraction in Glacial Environments.
CoRR
Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard
2018 J jnl
A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images.
IEEE Trans. Geosci. Remote. Sens.
Rodrigo Savage, Leon F. Palafox, Clayton T. Morrison, Jeffrey J. Rodríguez, Kobus Barnard, Shane Byrne, Christopher W. Hamilton
2018 — conf
Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video.
ECCV (4)
Ernesto Brau, Jinyan Guan, Tanya Jeffries, Kobus Barnard
2017 — conf
Scalable Score Computation for Learning Multinomial Bayesian Networks over Distributed Data.
AAAI Workshops
Praveen Rao, Anas Katib, Kobus Barnard, Charles A. Kamhoua, Kevin A. Kwiat, Laurent Njilla
2016 — conf
Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees.
ECCV (8)
Kyle Simek, Ravishankar Palanivelu, Kobus Barnard
2016 J jnl
Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees.
CoRR
Kyle Simek, Ravishankar Palanivelu, Kobus Barnard
2016 — book
Computational Methods for Integrating Vision and Language
Kobus Barnard
2015 A* conf
Moderated and Drifting Linear Dynamical Systems.
ICML
Jinyan Guan, Kyle Simek, Ernesto Brau, Clayton T. Morrison, Emily Butler, Kobus Barnard
2013 A* conf
A Statistical Model for Recreational Trails in Aerial Images.
CVPR
Andrew Predoehl, Scott Morris, Kobus Barnard
2013 A* conf
Bayesian 3D Tracking from Monocular Video.
ICCV
Ernesto Brau, Jinyan Guan, Kyle Simek, Luca Del Pero, Colin R. Dawson, Kobus Barnard
2013 — conf
Learning a Policy for Gesture-Based Active Multi-touch Authentication.
HCI (27)
Raquel Torres Peralta, Antons Rebguns, Ian R. Fasel, Kobus Barnard
2013 C conf
MobiSLIC: Content-Aware Energy Saving for Educational Videos on Mobile Devices.
MobiQuitous
Qiyam Tung, Maximiliano Korp, Chris Gniady, Alon Efrat, Kobus Barnard
2013 — ch.
Top-Down Bayesian Inference of Indoor Scenes.
Advanced Topics in Computer Vision
Luca Del Pero, Kobus Barnard
2013 A* conf
Understanding Bayesian Rooms Using Composite 3D Object Models.
CVPR
Luca Del Pero, Joshua Bowdish, Bonnie Kermgard, Emily Hartley, Kobus Barnard
2012 A* conf
Bayesian geometric modeling of indoor scenes.
CVPR
Luca Del Pero, Joshua Bowdish, Daniel Fried, Bonnie Kermgard, Emily Hartley, Kobus Barnard
2012 A* conf
Client-side backprojection of presentation slides into educational video.
ACM Multimedia
Yekaterina Kharitonova, Qiyam Tung, Alexander Danehy, Alon Efrat, Kobus Barnard
2011 A* conf
A generative statistical model for tracking multiple smooth trajectories.
CVPR
Ernesto Brau, Damayanthi Dunatunga, Kobus Barnard, Tatsuya Tsukamoto, Ravi Palanivelu, Philip Lee
2011 A* conf
Expanding the point: automatic enlargement of presentation video elements.
ACM Multimedia
Qiyam Tung, Ranjini Swaminathan, Alon Efrat, Kobus Barnard
2011 A* conf
Fusing object detection and region appearance for image-text alignment.
ACM Multimedia
Luca Del Pero, Philip Lee, James Magahern, Emily Hartley, Kobus Barnard, Ping Wang, Atul Kanaujia, Niels Haering
2011 J jnl
Robust Spatiotemporal Matching of Electronic Slides to Presentation Videos.
IEEE Trans. Image Process.
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat
2011 A* conf
Sampling bedrooms.
CVPR
Luca Del Pero, Jinyan Guan, Ernesto Brau, Joseph Schlecht, Kobus Barnard
2010 J jnl
A fast connected components labeling algorithm and its application to real-time pupil detection.
Mach. Vis. Appl.
Prasad Gabbur, Hong Hua, Kobus Barnard
2010 B conf
Improving and Aligning Speech with Presentation Slides.
ICPR
Ranjini Swaminathan, Michael E. Thompson, Sandiway Fong, Alon Efrat, Arnon Amir, Kobus Barnard
2010 — conf
Region-based automatic web image selection.
Multimedia Information Retrieval
Keiji Yanai, Kobus Barnard
2009 A conf
Accurate alignment of presentation slides with educational video.
ICME
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat
2009 — conf
Learning models of object structure.
NIPS
Joseph Schlecht, Kobus Barnard
2008 J jnl
Evaluation of Localized Semantics: Data, Methodology, and Experiments.
Int. J. Comput. Vis.
Kobus Barnard, Quanfu Fan, Ranjini Swaminathan, Anthony Hoogs, Roderic Collins, Pascale Rondot, John P. Kaufhold
2008 A* conf
Finding trails.
CVPR
Scott Morris, Kobus Barnard
2008 J jnl
Machine-Learning Approaches for Classifying Haplogroup from Y Chromosome STR Data.
PLoS Comput. Biol.
Joseph Schlecht, Matthew E. Kaplan, Kobus Barnard, Tatiana Karafet, Michael F. Hammer, Nirav C. Merchant
2007 A* conf
Inferring Grammar-based Structure Models from 3D Microscopy Data.
CVPR
Joseph Schlecht, Kobus Barnard, Ekaterina H. Spriggs, Barry Pryor
2007 A* conf
Reducing correspondence ambiguity in loosely labeled training data.
CVPR
Kobus Barnard, Quanfu Fan
2007 — conf
Temporal Modeling of Slide Change in Presentation Videos.
ICASSP (1)
Quanfu Fan, Arnon Amir, Kobus Barnard, Ranjini Swaminathan, Alon Efrat
2006 J jnl
Building Models of Animals from Video.
IEEE Trans. Pattern Anal. Mach. Intell.
Deva Ramanan, David A. Forsyth, Kobus Barnard
2006 — conf
Cross Modal Disambiguation.
Toward Category-Level Object Recognition
Kobus Barnard, Keiji Yanai, Matthew Johnson, Prasad Gabbur
2006 A* conf
Finding visual concepts by web image mining.
WWW
Keiji Yanai, Kobus Barnard
2006 — conf
Matching slides to presentation videos using SIFT and scene background matching.
Multimedia Information Retrieval
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat, Ming Lin
2006 — conf
Statistical Inference of Biological Structure and Point Spread Functions in 3D Microscopy.
3DPVT
Joseph Schlecht, Kobus Barnard, Barry Pryor
2005 — conf
Detecting, Localizing and Recovering Kinematics of Textured Animals.
CVPR (2)
Deva Ramanan, David A. Forsyth, Kobus Barnard
2005 — conf
Evaluating Image Retrieval.
CVPR (1)
Nikhil V. Shirahatti, Kobus Barnard
2005 — conf
Evaluation strategies for image understanding and retrieval.
Multimedia Information Retrieval
Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, Kobus Barnard
2005 A* conf
Image region entropy: a measure of "visualness" of web images associated with one concept.
ACM Multimedia
Keiji Yanai, Kobus Barnard
2005 — conf
Probabilistic web image gathering.
Multimedia Information Retrieval
Keiji Yanai, Kobus Barnard
2005 J jnl
Relevance feedback using adaptive clustering for image similarity retrieval.
J. Syst. Softw.
Deok-Hwan Kim, Chin-Wan Chung, Kobus Barnard
2005 J jnl
Word sense disambiguation with pictures.
Artif. Intell.
Kobus Barnard, Matthew Johnson
2004 — conf
A Statistical Model for General Contextual Object Recognition.
ECCV (1)
Peter Carbonetto, Nando de Freitas, Kobus Barnard
2004 — conf
Digital trail libraries.
JCDL
Scott Morris, Alan Morris, Kobus Barnard
2003 — conf
Color and Color Constancy in a Translation Model for Object Recognition.
CIC
Kobus Barnard, Prasad Gabbur
2003 J jnl
Matching Words and Pictures.
J. Mach. Learn. Res.
Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando de Freitas, David M. Blei, Michael I. Jordan
2003 — conf
The Effects of Segmentation and Feature Choice in a Translation Model of Object Recognition.
CVPR (2)
Kobus Barnard, Pinar Duygulu, Raghavendra Guru, Prasad Gabbur, David A. Forsyth
2002 J jnl
A comparison of computational color constancy Algorithms. II. Experiments with image data.
IEEE Trans. Image Process.
Kobus Barnard, Lindsay Martin, Adam Coath, Brian V. Funt
2002 J jnl
A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data.
IEEE Trans. Image Process.
Kobus Barnard, Vlad C. Cardei, Brian V. Funt
2002 — conf
Modeling the statistics of image features and associated text.
Document Recognition and Retrieval
Kobus Barnard, Pinar Duygulu, David A. Forsyth
2002 — conf
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary.
ECCV (4)
Pinar Duygulu, Kobus Barnard, João F. G. de Freitas, David A. Forsyth
2001 — conf
Clustering Art.
CVPR (2)
Kobus Barnard, Pinar Duygulu, David A. Forsyth
2001 — conf
Exploiting image semantics for picture libraries.
JCDL
Kobus Barnard, David A. Forsyth
2001 A* conf
Learning the Semantics of Words and Pictures.
ICCV
Kobus Barnard, David A. Forsyth
2000 — conf
Colour by Correlation in a Three-Dimensional Colour Space.
ECCV (1)
Kobus Barnard, Lindsay Martin, Brian V. Funt
2000 — conf
Improvements to Gamut Mapping Colour Constancy Algorithms.
ECCV (1)
Kobus Barnard
2000 — conf
Shadow Identification using Colour Ratios.
CIC
Kobus Barnard, Graham D. Finlayson
1999 — conf
Camera calibration for color research.
Human Vision and Electronic Imaging
Kobus Barnard, Brian V. Funt
1999 — conf
Color Constancy with Fluorescent Surfaces.
CIC
Kobus Barnard
1999 — conf
Color Constancy with Specular and Non-Specular Surfaces.
CIC
Kobus Barnard, Brian V. Funt
1999 — conf
White Point Estimation for Uncalibrated Images.
CIC
Vlad C. Cardei, Brian V. Funt, Kobus Barnard
1998 — conf
Experiments in Sensor Sharpening for Color Constancy.
CIC
Kobus Barnard, Brian V. Funt
1998 — conf
Is Machine Colour Constancy Good Enough?
ECCV (1)
Brian V. Funt, Kobus Barnard, Lindsay Martin
1997 — conf
Analysis and Improvement of Multi-Scale Retinex.
CIC
Kobus Barnard, Brian V. Funt
1997 J jnl
Color Constancy for Scenes with Varying Illumination.
Comput. Vis. Image Underst.
Kobus Barnard, Graham D. Finlayson, Brian V. Funt
1997 — conf
High Resolution Image Reconstruction from Digital Video with In-Scene Motion.
ICIP (1)
Russell C. Hardie, Timothy R. Tuinstra, Kobus Barnard, John G. Bognar, Ernest E. Armstrong
1996 — conf
Colour Constancy for Scenes with Varying Illumination.
ECCV (2)
Kobus Barnard, Graham D. Finlayson, Brian V. Funt
1996 — conf
Learning Color Constancy.
CIC
Brian V. Funt, Vlad C. Cardei, Kobus Barnard
1995 A* conf
Color Constancy under Varying Illumination.
ICCV
Graham D. Finlayson, Brian V. Funt, Kobus Barnard