| 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 | 76 | 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 | 73 | 2015 |
| Generative neuroevolution for deep learning P Verbancsics, J Harguess arXiv preprint arXiv:1312.5355, 2013 | 54 | 2013 |
| 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 | 45 | 2017 |
| Is there a connection between face symmetry and face recognition? J Harguess, JK Aggarwal CVPR 2011 WORKSHOPS, 66-73, 2011 | 40 | 2011 |
| 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 | 36 | 2018 |
| 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 | 28 | 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 | 27 | 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 | 24 | 2009 |
| Occlusion robust multi-camera face tracking J Harguess, C Hu, JK Aggarwal CVPR 2011 WORKSHOPS, 31-38, 2011 | 17 | 2011 |
| Infrared stereo calibration for unmanned ground vehicle navigation J Harguess, S Strange Unmanned Systems Technology XVI 9084, 276-283, 2014 | 14 | 2014 |
| Are face recognition methods useful for classifying ships? J Harguess, K Rainey 2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2011 | 14 | 2011 |
| 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 | 11 | 2017 |
| 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 |
| 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 | 9 | 2016 |
| 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 |
| Into the wild: a study in rendered synthetic data and domain adaptation methods M Dotter, C Mediavilla, J Sato, CM Ward, S Parameswaran, J Harguess Geospatial Informatics IX 10992, 76-86, 2019 | 8 | 2019 |
| Maritime vessel recognition in degraded satellite imagery K Rainey, S Parameswaran, J Harguess Automatic Target Recognition XXIV 9090, 26-31, 2014 | 8 | 2014 |
Chris M. WardCranium AIVahvistettu sähköpostiosoite verkkotunnuksessa ieee.org
