| Scene text recognition using similarity and a lexicon with sparse belief propagation JJ Weinman, E Learned-Miller, AR Hanson IEEE Transactions on pattern analysis and machine intelligence 31 (10), 1733 …, 2009 | 265 | 2009 |
| Toward Integrated Scene Text Reading J Weinman, Z Butler, D Knoll, J Feild IEEE Trans. on Pattern Anal. Mach. Intell, 2013 | 116 | 2013 |
| Sign detection in natural images with conditional random fields J Weinman, A Hanson, A McCallum Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine …, 2004 | 61 | 2004 |
| Automatic sign detection and recognition in natural scenes P Silapachote, J Weinman, A Hanson, MA Mattar, R Weiss Computer Vision and Pattern Recognition-Workshops, 2005. CVPR Workshops …, 2005 | 55 | 2005 |
| On learning conditional random fields for stereo: Exploring model structures and approximate inference CJ Pal, JJ Weinman, LC Tran, D Scharstein International Journal of Computer Vision 99 (3), 319-337, 2012 | 51 | 2012 |
| Deep neural networks for text detection and recognition in historical maps J Weinman, Z Chen, B Gafford, N Gifford, A Lamsal, L Niehus-Staab 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 42 | 2019 |
| A discriminative semi-Markov model for robust scene text recognition. JJ Weinman, EG Learned-Miller, AR Hanson ICPR, 1-5, 2008 | 36 | 2008 |
| Improving recognition of novel input with similarity JJ Weinman, E Learned-Miller 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 29 | 2006 |
| Typographical features for scene text recognition JJ Weinman 2010 20th International Conference on Pattern Recognition, 3987-3990, 2010 | 25 | 2010 |
| Toponym Recognition in Historical Maps by Gazetteer Alignment J Weinman | 24 | 2013 |
| Efficiently learning random fields for stereo vision with sparse message passing JJ Weinman, L Tran, CJ Pal European Conference on Computer Vision, 617-630, 2008 | 21 | 2008 |
| Fast lexicon-based scene text recognition with sparse belief propagation JJ Weinman, E Learned-Miller, A Hanson Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International …, 2007 | 21 | 2007 |
| Geographic and style models for historical map alignment and toponym recognition J Weinman 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 20 | 2017 |
| Large-scale machine learning JJ Weinman, A Lidaka, S Aggarwal GPU Gems Emerald Edition, Morgan Kaufman, 277-291, 2011 | 16 | 2011 |
| Building knowledge and confidence with mediascripting: a successful interdisciplinary approach to CS1 SA Rebelsky, J Davis, J Weinman Proceeding of the 44th ACM technical symposium on Computer science education …, 2013 | 14 | 2013 |
| Deformable Part Models for Automatically Georeferencing Historical Map Images NR Howe, J Weinman, J Gouwar, A Shamji Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019 | 13 | 2019 |
| Unified detection and recognition for reading text in scene images JJ Weinman University of Massachusetts Amherst, 2008 | 13 | 2008 |
| Nonlinear diffusion scale-space and fast marching level sets for segmentation of MR imagery and volume estimation of stroke lesions J Weinman, G Bissias, J Horowitz, E Riseman, A Hanson Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003: 6th …, 2003 | 11 | 2003 |
| Teaching Computing as Science in a Research Experience J Weinman, D Jensen, D Lopatto Proceedings of the 46th ACM Technical Symposium on Computer Science …, 2015 | 8 | 2015 |
| Techniques and applications for persistent backgrounding in a humanoid torso robot DW Duhon, JJ Weinman, E Learned-Miller Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007 | 5 | 2007 |
Erik Learned-MillerProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
