Josh Harguess

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	All	Since 2020
Citations	733	352
h-index	14	9
i10-index	17	9

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Chris M. WardCranium AIVerified email at ieee.org
J K AggarwalProfessor of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TXVerified email at utexas.edu
Phillip VerbancsicsGoogleVerified email at knights.ucf.edu
Changbo Huresearch scientist, ece, univeristy of texasVerified email at ieee.org
Keith ManvilleMITREVerified email at mitre.org
Mikel RodriguezDeepMindVerified email at deepmind.com
Brendan CrabbResident Physician in Diagnostic Radiology at UCSD | T32 Clinician Scientist FellowVerified email at hsc.utah.edu
Christopher Barngrover, Ph.D.Space and Naval Warfare Center PacificVerified email at ucsd.edu
Nancy RonquilloNaval Information Warfare CenterVerified email at us.navy.mil
Savanna SmithThe MITRE CorporationVerified email at mitre.org
K. PalaniappanProfessor of Electrical Engineering & Computer Science, University of Missouri-ColumbiaVerified email at missouri.edu
Alexander G CorelliCV/ML Research & EngineeringVerified email at jacobs.ucsd.edu
Keith SullivanNaval Research LaboratoryVerified email at nrl.navy.mil
John M. IrvineMITREVerified email at mitre.org
Brian OkornResearch Roboticist, Boston Dynamics AI InstituteVerified email at theaiinstitute.com
Julian RaheemaUniversity Of California, San DiegoVerified email at ucsd.edu
Jacoby LarsonEngineer at AppleVerified email at apple.com
Jennifer E. MillerNYU School of MedicineVerified email at nyumc.org
Guna Seetharaman, FIEEEChief Scientist for Computational Science, US Naval Research LaboratoryVerified email at ieee.org
Shalini De MelloDirector of Research & Distinguished Research Scientist - Nvidia ResearchVerified email at nvidia.com

Josh Harguess

Cranium AI

Verified email at utexas.edu

AI & Machine Learning Security Computer Vision Pattern Recognition Machine Learning


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A case for the average-half-face in 2D and 3D for face recognition J Harguess, JK Aggarwal 2009 IEEE Computer Society Conference on Computer Vision and Pattern …, 2009	77	2009
Image classification using generative neuro evolution for deep learning P Verbancsics, J Harguess 2015 IEEE winter conference on applications of computer vision, 488-493, 2015	71	2015
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN) CM Ward, J Harguess, B Crabb, S Parameswaran Applications of Digital Image Processing XL 10396, 19-30, 2017	62	2017
Generative neuroevolution for deep learning P Verbancsics, J Harguess arXiv preprint arXiv:1312.5355, 2013	55	2013
Ship classification from overhead imagery using synthetic data and domain adaptation CM Ward, J Harguess, C Hilton OCEANS 2018 MTS/IEEE Charleston, 1-5, 2018	45	2018
Is there a connection between face symmetry and face recognition? J Harguess, JK Aggarwal CVPR 2011 WORKSHOPS, 66-73, 2011	40	2011
Vessel classification in overhead satellite imagery using learned dictionaries K Rainey, S Parameswaran, J Harguess, J Stastny Applications of Digital Image Processing XXXV 8499, 741-752, 2012	35	2012
Fusing face recognition from multiple cameras J Harguess, C Hu, JK Aggarwal 2009 Workshop on Applications of Computer Vision (WACV), 1-7, 2009	30	2009
Patch-based face recognition from video C Hu, J Harguess, JK Aggarwal 2009 16th IEEE International Conference on Image Processing (ICIP), 3321-3324, 2009	29	2009
3D face recognition with the average-half-face J Harguess, S Gupta, JK Aggarwal 2008 19th International Conference on Pattern Recognition, 1-4, 2008	28	2008
Semantic labeling of track events using time series segmentation and shape analysis J Harguess, JK Aggarwal 2009 16th IEEE International Conference on Image Processing (ICIP), 4317-4320, 2009	27	2009
Occlusion robust multi-camera face tracking J Harguess, C Hu, JK Aggarwal CVPR 2011 WORKSHOPS, 31-38, 2011	16	2011
Infrared stereo calibration for unmanned ground vehicle navigation J Harguess, S Strange Unmanned Systems Technology XVI 9084, 276-283, 2014	15	2014
Evaluation schemes for video and image anomaly detection algorithms S Parameswaran, J Harguess, C Barngrover, S Shafer, M Reese Automatic Target Recognition XXVI 9844, 98-109, 2016	14	2016
Sparsity-driven Laplacian-regularized outlier identification for dictionary learning PA Forero, S Shafer, JD Harguess IEEE Transactions on Signal Processing 65 (14), 3803-3817, 2017	13	2017
Are face recognition methods useful for classifying ships? J Harguess, K Rainey 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2011	13	2011
Classification of maritime vessels using capsule networks C Hilton, S Parameswaran, M Dotter, CM Ward, J Harguess Geospatial Informatics IX 10992, 87-93, 2019	10	2019
Full-motion recovery from multiple video cameras applied to face tracking and recognition J Harguess, C Hu, JK Aggarwal 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011	9	2011
Is the next winter coming for AI? Elements of making secure and robust AI J Harguess, CM Ward 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2022	8	2022
The vulnerability of UAVs: An adversarial machine learning perspective M Doyle, J Harguess, K Manville, M Rodriguez Geospatial Informatics XI 11733, 81-92, 2021	8	2021

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