David S. Doermann
Affiliations: | Electrical Engineering | University of Maryland, College Park, College Park, MD |
Area:
Computer Science, Information TechnologyGoogle:
"David Doermann"Children
Sign in to add traineeSungmin Eum | grad student | University of Maryland (Neurotree) | |
Yefeng Zheng | grad student | 2001-2005 | University of Maryland |
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Publications
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Davila K, Setlur S, Doermann D, et al. (2020) Chart Mining: A Survey of Methods for Automated Chart Analysis. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Liu C, Ding W, Hu Y, et al. (2020) Circulant Binary Convolutional Networks for Object Recognition Ieee Journal of Selected Topics in Signal Processing. 14: 884-893 |
Bhowmik S, Sarkar R, Das B, et al. (2018) GiB: a Game theory Inspired Binarization technique for degraded document images. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |
Bhowmik S, Sarkar R, Nasipuri M, et al. (2018) Text and non-text separation in offline document images: a survey International Journal On Document Analysis and Recognition. 21: 1-20 |
Eum S, Doermann DS. (2017) Planar content selection in images and videos using frontalness Pattern Recognition Letters. 124: 55-62 |
Xu J, Ye P, Li Q, et al. (2016) Blind Image Quality Assessment based on High Order Statistics Aggregation. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society |
Ye Q, Doermann D. (2015) Text Detection and Recognition in Imagery: A Survey. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1480-500 |
Singh PK, Sarkar R, Nasipuri M, et al. (2015) Word-level script identification for handwritten Indic scripts Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2015: 1106-1110 |
Jain R, Doermann D. (2015) Localized document image change detection Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2015: 786-790 |
Gao H, Rusinol M, Karatzas D, et al. (2015) Novel line verification for multiple instance focused retrieval in document collections Proceedings of the International Conference On Document Analysis and Recognition, Icdar. 2015: 481-485 |