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2020 – today
- 2024
[j18]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: 108922 (2024)- [c63]Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy, Emily Butler, Kobus Barnard:
Probabilistic Modeling of Interpersonal Coordination Processes. ICML 2024 - 2023
- [c62]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 - [i9]Paulo Soares, Adarsh Pyarelal, Kobus Barnard:
Probabilistic Modeling of Human Teams to Infer False Beliefs. CoRR abs/2310.12929 (2023) - 2022
- [j17]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: 1-21 (2022) - [j16]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: 1-9 (2022) - 2021
- [j15]Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard:
Attentional Local Contrast Networks for Infrared Small Target Detection. IEEE Trans. Geosci. Remote. Sens. 59(11): 9813-9824 (2021) - [c61]Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard:
Modular Procedural Generation for Voxel Maps. ToM for Teams 2021: 85-101 - [c60]Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard:
Asymmetric Contextual Modulation for Infrared Small Target Detection. WACV 2021: 949-958 - [c59]Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard:
Attentional Feature Fusion. WACV 2021: 3559-3568 - [i8]Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard:
Modular Procedural Generation for Voxel Maps. CoRR abs/2104.08890 (2021) - [i7]Mohammad Reza Ehsani, Ariyan Zarei, Hoshin V. Gupta, Kobus Barnard, Ali Behrangi:
Nowcasting-Nets: Deep Neural Network Structures for Precipitation Nowcasting Using IMERG. CoRR abs/2108.06868 (2021) - 2020
- [j14]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): 385-390 (2020) - [c58]Yimian Dai, Stefan Oehmcke, Fabian Gieseke, Yiquan Wu, Kobus Barnard:
Attention as Activation. ICPR 2020: 9156-9163 - [i6]Yimian Dai, Stefan Oehmcke, Yiquan Wu, Kobus Barnard:
Attention as Activation. CoRR abs/2007.07729 (2020) - [i5]Yimian Dai, Fabian Gieseke, Stefan Oehmcke, Yiquan Wu, Kobus Barnard:
Attentional Feature Fusion. CoRR abs/2009.14082 (2020) - [i4]Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard:
Asymmetric Contextual Modulation for Infrared Small Target Detection. CoRR abs/2009.14530 (2020) - [i3]Yimian Dai, Yiquan Wu, Fei Zhou, Kobus Barnard:
Attentional Local Contrast Networks for Infrared Small Target Detection. CoRR abs/2012.08573 (2020)
2010 – 2019
- 2019
- [j13]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): 14:1-14:40 (2019) - [c57]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: 1968-1971 - [c56]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: 42-47 - [i2]Steven D. Morad, Jeremy Nash, Shoya Higa, Russell Smith, Aaron Parness, Kobus Barnard:
Improving Visual Feature Extraction in Glacial Environments. CoRR abs/1908.10425 (2019) - 2018
- [j12]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): 5802-5812 (2018) - [c55]Ernesto Brau, Jinyan Guan, Tanya Jeffries, Kobus Barnard:
Multiple-Gaze Geometry: Inferring Novel 3D Locations from Gazes Observed in Monocular Video. ECCV (4) 2018: 641-659 - 2017
- [c54]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 - 2016
- [b1]Kobus Barnard:
Computational Methods for Integrating Vision and Language. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2016, ISBN 978-3-031-00686-9, pp. 1-227 - [c53]Kyle Simek, Ravishankar Palanivelu, Kobus Barnard:
Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees. ECCV (8) 2016: 177-193 - [i1]Kyle Simek, Ravishankar Palanivelu, Kobus Barnard:
Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees. CoRR abs/1608.04045 (2016) - 2015
- [c52]Jinyan Guan, Kyle Simek, Ernesto Brau, Clayton T. Morrison, Emily Butler, Kobus Barnard:
Moderated and Drifting Linear Dynamical Systems. ICML 2015: 2473-2482 - 2013
- [c51]Luca Del Pero, Joshua Bowdish, Bonnie Kermgard, Emily Hartley, Kobus Barnard:
Understanding Bayesian Rooms Using Composite 3D Object Models. CVPR 2013: 153-160 - [c50]Andrew Predoehl, Scott Morris, Kobus Barnard:
A Statistical Model for Recreational Trails in Aerial Images. CVPR 2013: 337-344 - [c49]Raquel Torres Peralta, Antons Rebguns, Ian R. Fasel, Kobus Barnard:
Learning a Policy for Gesture-Based Active Multi-touch Authentication. HCI (27) 2013: 59-68 - [c48]Ernesto Brau, Jinyan Guan, Kyle Simek, Luca Del Pero, Colin R. Dawson, Kobus Barnard:
Bayesian 3D Tracking from Monocular Video. ICCV 2013: 3368-3375 - [c47]Qiyam Tung, Maximiliano Korp, Chris Gniady, Alon Efrat, Kobus Barnard:
MobiSLIC: Content-Aware Energy Saving for Educational Videos on Mobile Devices. MobiQuitous 2013: 396-408 - [p1]Luca Del Pero, Kobus Barnard:
Top-Down Bayesian Inference of Indoor Scenes. Advanced Topics in Computer Vision 2013: 277-311 - 2012
- [c46]Luca Del Pero, Joshua Bowdish, Daniel Fried, Bonnie Kermgard, Emily Hartley, Kobus Barnard:
Bayesian geometric modeling of indoor scenes. CVPR 2012: 2719-2726 - [c45]Yekaterina Kharitonova, Qiyam Tung, Alexander Danehy, Alon Efrat, Kobus Barnard:
Client-side backprojection of presentation slides into educational video. ACM Multimedia 2012: 1005-1008 - 2011
- [j11]Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat:
Robust Spatiotemporal Matching of Electronic Slides to Presentation Videos. IEEE Trans. Image Process. 20(8): 2315-2328 (2011) - [c44]Ernesto Brau, Damayanthi Dunatunga, Kobus Barnard, Tatsuya Tsukamoto, Ravi Palanivelu, Philip Lee:
A generative statistical model for tracking multiple smooth trajectories. CVPR 2011: 1137-1144 - [c43]Luca Del Pero, Jinyan Guan, Ernesto Brau, Joseph Schlecht, Kobus Barnard:
Sampling bedrooms. CVPR 2011: 2009-2016 - [c42]Qiyam Tung, Ranjini Swaminathan, Alon Efrat, Kobus Barnard:
Expanding the point: automatic enlargement of presentation video elements. ACM Multimedia 2011: 961-964 - [c41]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: 1113-1116 - 2010
- [j10]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): 779-787 (2010) - [c40]Ranjini Swaminathan, Michael E. Thompson, Sandiway Fong, Alon Efrat, Arnon Amir, Kobus Barnard:
Improving and Aligning Speech with Presentation Slides. ICPR 2010: 3280-3283 - [c39]Keiji Yanai, Kobus Barnard:
Region-based automatic web image selection. Multimedia Information Retrieval 2010: 305-312
2000 – 2009
- 2009
- [c38]Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat:
Accurate alignment of presentation slides with educational video. ICME 2009: 1198-1201 - [c37]Joseph Schlecht, Kobus Barnard:
Learning models of object structure. NIPS 2009: 1615-1623 - 2008
- [j9]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): 199-217 (2008) - [j8]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) - [c36]Scott Morris, Kobus Barnard:
Finding trails. CVPR 2008 - 2007
- [c35]Kobus Barnard, Quanfu Fan:
Reducing correspondence ambiguity in loosely labeled training data. CVPR 2007 - [c34]Joseph Schlecht, Kobus Barnard, Ekaterina H. Spriggs, Barry Pryor:
Inferring Grammar-based Structure Models from 3D Microscopy Data. CVPR 2007 - [c33]Quanfu Fan, Arnon Amir, Kobus Barnard, Ranjini Swaminathan, Alon Efrat:
Temporal Modeling of Slide Change in Presentation Videos. ICASSP (1) 2007: 989-992 - 2006
- [j7]Deva Ramanan, David A. Forsyth, Kobus Barnard:
Building Models of Animals from Video. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1319-1334 (2006) - [c32]Joseph Schlecht, Kobus Barnard, Barry Pryor:
Statistical Inference of Biological Structure and Point Spread Functions in 3D Microscopy. 3DPVT 2006: 373-380 - [c31]Kobus Barnard, Keiji Yanai, Matthew Johnson, Prasad Gabbur:
Cross Modal Disambiguation. Toward Category-Level Object Recognition 2006: 238-257 - [c30]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: 239-248 - [c29]Keiji Yanai, Kobus Barnard:
Finding visual concepts by web image mining. WWW 2006: 923-924 - 2005
- [j6]Kobus Barnard, Matthew Johnson:
Word sense disambiguation with pictures. Artif. Intell. 167(1-2): 13-30 (2005) - [j5]Deok-Hwan Kim, Chin-Wan Chung, Kobus Barnard:
Relevance feedback using adaptive clustering for image similarity retrieval. J. Syst. Softw. 78(1): 9-23 (2005) - [c28]Deva Ramanan, David A. Forsyth, Kobus Barnard:
Detecting, Localizing and Recovering Kinematics of Textured Animals. CVPR (2) 2005: 635-642 - [c27]Nikhil V. Shirahatti, Kobus Barnard:
Evaluating Image Retrieval. CVPR (1) 2005: 955-961 - [c26]Keiji Yanai, Kobus Barnard:
Probabilistic web image gathering. Multimedia Information Retrieval 2005: 57-64 - [c25]Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, Kobus Barnard:
Evaluation strategies for image understanding and retrieval. Multimedia Information Retrieval 2005: 217-226 - [c24]Keiji Yanai, Kobus Barnard:
Image region entropy: a measure of "visualness" of web images associated with one concept. ACM Multimedia 2005: 419-422 - 2004
- [c23]Peter Carbonetto, Nando de Freitas, Kobus Barnard:
A Statistical Model for General Contextual Object Recognition. ECCV (1) 2004: 350-362 - [c22]Scott Morris, Alan Morris, Kobus Barnard:
Digital trail libraries. JCDL 2004: 63-71 - 2003
- [j4]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: 1107-1135 (2003) - [c21]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: 675-684 - [c20]Kobus Barnard, Prasad Gabbur:
Color and Color Constancy in a Translation Model for Object Recognition. CIC 2003: 364-369 - 2002
- [j3]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): 972-984 (2002) - [j2]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): 985-996 (2002) - [c19]Kobus Barnard, Pinar Duygulu, David A. Forsyth:
Modeling the statistics of image features and associated text. Document Recognition and Retrieval 2002: 1-11 - [c18]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: 97-112 - 2001
- [c17]Kobus Barnard, Pinar Duygulu, David A. Forsyth:
Clustering Art. CVPR (2) 2001: 434-441 - [c16]Kobus Barnard, David A. Forsyth:
Learning the Semantics of Words and Pictures. ICCV 2001: 408-415 - [c15]Kobus Barnard, David A. Forsyth:
Exploiting image semantics for picture libraries. JCDL 2001: 469 - 2000
- [c14]Kobus Barnard, Lindsay Martin, Brian V. Funt:
Colour by Correlation in a Three-Dimensional Colour Space. ECCV (1) 2000: 375-389 - [c13]Kobus Barnard:
Improvements to Gamut Mapping Colour Constancy Algorithms. ECCV (1) 2000: 390-403 - [c12]Kobus Barnard, Graham D. Finlayson:
Shadow Identification using Colour Ratios. CIC 2000: 97-101
1990 – 1999
- 1999
- [c11]Kobus Barnard, Brian V. Funt:
Camera calibration for color research. Human Vision and Electronic Imaging 1999: 576-585 - [c10]Vlad C. Cardei, Brian V. Funt, Kobus Barnard:
White Point Estimation for Uncalibrated Images. CIC 1999: 97-100 - [c9]Kobus Barnard, Brian V. Funt:
Color Constancy with Specular and Non-Specular Surfaces. CIC 1999: 114-119 - [c8]Kobus Barnard:
Color Constancy with Fluorescent Surfaces. CIC 1999: 257-261 - 1998
- [c7]Brian V. Funt, Kobus Barnard, Lindsay Martin:
Is Machine Colour Constancy Good Enough? ECCV (1) 1998: 445-459 - [c6]Kobus Barnard, Brian V. Funt:
Experiments in Sensor Sharpening for Color Constancy. CIC 1998: 43-46 - 1997
- [j1]Kobus Barnard, Graham D. Finlayson, Brian V. Funt:
Color Constancy for Scenes with Varying Illumination. Comput. Vis. Image Underst. 65(2): 311-321 (1997) - [c5]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: 153-156 - [c4]Kobus Barnard, Brian V. Funt:
Analysis and Improvement of Multi-Scale Retinex. CIC 1997: 221-226 - 1996
- [c3]Kobus Barnard, Graham D. Finlayson, Brian V. Funt:
Colour Constancy for Scenes with Varying Illumination. ECCV (2) 1996: 3-15 - [c2]Brian V. Funt, Vlad C. Cardei, Kobus Barnard:
Learning Color Constancy. CIC 1996: 58-60 - 1995
- [c1]Graham D. Finlayson, Brian V. Funt, Kobus Barnard:
Color Constancy under Varying Illumination. ICCV 1995: 720-725
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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