- [Rp] Reproducing
Typographical Features for Scene Text Recognition ReScience C, 6(1), 2020. [PDF] [doi] [bib]
- Toward Integrated Scene Text Reading with Z. Butler, D. Knoll, and J. Feild. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 36(2), Feb. 2014. [PDF] [bib] [doi]
- On Learning Conditional Random Fields for Stereo: Exploring Model Structures and Approximate Inference with C. Pal†, L. Tran, and D. Scharstein. International Journal of Computer Vision (IJCV) 99(3). Sept. 2012. [PDF] [bib] [doi] The original publication is available at www.springerlink.com
- Scene Text Recognition using Similarity and a Lexicon with Sparse Belief Propagation with E. Learned-Miller and A. Hanson. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 31(10). Oct. 2009. [PDF] [bib] [doi]
- Counting the Corner Cases: Revisiting Robust Reading Challenge Data Sets, Evaluation Protocols, and Metrics with A. Gómez Grabowska and D. Karatzas. In 18th International Conference on Document Analysis and Recognition (ICDAR). August 2024. [PDF] [bib] [code]
- Descriptive Attributes for Language-based Object Keypoint Detection with S. Belongie and S. Frank. In 14th International Conference on Computer Vision Systems (ICVS). September 2023. [PDF] [bib] [doi]
- Improved Point Transformation Methods For Self-Supervised Depth Prediction with Z. Chen‡ and Z. Guo‡. In 18th Conference on Robots and Vision (CRV). May 2021. [PDF] [bib] [doi]
- Deformable Part Models for Automatically Georeferencing Historical Map Images with N. Howe, J. Gouwar‡, and A. Shamji‡. In ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), Nov. 2019. 🏆 Best Poster Award. [paper] [poster] [bib] [doi]
- Deep Neural Networks for Text Detection and Recognition in Historical Maps with Z. Chen‡, B. Gafford‡, N. Gifford‡, A. Lamsal‡, L. Niehus-Staab‡. In International Conference on Document Analysis and Recognition (ICDAR), Sep. 2019. [PDF] [bib] [doi]
- Geographic and Style Models for Historical Map Alignment and Toponym Recognition. In International Conference on Document Analysis and Recognition (ICDAR), Nov. 2017. 🏆 Best Paper Award. [PDF] [bib] [doi]
- Teaching Computing as Science in a Research Experience with D. Jensen and D. Lopatto. ACM technical symposium on Computer science education (SIGCSE), Mar. 2015. [PDF] [bib] [doi]
- Toponym Recognition in Historical Maps by Gazetteer Alignment IAPR Intl. Conf. on Document Analysis and Recognition (ICDAR) Aug. 2013. [PDF] [bib]
- Building knowledge and confidence with mediascripting: a successful interdisciplinary approach to CS1 with S. Rebelsky† and J. Davis. ACM technical symposium on Computer science education (SIGCSE) Mar. 2013. [PDF] [bib] [doi]
- Typographical Features for Scene Text Recognition Intl. Conference on Pattern Recognition (ICPR) Aug. 2010. [PDF] [bib] [doi]
- A Discriminative Semi-Markov Model for Robust Scene Text Recognition with E. Learned-Miller and A. Hanson. Intl. Conference on Pattern Recognition (ICPR) Dec. 2008. [PDF] [bib] [doi]
- Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing with L. Tran‡ and C. Pal. European Conference on Computer Vision (ECCV) Oct. 2008. [PDF] [bib] [doi] The original publication is available at www.springerlink.com
- Fast Lexicon-Based Scene Text Recognition with Sparse Belief Propagation, with E. Learned-Miller and A. Hanson. Intl. Conference on Document Analysis and Recognition (ICDAR) Sept. 2007. [PDF] [bib] [doi]
- Techniques and Applications for Persistent Backgrounding in a Humanoid Torso Robot, with D. W. Duhon† and E. Learned-Miller. IEEE Intl. Conference on Robotics and Automation (ICRA), April 2007 [PDF] [bib] [doi].
- Improving Recognition of Novel Input with Similarity, with E. Learned-Miller. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) June 2006. [PDF] [bib] [doi]
- Nonlinear diffusion scale-space and fast marching level sets for segmentation of MR imagery and volume estimation of stroke lesions, with G. Bissias, E. Riseman, A. Hanson, and J. Horowitz. In Sixth Annual International Conference Medical Image Computing and Computer Assisted Intervention (MICCAI), Nov 2003. [PS.gz] [PDF] [bib] [doi]
Refereed Workshops
- PIPS: An Instruction Set Architecture for Teaching Computer Organization, with C. Curtsinger. WCAE '21: Workshop on Computer Architecture Education June 2021. [PDF] [bib] [doi]
- A Discriminative Semi-Markov Model for Robust Scene Text Recognition, with E. Learned-Miller and A. Hanson. New England Student Colloquium on Artificial Intelligence May 2008. [PDF] [bib]
- Automatic Sign Detection and Recognition in Natural Scenes, with P. Silapachote†, A. Hanson, R. Weiss, and M.A. Mattar. IEEE Workshop on Computer Vision Applications for the Visually Impaired June 2005. [PDF] [bib] [doi]
- Sign Detection in Natural Images with Conditional Random Fields, with A. Hanson and A. McCallum. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp. 549-558. Sept. 2004 [PS.gz] [PDF] [bib] [doi]
Refereed Book Chapters
- Large-Scale Machine Learning, with Augustus Lidaka‡ and Shitanshu Aggarwal.‡ In Wen-mei W. Hwu (Editor) GPU Gems Emerald Edition, Jan. 2011. (Morgan-Kaufmann) [PDF] [bib] [doi]
Ph.D. Thesis
- Unified Detection and Recognition for Reading Text in Scene Images Ph.D. Thesis, University of Massachusetts Amherst, May 2008. [PDF] [bib]
Technical Reports
- Georeferenced Control Points for Historical Maps with A. Shamji‡, and J. Gouwar‡. Technical Report, Grinnell College, Grinnell, IA 50112, Dec. 2019. [PDF] [bib]
- Details of Deformable Part Models for Automatically Georeferencing Historical Map Images. with N. Howe, J. Gouwar‡, and A. Shamji‡, Technical Report, Smith College, Northampton, MA, November 2019. [PDF] [bib]
- Historical Map Annotations for Text Detection and Recognition. with A. Ray†, Z. Chen‡, B. Gafford‡, N. Gifford‡, J. Jai Kumar, A. Lamsal‡, L. Niehus-Staab‡, and E. Learned-Miller. Technical Report, Grinnell College, Grinnell, IA 50112, October 2018. [PDF] [bib]
- A Dataset of Annotated Historical Maps. with R. Chande‡, and D. Gumm‡. Technical Report, Grinnell College, Grinnell, IA 50112, May 2013. [PDF] [bib]
- Sparse Message Passing and Efficiently Learning Random Fields for Stereo Vision Technical Report UM-CS-2007-054, University of Massachusetts-Amherst, Amherst, MA 01003-4601, Oct. 2007. [PDF] [bib]
- Joint Feature Selection for Object Detection and Recognition Technical Report UM-CS-2006-054, University of Massachusetts-Amherst, Amherst, MA 01003-4601, Oct. 2006. [PDF] [bib]
- Data-Dependent Spatial Context for Computer Vision with Conditional Markov Fields Technical Report UM-CS-2005-052 / Master's Project Report, University of Massachusetts-Amherst, Amherst, MA 01003-4601, Sept. 2005. [PDF] [bib]
- Confidence-based segmentation of MR imagery using region and boundary information with nonlinear scale-space and fast marching level sets, with G. Bissias, E. Riseman, A. Hanson, and J. Horowitz. Technical Report UM-CS-2003-017, University of Massachusetts-Amherst, Amherst, MA 01003-4601, April 2003. [PS.gz] [PDF] [bib]
Talks
- An Alternative to Modeling Appearance: Modeling Relative Appearance, with E. Learned-Miller. NIPS Interclass Transfer Workshop: Why Learning to Recognize Many Objects Might be Easier Than Learning to Recognize Just One, 10 December 2005. [PDF]
- Segmentation and Volume Estimation of Ischemic Stroke Lesions in MR Images, with G. Bissias. Annual Conference of the UMass/Baystate Collaborative Biomedical Research Program, 20 May 2002.
† First author
‡ Student co-author
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