David Doermann

PhD

David Doermann.

David Doermann

PhD

David Doermann

PhD

SUNY Empire Innovation Professor
Professor
Interim Department Chair

Research Topics

Document image understanding; video analysis; pattern recognition; computer vision; media forensics; artificial intelligence

Biography Publications Teaching Research Students Latest News

Publications

BibBase doermann, d
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  2020 (1)
Circulant Binary Convolutional Networks for Object Recognition. Liu, C.; Ding, W.; Hu, Y.; Xia, X.; Zhang, B.; Liu, J.; and Doermann, D. IEEE Journal of Selected Topics in Signal Processing. 2020.
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  2019 (9)
Planar Content Selection in Images and Videos Using Frontalness. Eum, S.; and Doermann, D. Pattern Recognition Letters, 124: 55–62. 2019.
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Exploiting Kernel Sparsity and Entropy for Interpretable Cnn Compression. Li, Y.; Lin, S.; Zhang, B.; Liu, J.; Doermann, D.; Wu, Y.; Huang, F.; and Ji, R. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2800–2809, 2019.
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Crowd Counting and Density Estimation by Trellis Encoder-decoder Networks. Jiang, X.; Xiao, Z.; Zhang, B.; Zhen, X.; Cao, X.; Doermann, D.; and Shao, L. In IEEE Conference on Computer Vision and Pattern Recognition, pages 6133–6142, 2019.
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Projection Convolutional Neural Networks for 1-bit Cnns Via Discrete Back Propagation. Gu, J.; Li, C.; Zhang, B.; Han, J.; Cao, X.; Liu, J.; and Doermann, D. In AAAI Conference on Artificial Intelligence, volume 33, pages 8344–8351, 2019.
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Towards Optimal Structured Cnn Pruning Via Generative Adversarial Learning. Lin, S.; Ji, R.; Yan, C.; Zhang, B.; Cao, L.; Ye, Q.; Huang, F.; and Doermann, D. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2790–2799, 2019.
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Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit Dcnns with Circulant Back Propagation. Liu, C.; Ding, W.; Xia, X.; Zhang, B.; Gu, J.; Liu, J.; Ji, R.; and Doermann, D. In IEEE Conference on Computer Vision and Pattern Recognition, pages 2691–2699, 2019.
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Learning Instance Activation Maps for Weakly Supervised Instance Segmentation. Zhu, Y.; Zhou, Y.; Xu, H.; Ye, Q.; Doermann, D.; and Jiao, J. In IEEE Conference on Computer Vision and Pattern Recognition, pages 3116–3125, 2019.
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Calibrated Stochastic Gradient Descent for Convolutional Neural Networks. Zhang, B.; Chen, C.; Ye, Q.; Liu, J.; Doermann, D.; and others In AAAI Conference on Artificial Intelligence, volume 33, pages 9348–9355, 2019.
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Binarized Neural Architecture Search. Chen, H.; Zhuo, L.; Zhang, B.; Zheng, X.; Liu, J.; Doermann, D.; and Ji, R. Arxiv Preprint Arxiv:1911.10862. 2019.
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  2018 (3)
Application of Structural and Topological Features to Recognize Online Handwritten Bangla Characters. Sen, S.; Bhattacharyya, A.; Singh, P. K.; Sarkar, R.; Roy, K.; and Doermann, D. ACM Transactions on Asian and Low-resource Language Information Processing (tallip), 17(3): 1–16. 2018.
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Text and Non-text Separation in Offline Document Images: A Survey. Bhowmik, S.; Sarkar, R.; Nasipuri, M.; and Doermann, D. International Journal on Document Analysis and Recognition (IJDAR), 21(1-2): 1–20. 2018.
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Gib: A G Ame Theory I Nspired B Inarization Technique for Degraded Document Images. Bhowmik, S.; Sarkar, R.; Das, B.; and Doermann, D. IEEE Transactions on Image Processing, 28(3): 1443–1455. 2018.
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  2017 (1)
Iod-cnn: Integrating Object Detection Networks for Event Recognition. Eum, S.; Lee, H.; Kwon, H.; and Doermann, D. In 2017 IEEE International Conference on Image Processing (icip), pages 875–879, 2017. IEEE
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  2016 (3)
Blind Image Quality Assessment Based on High Order Statistics Aggregation. Xu, J.; Ye, P.; Li, Q.; Du, H.; Liu, Y.; and Doermann, D. IEEE Transactions on Image Processing, 25(9): 4444–4457. 2016.
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No-reference Document Image Quality Assessment Based on High Order Image Statistics. Xu, J.; Ye, P.; Li, Q.; Liu, Y.; and Doermann, D. In 2016 IEEE International Conference on Image Processing (icip), pages 3289–3293, 2016. IEEE
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Content Selection Using Frontalness Evaluation of Multiple Frames. Eum, S.; and Doermann, D. In 2016 23ʳᵈ International Conference on Pattern Recognition (ICPR), pages 3404–3409, 2016. IEEE
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  2015 (9)
Machine-assisted Authentication of Paper Currency: An Experiment on Indian Banknotes. Roy, A.; Halder, B.; Garain, U.; and Doermann, D. S. International Journal on Document Analysis and Recognition (IJDAR), 18(3): 271–285. 2015.
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Shoe: Supervised Hashing with Output Embeddings. Bondugula, S.; Manjunatha, V.; Davis, L. S.; and Doermann, D. Arxiv Preprint Arxiv:1502.00030. 2015.
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A Graphical Model Approach for Matching Partial Signatures. Du, X.; Doermann, D.; and Abd-Almageed, W. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1465–1472, 2015.
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Novel Line Verification for Multiple Instance Focused Retrieval in Document Collections. Gao, H.; Rusiñol, M.; Karatzas, D.; Lladós, J.; Jain, R.; and Doermann, D. In 2015 13ᵗʰ International Conference on Document Analysis and Recognition (icdar), pages 481–485, 2015. IEEE
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Jh2r: Joint Homography Estimation for Highlight Removal. Eum, S.; Lee, H.; and Doermann, D. S. In Bmvc, pages 49–1, 2015.
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Shoe: Sibling Hashing with Output Embeddings. Bondugula, S.; Manjunatha, V.; Davis, L. S.; and Doermann, D. In The 23ʳᵈ ACM International Conference on Multimedia, pages 823–826, 2015.
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Localized Document Image Change Detection. Jain, R.; and Doermann, D. In 2015 13ᵗʰ International Conference on Document Analysis and Recognition (icdar), pages 786–790, 2015. IEEE
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Word-level Script Identification for Handwritten Indic Scripts. Singh, P. K.; Sarkar, R.; Nasipuri, M.; and Doermann, D. In 2015 13ᵗʰ International Conference on Document Analysis and Recognition (icdar), pages 1106–1110, 2015. IEEE
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Simultaneous Estimation of Image Quality and Distortion Via Multi-task Convolutional Neural Networks. Kang, L.; Ye, P.; Li, Y.; and Doermann, D. In 2015 IEEE International Conference on Image Processing (icip), pages 2791–2795, 2015. IEEE
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  2014 (21)
Correcting Errors in Digital Lexicographic Resources Using a Dictionary Manipulation Language. Zajic, D.; Maxwell, M.; Doermann, D.; Rodrigues, P.; and Bloodgood, M. Arxiv Preprint Arxiv:1410.7787. 2014.
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Detecting Structural Irregularity in Electronic Dictionaries Using Language Modeling. Rodrigues, P.; Zajic, D.; Doermann, D.; Bloodgood, M.; and Ye, P. Arxiv Preprint Arxiv:1410.8149. 2014.
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Structural Similarity for Document Image Classification and Retrieval. Kumar, J.; Ye, P.; and Doermann, D. Pattern Recognition Letters, 43: 119–126. 2014.
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Scalable Ranked Retrieval Using Document Images. Jain, R.; Oard, D. W.; and Doermann, D. In Document Recognition and Retrieval Xxi, volume 9021, pages 90210K, 2014. International Society for Optics and Photonics
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Active Sampling for Subjective Image Quality Assessment. Ye, P.; and Doermann, D. In IEEE Conference on Computer Vision and Pattern Recognition, pages 4249–4256, 2014.
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Convolutional Neural Networks for No-reference Image Quality Assessment. Kang, L.; Ye, P.; Li, Y.; and Doermann, D. In IEEE Conference on Computer Vision and Pattern Recognition, pages 1733–1740, 2014.
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Beyond Human Opinion Scores: Blind Image Quality Assessment Based on Synthetic Scores. Ye, P.; Kumar, J.; and Doermann, D. In IEEE Conference on Computer Vision and Pattern Recognition, pages 4241–4248, 2014.
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Handbook of Document Image Processing and Recognition. Doermann, D.; Tombre, K.; and others Springer New York Incorporated, 2014.
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Convolutional Neural Networks for Document Image Classification. Kang, L.; Kumar, J.; Ye, P.; Li, Y.; and Doermann, D. In 2014 22ⁿᵈ International Conference on Pattern Recognition, pages 3168–3172, 2014. IEEE
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No-reference Video Quality Assessment Via Feature Learning. Xu, J.; Ye, P.; Liu, Y.; and Doermann, D. In 2014 IEEE International Conference on Image Processing (icip), pages 491–495, 2014. IEEE
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A Deep Learning Approach to Document Image Quality Assessment. Kang, L.; Ye, P.; Li, Y.; and Doermann, D. In 2014 IEEE International Conference on Image Processing (icip), pages 2570–2574, 2014. IEEE
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Sharpness-aware Document Image Mosaicing Using Graphcuts. Eum, S.; and Doermann, D. In 2014 IEEE International Conference on Image Processing (icip), pages 2575–2579, 2014. IEEE
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Orientation Robust Text Line Detection in Natural Images. Kang, L.; Li, Y.; and Doermann, D. In IEEE Conference on Computer Vision and Pattern Recognition, pages 4034–4041, 2014.
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Combining Local Features for Offline Writer Identification. Jain, R.; and Doermann, D. In 2014 14ᵗʰ International Conference on Frontiers in Handwriting Recognition, pages 583–588, 2014. IEEE
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Text Detection and Recognition in Imagery: A Survey. Ye, Q.; and Doermann, D. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(7): 1480–1500. 2014.
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Depth Structure Association for Rgb-d Multi-target Tracking. Gao, S.; Han, Z.; Doermann, D.; and Jiao, J. In 2014 22ⁿᵈ International Conference on Pattern Recognition, pages 4152–4157, 2014. IEEE
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A Belief Based Correlated Topic Model for Trajectory Clustering in Crowded Video Scenes. Zou, J.; Ye, Q.; Cui, Y.; Doermann, D.; and Jiao, J. In 2014 22ⁿᵈ International Conference on Pattern Recognition, pages 2543–2548, 2014. IEEE
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Robust Scene Text Detection Using Integrated Feature Discrimination. Ye, Q.; and Doermann, D. S. In 2014 IEEE International Conference on Image Processing (icip), pages 1678–1682, 2014. IEEE
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Signature Matching Using Supervised Topic Models. Du, X.; Doermann, D.; and Abd-Almageed, W. In 2014 22ⁿᵈ International Conference on Pattern Recognition, pages 327–332, 2014. IEEE
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Handbook of Document 1-20 Image Processing and Recognition. Doermann, D. Handbook of Document Image Processing and Recognition, 1. 2014.
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Image Based Retrieval and Keyword Spotting in Documents. Tan, C. L.; Zhang, X.; Li, L.; and Doermann, D. 2014.
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  2013 (15)
Maryland at Fire 2011: Retrieval of Ocr\textquoterightd Bengali. Garain, U.; Doermann, D. S.; and Oard, D. W. In Multilingual Information Access in South Asian Languages, pages 205–213. Springer, Berlin, Heidelberg, 2013.
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Overview of the Fire 2011 Risot Task. Garain, U.; Paik, J. H.; Pal, T.; Majumder, P.; Doermann, D. S.; and Oard, D. W. In Multilingual Information Access in South Asian Languages, pages 197–204. Springer, Berlin, Heidelberg, 2013.
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Real-time No-reference Image Quality Assessment Based on Filter Learning. Ye, P.; Kumar, J.; Kang, L.; and Doermann, D. In IEEE Conference on Computer Vision and Pattern Recognition, pages 987–994, 2013.
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Combining Preference and Absolute Judgements in a Crowd-sourced Setting. Ye, P.; and Doermann, D. In ICML Workshop, 2013.
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Toponym Recognition in Historical Maps by Gazetteer Alignment. Weinman, J. In 2013 12ᵗʰ International Conference on Document Analysis and Recognition, pages 1044–1048, 2013. IEEE
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Scene Text Detection Via Integrated Discrimination of Component Appearance and Consensus. Ye, Q.; and Doermann, D. In International Workshop on Camera-based Document Analysis and Recognition, pages 47–59, 2013. Springer, Cham
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Large-scale Signature Matching Using Multi-stage Hashing. Du, X.; Abdalmageed, W.; and Doermann, D. In 2013 12ᵗʰ International Conference on Document Analysis and Recognition, pages 976–980, 2013. IEEE
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Document Image Quality Assessment: A Brief Survey. Ye, P.; and Doermann, D. In 2013 12ᵗʰ International Conference on Document Analysis and Recognition, pages 723–727, 2013. IEEE
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Diqa: Document Image Quality Assesment Datasets. Kumar, J.; Ye, P.; and Doermann, D. Language and Media Processing Laboratory. 2013.
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A Dataset for Quality Assessment of Camera Captured Document Images. Kumar, J.; Ye, P.; and Doermann, D. In International Workshop on Camera-based Document Analysis and Recognition, pages 113–125, 2013. Springer, Cham
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Visualdiff: Document Image Verification and Change Detection. Jain, R.; and Doermann, D. In 2013 12ᵗʰ International Conference on Document Analysis and Recognition, pages 40–44, 2013. IEEE
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Writer Identification Using an Alphabet of Contour Gradient Descriptors. Jain, R.; and Doermann, D. In 2013 12ᵗʰ International Conference on Document Analysis and Recognition, pages 550–554, 2013. IEEE
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Unsupervised Classification of Structurally Similar Document Images. Kumar, J.; and Doermann, D. In 2013 12ᵗʰ International Conference on Document Analysis and Recognition, pages 1225–1229, 2013. IEEE
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Clutter Noise Removal in Binary Document Images. Agrawal, M.; and Doermann, D. International Journal on Document Analysis and Recognition (IJDAR), 16(4): 351–369. 2013.
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Content-based Access to Multimedia Information: From Technology Trends to State of the Art. Perry, B.; Chang, S.; Dinsmore, J.; Doermann, D.; Rosenfeld, A.; and Stevens, S. Springer Science & Business Media, 2013.
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  2012 (11)
No-reference Image Quality Assessment Using Visual Codebooks. Ye, P.; and Doermann, D. IEEE Transactions on Image Processing, 21(7): 3129–3138. 2012.
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Unsupervised Feature Learning Framework for No-reference Image Quality Assessment. Ye, P.; Kumar, J.; Kang, L.; and Doermann, D. In 2012 IEEE Conference on Computer Vision and Pattern Recognition, pages 1098–1105, 2012. IEEE
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Logo Retrieval in Document Images. Jain, R.; and Doermann, D. In 2012 10ᵗʰ IAPR International Workshop on Document Analysis Systems, pages 135–139, 2012. IEEE
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Linguistic Resources for Handwriting Recognition and Translation Evaluation. Song, Z.; Ismael, S.; Grimes, S.; Doermann, D. S.; and Strassel, S. M. In LREC, pages 3951–3955, 2012.
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Local Segmentation of Touching Characters Using Contour Based Shape Decomposition. Kang, L.; Doermann, D.; Cao, H.; Prasad, R.; and Natarajan, P. In 2012 10ᵗʰ IAPR International Workshop on Document Analysis Systems, pages 460–464, 2012. IEEE
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Learning Features for Predicting Ocr Accuracy. Ye, P.; and Doermann, D. In The 21ˢᵗ International Conference on Pattern Recognition (ICPR2012), pages 3204–3207, 2012. IEEE
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A Random Forest System Combination Approach for Error Detection in Digital Dictionaries. Bloodgood, M.; Ye, P.; Rodrigues, P.; Zajic, D.; and Doermann, D. In Workshop on Innovative Hybrid Approaches to the Processing of Textual Data, pages 78–86, 2012. Association for Computational Linguistics
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Sharpness Estimation for Document and Scene Images. Kumar, J.; Chen, F.; and Doermann, D. In The 21ˢᵗ International Conference on Pattern Recognition (ICPR2012), pages 3292–3295, 2012. IEEE
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Learning Text-line Segmentation Using Codebooks and Graph Partitioning. Kang, L.; Kumar, J.; Ye, P.; and Doermann, D. In 2012 International Conference on Frontiers in Handwriting Recognition, pages 63–68, 2012. IEEE
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Learning Document Structure for Retrieval and Classification. Kumar, J.; Ye, P.; and Doermann, D. In The 21ˢᵗ International Conference on Pattern Recognition (ICPR2012), pages 1558–1561, 2012. IEEE
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Leveraging Statistical Transliteration for Dictionary-based English-bengali Clir of Ocr \textquoteleftd Text. Garain, U.; Das, A.; Doermann, D.; and Oard, D. W. In Coling 2012: Posters, pages 339–348, 2012.
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  2011 (12)
Cross-language Entity Linking in Maryland during a Hurricane. McNamee, P.; Mayfield, J.; Stoyanov, V.; Oard, D. W.; Xu, T.; Ke, W.; and Doermann, D. S. In Tac, 2011.
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Cross-language Entity Linking. McNamee, P.; Mayfield, J.; Lawrie, D.; Oard, D. W.; and Doermann, D. In 5ᵗʰ International Joint Conference on Natural Language Processing, pages 255–263, 2011.
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Offline Writer Identification Using K-adjacent Segments. Jain, R.; and Doermann, D. In 2011 International Conference on Document Analysis and Recognition, pages 769–773, 2011. IEEE
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Segmentation of Handwritten Textlines in Presence of Touching Components. Kumar, J.; Kang, L.; Doermann, D.; and Abd-Almageed, W. In 2011 International Conference on Document Analysis and Recognition, pages 109–113, 2011. IEEE
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No-reference Image Quality Assessment Based on Visual Codebook. Ye, P.; and Doermann, D. In 2011 18ᵗʰ IEEE International Conference on Image Processing, pages 3089–3092, 2011. IEEE
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Shape Codebook Based Handwritten and Machine Printed Text Zone Extraction. Kumar, J.; Prasad, R.; Cao, H.; Abd-Almageed, W.; Doermann, D.; and Natarajan, P. In Document Recognition and Retrieval Xviii, volume 7874, pages 787406, 2011. International Society for Optics and Photonics
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Document Image Classification and Labeling Using Multiple Instance Learning. Kumar, J.; Pillai, J.; and Doermann, D. In 2011 International Conference on Document Analysis and Recognition, pages 1059–1063, 2011. IEEE
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Stroke-like Pattern Noise Removal in Binary Document Images. Agrawal, M.; and Doermann, D. In 2011 International Conference on Document Analysis and Recognition, pages 17–21, 2011. IEEE
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Fast Rule-line Removal Using Integral Images and Support Vector Machines. Kumar, J.; and Doermann, D. In 2011 International Conference on Document Analysis and Recognition, pages 584–588, 2011. IEEE
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Template Based Segmentation of Touching Components in Handwritten Text Lines. Kang, L.; and Doermann, D. In 2011 International Conference on Document Analysis and Recognition, pages 569–573, 2011. IEEE
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Dataset: Handwritten Arabic Textline Segmentation and Proximity Datasets. Kumar, J.; Le Kang, W. A.; and Doermann, D. Laboratory for Language and Media Processing. 2011.
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Dataset: Rule-line Removal in Handwritten Arabic Document Images. Kumar, J.; Abd-Almageed, W.; and Doermann, D. Laboratory for Language and Media Processing. 2011.
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  2010 (8)
Handwritten Arabic Text Line Segmentation Using Affinity Propagation. Kumar, J.; Abd-Almageed, W.; Kang, L.; and Doermann, D. In The 9ᵗʰ IAPR International Workshop on Document Analysis Systems, pages 135–142, 2010.
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Gedi-a Groundtruthing Environment for Document Images. Doermann, D.; Zotkina, E.; and Li, H. In Ninth IAPR International Workshop on Document Analysis Systems (das 2010), 2010.
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Handwritten Arabic Text Zone Detection Using a Shape Codebook. Kumar, J.; Abd-Almageed, W.; Kang, L.; and Doermann, D. In ICPR, 2010.
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Performance Evaluation Tools for Zone Segmentation and Classification (pets). Seo, W.; Agrawal, M.; and Doermann, D. In 2010 20ᵗʰ International Conference on Pattern Recognition, pages 503–506, 2010. IEEE
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Context-aware and Content-based Dynamic Voronoi Page Segmentation. Agrawal, M.; and Doermann, D. In The 9ᵗʰ IAPR International Workshop on Document Analysis Systems, pages 73–80, 2010.
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The Evolution of Document Authentication. Doermann, D. In 2010 12ᵗʰ International Conference on Frontiers in Handwriting Recognition, pages 3–3, 2010. IEEE
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Community Genetics. Its Definition 2010. Leo, P.; Al-Gazali, L.; Anand, S.; Bittles, A.; Cassiman, J.; Christianson, A.; Cornel, M. C.; Hamamy, H.; Kääriäinen, H.; Kristoffersson, U.; and others Journal of Community Genetics, 1(1): 19–22. 2010.
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Mobile Multimedia Processing: Fundamentals, Methods, and Applications. Jiang, X.; Ma, M. Y.; and Chen, C. W. Volume 5960 Springer, 2010.
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  2009 (8)
Logo Matching for Document Image Retrieval. Zhu, G.; and Doermann, D. In 2009 10ᵗʰ International Conference on Document Analysis and Recognition, pages 606–610, 2009. IEEE
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Voronoi++: A Dynamic Page Segmentation Approach Based on Voronoi and Docstrum Features. Agrawal, M.; and Doermann, D. In 10ᵗʰ International Conference on Document Analysis and Recognition, pages 1011–1015, 2009. IEEE
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Clutter Noise Removal in Binary Document Images. Agrawal, M.; and Doermann, D. In 2009 10ᵗʰ International Conference on Document Analysis and Recognition, pages 556–560, 2009. IEEE
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Page Rule-line Removal Using Linear Subspaces in Monochromatic Handwritten Arabic Documents. Abd-Almageed, W.; Kumar, J.; and Doermann, D. In 2009 10ᵗʰ International Conference on Document Analysis and Recognition, pages 768–772, 2009. IEEE
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Language Identification for Handwritten Document Images Using a Shape Codebook. Zhu, G.; Yu, X.; Li, Y.; and Doermann, D. Pattern Recognition, 42(12): 3184–3191. 2009.
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Mosaicing of Camera-captured Document Images. Liang, J.; DeMenthon, D.; and Doermann, D. Computer Vision and Image Understanding, 113(4): 572–579. 2009.
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Generalization of Hindi Ocr Using Adaptive Segmentation and Font Files. Agrawal, M.; Ma, H.; and Doermann, D. In Guide to Ocr for Indic Scripts, pages 181–207. Springer, London, 2009.
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Action Recognition Based on Human Movement Characteristics. Dondera, R.; Doermann, D.; and Davis, L. In 2009 Workshop on Motion and Video Computing (wmvc), pages 1–8, 2009. IEEE
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  2008 (20)
Script-independent Text Line Segmentation in Freestyle Handwritten Documents. Li, Y.; Zheng, Y.; Doermann, D.; and Jaeger, S. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(8): 1313–1329. 2008.
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Geometric Rectification of Camera-captured Document Images. Liang, J.; DeMenthon, D.; and Doermann, D. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(4): 591–605. 2008.
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Signature Detection and Matching for Document Image Retrieval. Zhu, G.; Zheng, Y.; Doermann, D.; and Jaeger, S. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(11): 2015–2031. 2008.
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Mobile Retriever: Access to Digital Documents from Their Physical Source. Liu, X.; and Doermann, D. International Journal of Document Analysis and Recognition (IJDAR), 11(1): 19–27. 2008.
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Review of Classifier Combination Methods. Tulyakov, S.; Jaeger, S.; Govindaraju, V.; and Doermann, D. In Machine Learning in Document Analysis and Recognition, pages 361–386. Springer, Berlin, Heidelberg, 2008.
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Vcode—pervasive Data Transfer Using Video Barcode. Liu, X.; Doermann, D.; and Li, H. IEEE Transactions on Multimedia, 10(3): 361–371. 2008.
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Re-targetable Ocr with Intelligent Character Segmentation. Agrawal, M.; and Doermann, D. S. In Document Analysis Systems, pages 183–190, 2008.
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Unconstrained Language Identification Using a Shape Codebook. Zhu, G.; Yu, X.; Li, Y.; and Doermann, D. In The 11ᵗʰ International Conference on Frontiers in Handwritting Recognition (icfhr 2008), pages 13–18, 2008.
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Signature-based Document Image Retrieval. Zhu, G.; Zheng, Y.; and Doermann, D. In European Conference on Computer Vision, pages 752–765, 2008. Springer, Berlin, Heidelberg
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Support Vector Data Description for Image Categorization from Internet Images. Yu, X.; DeMenthon, D.; and Doermann, D. In 2008 19ᵗʰ International Conference on Pattern Recognition, pages 1–4, 2008. IEEE
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Document-zone Classification Using Partial Least Squares and Hybrid Classifiers. Abd-Almageed, W.; Agrawal, M.; Seo, W.; and Doermann, D. In 2008 19ᵗʰ International Conference on Pattern Recognition, pages 1–4, 2008. IEEE
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Offline Loop Investigation for Handwriting Analysis. Steinherz, T.; Doermann, D.; Rivlin, E.; and Intrator, N. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(2): 193–209. 2008.
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A Camera-based Mobile Data Channel: Capacity and Analysis. Liu, X.; Doermann, D.; and Li, H. In The 16ᵗʰ ACM International Conference on Multimedia, pages 359–368, 2008.
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A Novel 2d Marker Design and Application for Object Tracking and Event Detection. Liu, X.; Doermann, D.; Li, H.; Lee, K. C.; Ozdemir, H.; and Liu, L. In International Symposium on Visual Computing, pages 248–257, 2008. Springer, Berlin, Heidelberg
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Learning Visual Shape Lexicon for Document Image Content Recognition. Zhu, G.; Yu, X.; Li, Y.; and Doermann, D. In European Conference on Computer Vision, pages 745–758, 2008. Springer, Berlin, Heidelberg
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Mobile Visual Aid Tools for Users with Visual Impairments. Liu, X.; Doermann, D.; and Li, H. In Workshop of Mobile Multmedia Processing, pages 21–36, 2008. Springer, Berlin, Heidelberg
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Combining Classifiers with Informational Confidence. Jaeger, S.; Ma, H.; and Doermann, D. In Machine Learning in Document Analysis and Recognition, pages 163–191. Springer, Berlin, Heidelberg, 2008.
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Arabic and Chinese Handwriting Recognition: Summit, Sach 2006, College Park, Md, Usa, September 27-28, 2006, Selected Papers. Doermann, D.; and Jaeger, S. Springer, 2008.
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Camera Phone Based Tools for the Visually Impaired. Liu, X.; and Li, D. H. In 1ˢᵗ Int\textquoterightl Workshop on Mobile Multimedia Processing, 2008.
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Arabic and Chinese Handwriting Recognition: Sach 2006 Summit College Park, Md, Usa, September 27-28, 2006 Selected Papers. Cheriet, M.; Doermann, D.; and Jaeger, S. . 2008.
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  2007 (13)
Hierarchical Part-template Matching for Human Detection and Segmentation. Lin, Z.; Davis, L. S.; Doermann, D.; and DeMenthon, D. In 2007 IEEE 11ᵗʰ International Conference on Computer Vision, pages 1–8, 2007. IEEE
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Automatic Document Logo Detection. Zhu, G.; and Doermann, D. In Ninth International Conference on Document Analysis and Recognition (icdar 2007), volume 2, pages 864–868, 2007. IEEE
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Object Detection Using Shape Codebook. Yu, X.; Yi, L.; Fermüller, C.; and Doermann, D. S. In Bmvc, pages 1–10, 2007.
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An Interactive Approach to Pose-assisted and Appearance-based Segmentation of Humans. Lin, Z.; Davis, L. S.; Doermann, D.; and DeMenthon, D. In 2007 IEEE 11ᵗʰ International Conference on Computer Vision, pages 1–8, 2007. IEEE
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Learning Higher-order Transition Models in Medium-scale Camera Networks. Farrell, R.; Doermann, D.; and Davis, L. S. In 2007 IEEE 11ᵗʰ International Conference on Computer Vision, pages 1–8, 2007. IEEE
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Document Image Mosaicing with Mobile Phones. Hannuksela, J.; Sangi, P.; Heikkila, J.; Liu, X.; and Doermann, D. In 14ᵗʰ International Conference on Image Analysis and Processing (iciap 2007), pages 575–582, 2007. IEEE
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Mobile Retriever-finding Document with a Snapshot. Liu, X.; and Doermann, D. In International Workshop on Camera-based Document Analysis and Recognition, pages 29–34, 2007.
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Multi-scale Structural Saliency for Signature Detection. Zhu, G.; Zheng, Y.; Doermann, D.; and Jaeger, S. In 2007 IEEE Conference on Computer Vision and Pattern Recognition, pages 1–8, 2007. IEEE
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Simultaneous Appearance Modeling and Segmentation for Matching People under Occlusion. Lin, Z.; Davis, L. S.; Doermann, D.; and DeMenthon, D. In Asian Conference on Computer Vision, pages 404–413, 2007. Springer, Berlin, Heidelberg
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Document Recognition and Retrieval Xiv. Lin, X.; and Yanikoglu, B. A. In Document Recognition and Retrieval Xiv, volume 6500, 2007.
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Poster Session 5: Matching and Registration-simultaneous Appearance Modeling and Segmentation for Matching People under Occlusion. Lin, Z.; Davis, L. S.; Doermann, D.; and DeMenthon, D. Lecture Notes in Computer Science, 4844: 404–413. 2007.
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Network-diffused Media Scaling for Multimedia. Kia, O. E.; Sauvola, J. J.; and Doermann, D. S. In Interactive Distributed Multimedia Systems and Telecommunication Services: 6ᵗʰ International Workshop, Idms'99, Toulouse, France, October 12-15, 1999, Proceedings, pages 149, 2007. Springer Science & Business Media
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Daniel Dementhon H. Lin, Z.; Davis, L. S.; and Doermann, D. In Hierarchical Part-template Matching for Human Detection and Segmentation, IEEE 11ᵗʰ International Conference on Computer Vision, 2007.
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  2006 (12)
Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures. Zheng, Y.; and Doermann, D. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(4): 643–649. 2006.
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Detecting Text Lines in Handwritten Documents. Li, Y.; Zheng, Y.; and Doermann, D. In 18ᵗʰ International Conference on Pattern Recognition (ICPR'06), volume 2, pages 1030–1033, 2006. IEEE
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Camera-based Document Image Mosaicing. Liang, J.; DeMenthon, D.; and Doermann, D. In 18ᵗʰ International Conference on Pattern Recognition (ICPR'06), volume 2, pages 476–479, 2006. IEEE
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A Robust Stamp Detection Framework on Degraded Documents. Zhu, G.; Jaeger, S.; and Doermann, D. In Document Recognition and Retrieval Xiii, volume 6067, pages 60670B, 2006. International Society for Optics and Photonics
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Video Retrieval of Near-duplicates Using Κ-nearest Neighbor Retrieval of Spatio-temporal Descriptors. DeMenthon, D.; and Doermann, D. Multimedia Tools and Applications, 30(3): 229–253. 2006.
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Imaging As an Alternative Data Channel for Camera Phones. Liu, X.; Doermann, D.; and Li, H. In The 5ᵗʰ International Conference on Mobile and Ubiquitous Multimedia, pages 5-es, 2006.
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Morphology Induction from Limited Noisy Data Using Approximate String Matching. Karagol-Ayan, B.; Doermann, D.; and Weinberg, A. In The Eighth Meeting of the ACL Special Interest Group on Computational Phonology and Morphology, pages 60–68, 2006. Association for Computational Linguistics
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Document Image Retrieval Based on Layout Structural Similarity. Shin, C. K.; and Doermann, D. S. In Ipcv, pages 606–612, 2006.
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Adaptive Transformation-based Learning for Improving Dictionary Tagging. Karagol-Ayan, B.; Doermann, D.; and Weinberg, A. In 11ᵗʰ Conference of the European Chapter of the Association for Computational Linguistics, 2006.
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Document Page Image Classification Based on Similarity of Visual Appearance. Shin, C.; and Doermann, D. In International Conference on Signal and Image Processing, Honolulu, Hawaii, Usa, Aug, pages 14–16, 2006.
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Document Recognition and Retrieval Xiii(18-19 January 2006, San Jose, California, Usa). Taghva, K.; and Lin, X. In SPIE, the International Society for Optical Engineering, 2006. SPIE
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Doclib: A Software Library for Document Processing. Jaeger, S.; Zhu, G.; Doermann, D.; Chen, K.; and Sampat, S. In Document Recognition and Retrieval Xiii, volume 6067, pages 606709, 2006. International Society for Optics and Photonics
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  2005 (17)
Camera-based Analysis of Text and Documents: A Survey. Liang, J.; Doermann, D.; and Li, H. International Journal of Document Analysis and Recognition (IJDAR), 7(2-3): 84–104. 2005.
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Flattening Curved Documents in Images. Liang, J.; DeMenthon, D.; and Doermann, D. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (cvpr'05), volume 2, pages 338–345, 2005. IEEE
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Identifying Script on Word-level with Informational Confidence. Jaeger, S.; Ma, H.; and Doermann, D. In Eighth International Conference on Document Analysis and Recognition (icdar'05), pages 416–420, 2005. IEEE
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A Parallel-line Detection Algorithm Based on Hmm Decoding. Zheng, Y.; Li, H.; and Doermann, D. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(5): 777–792. 2005.
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Handwriting Matching and Its Application to Handwriting Synthesis. Zheng, Y.; and Doermann, D. In Eighth International Conference on Document Analysis and Recognition (icdar'05), pages 861–865, 2005. IEEE
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Selection of Classifiers for the Construction of Multiple Classifier Systems. Kang, H.; and Doermann, D. In Eighth International Conference on Document Analysis and Recognition (icdar'05), pages 1194–1198, 2005. IEEE
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Robust Point Matching for Two-dimensional Nonrigid Shapes. Zheng, Y.; and Doermann, D. In Tenth IEEE International Conference on Computer Vision (iccv'05) Volume 1, volume 2, pages 1561–1566, 2005. IEEE
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Fast Camera Motion Estimation for Hand-held Devices and Applications. Liu, X.; Doermann, D.; and Li, H. In The 4ᵗʰ International Conference on Mobile and Ubiquitous Multimedia, pages 103–108, 2005.
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Model of Object-based Coding for Surveillance Video. Yu, Y.; and Doermann, D. In Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., volume 2, pages ii-693, 2005. IEEE
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Adaptive Ocr with Limited User Feedback. Ma, H.; and Doermann, D. In Eighth International Conference on Document Analysis and Recognition (icdar'05), pages 814–818, 2005. IEEE
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Unwarping Images of Curved Documents Using Global Shape Optimization. Liang, J.; DeMenthon, D.; and Doermann, D. In International Workshop on Camerabased Document Analysis and Recognition, pages 25–29, 2005.
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Document Ranking by Layout Relevance. Huang, M.; DeMenthon, D.; Doermann, D.; Golebiowski, L.; and Hamilton, B. A. In Eighth International Conference on Document Analysis and Recognition (icdar'05), pages 362–366, 2005. IEEE
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Doclib: A Document Processing Research Tool. Chen, K.; Jaeger, S.; Zhu, G.; and Doermann, D. In Symposium on Document Image Understanding Technology, pages 159–163, 2005.
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Font Identification Using the Grating Cell Texture Operator. Ma, H.; and Doermann, D. S. In Document Recognition and Retrieval Xii, volume 5676, pages 148–156, 2005. International Society for Optics and Photonics
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Video Retrieval of Near-duplicates Using K-nearest Neighbor Retrieval of Spatiotemporal Descriptors. DeMenthon, D.; and Doermann, D. Multimedia Tools Applicat. 2005.
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Multimedia Applications: Beyond Similarity Searches. Smith, J.; Doermann, D.; Gupta, A.; Goldstein, J.; Shaft, U.; and Ratha, N. In The 2ⁿᵈ International Workshop on Computer Vision Meets Databases, pages 71–72, 2005.
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Using Computer Vision to Detect Web Browser Display Errors. Liu, X.; and Doermann, D. In 3ʳᵈ Web Document Analysis Workshop (on ICDAR 2005, pages 5–9, 2005. Citeseer
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  2004 (10)
Machine Printed Text and Handwriting Identification in Noisy Document Images. Zheng, Y.; Li, H.; and Doermann, D. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(3): 337–353. 2004.
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Automatic Recognition of Spontaneous Speech for Access to Multilingual Oral History Archives. Byrne, W.; Doermann, D.; Franz, M.; Gustman, S.; Hajic, J.; Oard, D.; Picheny, M.; Psutka, J.; Ramabhadran, B.; Soergel, D.; and others IEEE Transactions on Speech and Audio Processing, 12(4): 420–435. 2004.
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Representation and Recognition of Events in Surveillance Video Using Petri Nets. Ghanem, N.; DeMenthon, D.; Doermann, D.; and Davis, L. In 2004 Conference on Computer Vision and Pattern Recognition Workshop, pages 112–112, 2004. IEEE
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Building an Information Retrieval Test Collection for Spontaneous Conversational Speech. Oard, D. W.; Soergel, D.; Doermann, D.; Huang, X.; Murray, G. C.; Wang, J.; Ramabhadran, B.; Franz, M.; Gustman, S.; Mayfield, J.; and others In The 27ᵗʰ Annual International ACM Sigir Conference on Research and Development in Information Retrieval, pages 41–48, 2004.
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An Appearance-based Approach for Consistent Labeling of Humans and Objects in Video. Balcells, M.; DeMenthon, D.; and Doermann, D. Pattern Analysis and Applications, 7(4): 373–385. 2004.
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Document Image Ground Truth Generation from Electronic Text. Zi, G.; and Doermann, D. In The 17ᵗʰ International Conference on Pattern Recognition, 2004. ICPR 2004., volume 2, pages 663–666, 2004. IEEE
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Shot Boundary Detection Using Pixel-to-neighbor Image Differences in Video. Luo, M.; DeMenthon, D.; and Doermann, D. In TRECvid 2004 Workshop Notebook Papers, 2004.
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Tdt-2004: Adaptive Topic Tracking at Maryland. Elsayed, T.; Oard, D. W.; Doermann, D.; and Kuhn, G. In Topic Detection and Tracking Workshop, 2004.
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Adaptive Word Style Classification Using a Gaussian Mixture Model. Ma, H.; and Doermann, D. In 17ᵗʰ International Conference on Pattern Recognition (ICPR), volume 2, pages 606–609, 2004. IEEE
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Product Approximation by Minimizing the Upper Bound of Bayes Error Rate for Bayesian Combination of Classifiers. Kang, H.; and Doermann, D. In The 17ᵗʰ International Conference on Pattern Recognition, 2004. ICPR 2004., volume 1, pages 252–255, 2004. IEEE
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  2003 (26)
Progress in Camera-based Document Image Analysis. Doermann, D.; Liang, J.; and Li, H. In Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pages 606–616, 2003. IEEE
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Video Retrieval Using Spatio-temporal Descriptors. DeMenthon, D.; and Doermann, D. In The Eleventh ACM International Conference on Multimedia, pages 508–517, 2003.
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Sports Video Classification Using Hmms. Gibert, X.; Li, H.; and Doermann, D. In 2003 International Conference on Multimedia and Expo. Icme'03. Proceedings (cat. No. 03th8698), volume 2, pages II-345, 2003. IEEE
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Gabor Filter Based Multi-class Classifier for Scanned Document Images. Ma, H.; and Doermann, D. S. In ICDAR, volume 3, pages 968, 2003.
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Adaptive Hindi Ocr Using Generalized Hausdorff Image Comparison. Ma, H.; and Doermann, D. ACM Transactions on Asian Language Information Processing (TALIP), 2(3): 193–218. 2003.
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Video Mining. Rosenfeld, A.; Doermann, D. S.; and DeMenthon, D. Springer Science & Business Media, 2003.
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An Appearance Based Approach for Human and Object Tracking. Capellades, M. B.; Doermann, D.; DeMenthon, D.; and Chellappa, R. In Proceedings 2003 International Conference on Image Processing (cat. No. 03ch37429), volume 2, pages II-85, 2003. IEEE
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Text Identification in Noisy Document Images Using Markov Random Model. Zheng, Y.; Li, H.; and Doermann, D. In Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pages 599–603, 2003. IEEE
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Bootstrapping Structured Page Segmentation. Ma, H.; and Doermann, D. S. In Document Recognition and Retrieval X, volume 5010, pages 179–188, 2003. International Society for Optics and Photonics
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Desparately Seeking Cebuano. Oard, D. W.; Doermann, D.; Dorr, B.; He, D.; Resnik, P.; Weinberg, A.; Byrne, W.; Khudanpur, S.; Yarowsky, D.; Leuski, A.; and others In Companion Volume of the Hlt-naacl 2003-short Papers, pages 76–78, 2003.
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Word Level Script Identification for Scanned Document Images. Ma, H.; and Doermann, D. In Document Recognition and Retrieval Xi, volume 5296, pages 124–135, 2003. International Society for Optics and Photonics
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A Model-based Line Detection Algorithm in Documents. Zheng, Y.; Li, H.; and Doermann, D. In Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pages 44–48, 2003. IEEE
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Mining Tools for Surveillance Video. Ghanem, N. M.; Doermann, D. S.; Davis, L. S.; and DeMenthon, D. F. In Storage and Retrieval Methods and Applications for Multimedia 2004, volume 5307, pages 259–270, 2003. International Society for Optics and Photonics
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Parsing and Tagging of Bilingual Dictionaries. Ma, H.; Karagol-Ayan, B.; Doermann, D.; Oard, D.; and Wang, J. Traitement Automatique Des Languages, 44(2): 125–149. 2003.
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Evaluation of the Information-theoretic Construction of Multiple Classifier Systems. Kang, H.; and Doermann, D. In Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pages 789–793, 2003. IEEE
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Issues in the Transmission, Analysis, Storage and Retrieval of Surveillance Video. Doermann, D.; Karunanidhi, A.; Parkeh, N.; Khan, M. A.; Chen, S.; Ozdemir, H. T.; Miwa, M.; and Lee, K. C. In 2003 International Conference on Multimedia and Expo. Icme'03. Proceedings (cat. No. 03th8698), volume 2, pages II-161, 2003. IEEE
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Acquisition of Bilingual Mt Lexicons from Ocred Dictionaries. Karagol-Ayan, B.; Doermann, D.; and Dorr, B. J. In Machine Translation Summit, 2003.
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Combining Multiple Classifiers Based on Third-order Dependency. Kang, H.; and Doermann, D. In Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pages 21–25, 2003. IEEE
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Measuring Structural Similarity of Document Pages for Searching Document Image Databases. Shin, C. K.; Doermann, D. S.; and Rosenfeld, A. In Sip, pages 320–325, 2003.
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Segmenting and Tagging Structured Content. Ma, H.; Karagol-Aran, B.; and Doermann, D. In Symposium on Document Image Understanding Technology, pages 53–64, 2003.
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The Design and Implementation of Viper. Mihalcik, D.; and Doermann, D. University of Maryland, 21: 22. 2003.
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Groundtruth Image Generation from Electronic Text. Doermann, D.; and Zi, G. 801ui'03,309. 2003.
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Background Line Detection with a Stochastic Model. Zheng, Y.; Li, H.; and Doermann, D. In 2003 Conference on Computer Vision and Pattern Recognition Workshop, volume 3, pages 23–23, 2003. IEEE
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Processing Noisy Documents. Zheng, Y.; Li, H.; and Doermann, D. 801ui'03, 10: 97. 2003.
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A Platform Independent Image and Video Engine. Doermann, D.; Karunanidhi, A.; Parekh, N.; and Rautio, V. In Mum 2003. Proceedings of the 2ⁿᵈ International Conference on Mobile and Ubiquitous Multimedia, pages 35–42, 2003. Linköping University Electronic Press
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Sports Video Classification Using Hmm. Gilbert, X.; Li, H.; and Doermann, D. In IEEE International Conference on Multimedia and Expo, volume 2, pages 345–348, 2003.
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  2002 (13)
Performance Evaluation of Object Detection Algorithms. Mariano, V. Y.; Min, J.; Park, J.; Kasturi, R.; Mihalcik, D.; Li, H.; Doermann, D.; and Drayer, T. In Object Recognition Supported by User Interaction for Service Robots, volume 3, pages 965–969, 2002. IEEE
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Binarization of Low Quality Text Using a Markov Random Field Model. Wolf, C.; and Doermann, D. In Object Recognition Supported by User Interaction for Service Robots, volume 3, pages 160–163, 2002. IEEE
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Beam Search for Feature Selection in Automatic Svm Defect Classification. Gupta, P.; Doermann, D.; and DeMenthon, D. In Object Recognition Supported by User Interaction for Service Robots, volume 2, pages 212–215, 2002. IEEE
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Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning. Liang, J.; and Doermann, D. In International Workshop on Document Analysis Systems, pages 224–235, 2002. Springer, Berlin, Heidelberg
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The Segmentation and Identification of Handwriting in Noisy Document Images. Zheng, Y.; Li, H.; and Doermann, D. In International Workshop on Document Analysis Systems, pages 95–105, 2002. Springer, Berlin, Heidelberg
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The TREC2001 Video Track: Information Retrieval on Digital Video Information. Smeaton, A. F.; Over, P.; Costello, C. J.; De Vries, A. P.; Doermann, D.; Hauptmann, A.; Rorvig, M. E.; Smith, J. R.; and Wu, L. In International Conference on Theory and Practice of Digital Libraries, pages 266–275, 2002. Springer, Berlin, Heidelberg
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Page Classification through Logical Labelling. Liang, J.; Doermann, D.; Ma, M.; and Guo, J. K. In Object Recognition Supported by User Interaction for Service Robots, volume 3, pages 477–480, 2002. IEEE
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Hidden Loop Recovery for Handwriting Recognition. Doermann, D.; Intrator, N.; Rivin, E.; and Steinherz, T. In Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition, pages 375–380, 2002. IEEE
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Video Analysis Applications for Pervasive Environments. Karunanidhi, A.; Doermann, D.; Parekh, N.; and Rautio, V. In 1ˢᵗ International Conference on Mobile and Ubiquitous Multimedia, Oulu, Finland, pages 48–55, 2002. Citeseer
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Video Indexing and Retrieval Based on Recognized Text. Li, H.; and Doermann, D. In 2002 IEEE Workshop on Multimedia Signal Processing., pages 245–248, 2002. IEEE
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Video Indexing and Retrieval at Umd. Wolf, C.; Doermann, D.; and Rautiainen, M. In TREC, 2002.
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Temporal Color Correlograms for Video Retrieval. Rautiainen, M.; and Doermann, D. In Object Recognition Supported by User Interaction for Service Robots, volume 1, pages 267–270, 2002. IEEE
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Junghye Min, Jin-hyeong Park, Rangachar Kasturi, David Mihalcik, Huiping Li, David Doermann, Thomas Drayer. Mariano, V. Y. In Performance Evaluation of Object Detection Algorithms, Proceedings of the 16 Th International Conference on Pattern Recognition (ICPR'02) Volume, volume 3, pages 30965, 2002.
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  2001 (11)
Classification of Document Pages Using Structure-based Features. Shin, C.; Doermann, D.; and Rosenfeld, A. International Journal on Document Analysis and Recognition, 3(4): 232–247. 2001.
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Forgery Detection by Local Correspondence. Guo, J. K.; Doermann, D.; and Rosenfeld, A. International Journal of Pattern Recognition and Artificial Intelligence, 15(04): 579–641. 2001.
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TREC-10 Experiments at University of Maryland Clir and Video. Darwish, K.; Doermann, D.; Jones, R.; Oard, D.; and Rautiainen, M. In TREC, 2001.
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Hybrid Independent Component Analysis and Support Vector Machine Learning Scheme for Face Detection. Qi, Y.; Doermann, D.; and DeMenthon, D. In 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (cat. No. 01ch37221), volume 3, pages 1481–1484, 2001. IEEE
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Translation Lexicon Acquisition from Bilingual Dictionaries. Doermann, D. S.; Ma, H.; Karagol-Ayan, B.; and Oard, D. W. In Document Recognition and Retrieval Ix, volume 4670, pages 37–48, 2001. International Society for Optics and Photonics
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Page Segmentation and Zone Classification: A Brief Analysis of Algorithms. Okun, O.; Doermann, D.; and Pietikäinen, M. Information Science Innovations (isi\textquoteright2001),98–104. 2001.
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Data-and Content-based Adaptation for Video Over Low-bandwidth Networks. Doermann, D. S.; and DeMenthon, D. In Multimedia Systems and Applications Iii, volume 4209, pages 69–78, 2001. International Society for Optics and Photonics
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Text Quality Estimation in Video. Li, H.; and Doermann, D. S. In Document Recognition and Retrieval Ix, volume 4670, pages 232–243, 2001. International Society for Optics and Photonics
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Binary Document Image Using Similarity of Multiple Texture Features. Liang, D. J. In 2001 Symposium on Document Image Understanding Technology, pages 181, 2001.
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Viper: Tools and Techniques for Video Performance Evaluation Applied to Scene and Document Images. Doermann, D.; and Mihalcik, D. In 2001 Symposium on Document Image Understanding Technology, pages 339, 2001.
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Content Features for Logical Document Labeling [5010-23]. Liang, J.; and Doermann, D. S. In Proceedings-SPIE the International Society for Optical Engineering, pages 189–196, 2001. International Society for Optical Engineering; 1999
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