Before joining google.ch in November 2007, I was a senior researcher at the German Research Center for Artificial Intelligence (DFKI), Image Understanding and Pattern Recognition Group (IUPR), where I lead various projects in the area of document image understanding, OCR, and image and video retrieval.

Before joining the DFKI in May 2005, I was a research assistant, a PhD student, and the leader of the image recognition group at the Chair of Computer Science VI at RWTH Aachen University, Germany.

My personal research interests include pattern recognition and statistical modeling, especially for image object recognition, video processing, document image understanding, (demos) and medical imaging (see IRMA) as well as data mining. I am also interested in comparative irrelevance and I have been (and still am) involved in various teaching activities.

List of Publications (reverse chronological order)

2009

• F. Shafait, D. Keysers, T. Breuel. Response to "Projection Methods Require Black Border Removal". In IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 31, Number 4, pages 763-764, Apr 2009.

2008

• F. Shafait, J. van Beusekom, D. Keysers, T. Breuel. Background Variability Modeling for Statistical Layout Analysis. In ICPR 2008, 19th Int. Conf. on Pattern Recognition, Tampa, Florida, December 2008.
• F. Shafait, D. Keysers, T. Breuel. GREC 2007 Arc Segmentation Contest: Evaluation of Four Participating Algorithms. In Graphics Recognition: Recent Advances and New Opportunities (GREC 2007 selected papers). LNCS volume 5046, pages 310-320, November 2008
• J. van Beusekom, F. Shafait, D. Keysers, T. Breuel. Document Cleanup Using Page Frame Detection. In IJDAR, Int. Journal on Document Analysis and Recognition, Volume 11, Issue 2, Pages 81-96, October 2008.
• F. Shafait, J. van Beusekom, D. Keysers, T. Breuel. Structural Mixtures for Statistical Layout Analysis. In DAS 2008, 8th Int. Workshop on Document Analysis Systems, Nara, Japan, September 2008.
• A. Ulges, C. Schulze, D. Keysers, T. Breuel. Identifying Relevant Frames in Weakly Labeled Videos for Training Concept Detectors. In CIVR 2008, ACM International Conference on Image and Video Retrieval, Niagara Falls, Canada, July 2008.
• F. Shafait, D. Keysers, T. Breuel. Performance Evaluation and Benchmarking of Six Page Segmentation Algorithms. In IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 30, Number 6, pages 941-954, June 2008.
• M. Renn, J. van Beusekom, D. Keysers, T. Breuel. Automatic Image Tagging using Community-Driven Online Image Databases. In AMR 2008, 6th International Workshop on Adaptive Multimedia Retrieval, Berlin, Germany, June 2008.
• A. Ulges, C. Schulze, D. Keysers, T. Breuel. A System that Learns to Tag Videos by Watching Youtube. In ICVS 2008, 6th International Conference on Computer Vision Systems, Santorini, Greece, May 2008.
• T. Deselaers, D. Keysers, H. Ney. Features for Image Retrieval: An Experimental Comparison. In Information Retrieval, pp. 77-107, Vol. 11, No. 2, March 2008. (publisher's page)
• F. Shafait, D. Keysers, T. Breuel. Efficient Implementation of Local Adaptive Thresholding Techniques Using Integral Images. In Document Recognition and Retrieval XV, IS&T/SPIE Annual Symposium on Electronic Imaging, San Jose, CA, January 2008.

• D. Keysers, M. Renn, T. Breuel. Improving Accessibility of HTML Documents by Generating Image-Tags in a Proxy . In ACM ASSETS 2007, Ninth International ACM SIGACCESS Conference on Computers and Accessibility, Tempe, Arizona, pages 249-250, October 2007.
• M. Krämer, H. Kaprykowsky, D. Keysers, T. Breuel. Bibliographic Meta-Data Extraction Using Probabilistic Finite State Transducers. In ICDAR 2007, 9th International Conference on Document Analysis and Recognition, Curitiba, Brazil, volume II, pages 609-613, September 2007.
• J. van Beusekom, D. Keysers, F. Shafait, T. Breuel. Example-Based Logical Labeling of Document Title Page Images. In ICDAR 2007, 9th International Conference on Document Analysis and Recognition, Curitiba, Brazil, volume II, pages 919-923, September 2007.
• C. Kofler, D. Keysers, A. Koetsier, J. Laagland, T. Breuel. Gestural Interaction for an Automatic Document Capture System. In CBDAR 2007, Second International Workshop on Camera-Based Document Analysis and Recognition, Curitiba, Brazil, pages 161-167, September 2007. (unreviewed demonstration paper)
• A. Ulges, C. Schulze, D. Keysers, T. Breuel. Content-based Video Tagging for Online Video Portals. In MUSCLE Workshop 2007, Third MUSCLE / ImageCLEF Workshop on Image and Video Retrieval Evaluation, Budapest, Hungary, September 2007.
• A. Ulges, C. Lampert, D. Keysers, T. Breuel. Optimal Dominant Motion Estimation using Adaptive Search of Transformation Space. In DAGM 2007, 29th Annual Symposium of the German Association for Pattern Recognition, Heidelberg, Germany, LNCS volume 4713, pages 204-213, September 2007.
• D. Keysers, T. Deselaers, C. Gollan, and H. Ney. Deformation Models for Image Recognition. In IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 29, Number 8, pages 1422-1435, August 2007. ©2007 IEEE. (abstract, pdf)
• D. Keysers, T. Deselaers, T. Breuel. Optimal Geometric Matching for Patch-Based Object Detection. In Electronic Letters on Computer Vision and Image Analysis, Volume 6, Issue 1, pages 44-54, June 2007.
• F. Shafait, J. van Beusekom, D. Keysers, and T. Breuel. Page Frame Detection for Marginal Noise Removal from Scanned Documents. In SCIA 2007, 15th Scandinavian Conference on Image Analysis, Aalborg, Denmark, pages 651-660, June 2007.
• D. Keysers. Variabilitätsmodellierung für die Bilderkennung (in German). In Ausgezeichnete Informatikdissertationen 2006, GI Lecture Notes in Informatics (LNI), Proceedings of the Dissertationspreis-Kolloquium, Dagstuhl, Germany, pages 117-128, May 2007.
• D. Keysers, F. Shafait, and T. Breuel. Document Image Zone Classification - A Simple High-Performance Approach. In VISAPP 2007, 2nd International Conference on Computer Vision Theory and Applications, Barcelona, Spain, pages 44-51, March 2007.

• F. Shafait, A. ul-Hasan, D. Keysers, and T. Breuel. Layout Analysis of Urdu Document Images. In INMIC 2006, Islamabad, Pakistan, pages 293-298, December 2006. (abstract)
• A. Ulges, C. Lampert, D. Keysers. Spatiogram-Based Shot Distances for Video Retrieval. In TRECVID Workshop, Gaithersburg, MD, November 2006. (unreviewed workshop paper)
• T. Deselaers, A. Hegerath, D. Keysers, H. Ney. Sparse Patch-Histograms for Object Classification in Cluttered Images. In DAGM 2006, Pattern Recognition, 28th DAGM Symposium, Berlin, Germany, LNCS volume 4174, pages 202-211, September 2006.
• F. Shafait, D. Keysers, and T. Breuel. Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images. In ICPR 2006, International Conference on Pattern Recognition, Hong Kong, China, pages 872-875, August 2006.
• D. Keysers and T. Breuel. Optimal Line and Arc Detection on Run-Length Representations. In GREC 2005, Sixth International IAPR Workshop on Graphics Recognition. LNCS volume 3926, pages 369-380, 2006.
• D. Keysers. Comparison and Combination of State-of-the-art Techniques for Handwritten Character Recognition: Topping the MNIST Benchmark. Technical Report, IUPR Research Group, DFKI and Technical University of Kaiserslautern, May 2006. (abstract at arXiv.org)
• P. Dreuw, T. Deselaers, D. Keysers, H. Ney. Modeling Image Variability in Appearance-Based Gesture Recognition. In ECCV-SMVP, 3rd Workshop on Statistical Methods in Multi-Image and Video Processing, Graz, Austria, pages 7-18, May 2006.
• J. van Beusekom, D. Keysers, F. Shafait, T. Breuel. Distance Measures for Layout-Based Document Image Retrieval. In DIAL 2006, 2nd IEEE International Conference on Document Image Analysis for Libraries, Lyon, France, pages 232-242, April 2006.
• P. Dreuw, T. Deselaers, D. Rybach, D. Keysers, H. Ney. Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition. In FG 2006, 7th International Conference Automatic Face and Gesture Recognition, Southampton, UK, pages 293-298, April 2006.
• M. Everingham, A. Zisserman, C. Williams, L. Van Gool, M. Allan, C. Bishop, O. Chapelle, N. Dalal, T. Deselaers, G. Dorko, S. Duffner, J. Eichhorn, J. Farquhar, M. Fritz, C. Garcia, T. Griffiths, F. Jurie, D. Keysers, M. Koskela, J. Laaksonen, D. Larlus, B. Leibe, H. Meng, H. Ney, B. Schiele, C. Schmid, E. Seemann, J. Shawe-Taylor, A. Storkey, S. Szedmak, B. Triggs, I. Ulusoy, V. Viitaniemi, and J. Zhang. The 2005 PASCAL Visual Object Classes Challenge. In Machine Learning Challenges. First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, Revised Selected Papers. LNCS volume 3944, pages 117-176, April 2006.
• D. Keysers. Modeling of Image Variability for Recognition. Dissertation, RWTH Aachen University, March 2006. (Nominated by the RWTH Aachen for the GI-Dissertationspreis 2006 and only "summa cum laude" Dissertation at RWTH in Computer Science in 2006.)
• F. Shafait, D. Keysers, and T. Breuel. Performance Comparison of Six Algorithms for Page Segmentation. In DAS 2006, 7th IAPR Workshop on Document Analysis Systems, Nelson, New Zealand, LNCS volume 3872, pages 368-379, February 2006.
• T. Breuel and D. Keysers. Round-Trip HTML Rendering and Analysis for Testing, Indexing, and Security. In DAS 2006, 7th IAPR Workshop on Document Analysis Systems, Nelson, New Zealand, February 2006. Extended abstract.
• D. Keysers, C. Lampert, and T. Breuel. Color Image Dequantization by Constrained Diffusion. In SPIE EI 2006, IS&T/SPIE 18th Annual Symposium Electronic Imaging, Vol. 6058 of Proc. SPIE, pages 6058.03.01-6058.03.10, San Jose, CA, January 2006.
• J. Strackeljan, R. Jonscher, S. Prieur, D. Vogel, T. Deselaers, D. Keysers, A. Mauser, I. Bezrukov, and A. Hegerath. GfKl Data Mining Competition 2005: Predicting Liquidity Crises of Companies. In From Data and Information Analysis to Knowledge Engineering. Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V. 2005, Magdeburg, Germany, pages 748-758, 2006.

• T. Deselaers, T. Weyand, D. Keysers, W. Macherey, and H. Ney. FIRE in ImageCLEF 2005: Combining Content-based Image Retrieval with Textual Information Retrieval, Working Notes of the CLEF Workshop, Vienna, Austria, September 2005.
• T. Deselaers, D. Rybach, P. Dreuw, D. Keysers, and H. Ney. Face-based Image Retrieval: One Step Toward Object-based Image Retrieval. MUSCLE/ImageCLEF workshop 2005, Vienna, Austria, September 2005.
• T. Deselaers, D. Keysers, and H. Ney. Improving a Discriminative Approach to Object Recognition using Image Patches. In DAGM 2005, Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, LNCS volume 3663, pages 326-333, August/September 2005.
• M. Zahedi, D. Keysers, T. Deselaers, and H. Ney. Combination of Tangent Distance and Image Distortion for Appearance-Based Sign Language Recognition. In DAGM 2005, Pattern Recognition, 27th DAGM Symposium, Vienna, Austria, LNCS volume 3663, pages 401-408, August/September 2005.
• C. Lampert, T. Braun, A. Ulges, D. Keysers, and T. Breuel. Oblivious Document Capture and Real-Time Retrieval. In CBDAR 2005, International Workshop on Camera-Based Document Analysis and Recognition. Seoul, South Korea, pages 79-86, August 2005.
• D. Keysers and T. Breuel. Optimal Line and Arc Detection on Run-Length Representations. In GREC 2005, Sixth International IAPR Workshop on Graphics Recognition. Hong Kong, China, pages 17-23, August 2005.
• T. Deselaers, D. Keysers, and H. Ney. Discriminative Training for Object Recognition Using Image Patches. In CVPR 2005, International Conference on Computer Vision and Pattern Recognition, San Diego, CA, volume II, pages 157-162, June 2005.
• T. Lehmann, M. Güld, T. Deselaers, D. Keysers, H. Schubert, K. Spitzer, H. Ney, and B. Wein. Automatic Categorization of Medical Images for Content-based Retrieval and Data Mining. In Computerized Medical Imaging and Graphics, volume 29, numbers 2-3, pages 143-155, 2005. (One of the 10 most downloaded articles from the journal on ScienceDirect in 2005.)
• M. Zahedi, D. Keysers, and H. Ney. Appearance-Based Recognition of Words in American Sign Language. In IbPRIA 2005, 2nd Iberian Conference on Pattern Recognition and Image Analysis, Estoril, Portugal, LNCS volume 3522, pages 511-519, June 2005.
• M. Zahedi, D. Keysers, and H. Ney. Pronunciation Clustering and Modeling of Variability for Appearance-Based Sign Language Recognition. In GW 2005, 6th International Workshop on Gesture in Human-Computer Interaction and Simulation, Volume LNCS 3881 of Lecture Notes in Computer Science, pages 68-79, Ile-de-Berder, France, May 2005.
• P. Dreuw, D. Keysers, T. Deselaers, and H. Ney. Gesture Recognition Using Image Comparison Methods. In GW 2005, 6th International Workshop on Gesture in Human-Computer Interaction and Simulation, Volume LNCS 3881 of Lecture Notes in Computer Science, pages 124-128, Ile-de-Berder, France, May 2005.
• A. Mauser, I. Bezrukov, T. Deselaers, and D. Keysers. Predicting Customer Behavior using Naive Bayes and Maximum Entropy -- Winning the Data-Mining-Cup 2004. In Informatiktage 2005 der Gesellschaft für Informatik, St. Augustin, Germany, pages 143-145, April 2005. (see also the article from the Computerzeitung (in German): Informatikernachwuchs forscht nahe an Trends)
• D. Rybach, D. Keysers, and H. Ney. Erweiterung eines holistischen statistischen Bilderkenners zur Verwendung von mehreren Merkmalen (in German). In Informatiktage 2005 der Gesellschaft für Informatik, St. Augustin, Germany, pages 155-158, April 2005.
• I. Bezrukov, T. Deselaers, A. Hegerath, D. Keysers, and A. Mauser. GfKl Data Mining Competition 2005: Predicting Liquidity Crises of Companies - Part I: Data Preprocessing. In GfKl 2005, 29th Annual Conference of the German Classification Society, Magdeburg, Germany, March 2005. (abstract/pdf, slides/pdf, picture)
• A. Mauser, D. Keysers, A. Hegerath, T. Deselaers, and I. Bezrukov. GfKl Data Mining Competition 2005: Predicting Liquidity Crises of Companies - Part II: Training and Classification. In GfKl 2005, 29th Annual Conference of the German Classification Society, Magdeburg, Germany, March 2005. (abstract/pdf, slides/pdf)

• T. Deselaers, D. Keysers, and H. Ney. FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation. In CLEF 2004 Workshop. Bath, UK, pages 535-544, September 2004.
  Paper in the Proceedings published in Springer LNCS: T. Deselaers, D. Keysers, and H. Ney. FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation. In CLEF 2004, LNCS 3491, Bath, UK, pages 688-698, September 2004, printed 2005.
• D. Keysers, T. Deselaers, and H. Ney. Pixel-to-Pixel Matching for Image Recognition using Hungarian Graph Matching. In DAGM 2004, Pattern Recognition, 26th DAGM Symposium, Tübingen, Germany, volume LNCS 3175 of Lecture Notes in Computer Science, pages 154-162, August/September 2004.
  This paper received one of the four "DAGM Prizes" (best paper awards) at the conference.
• T. Deselaers, D. Keysers, and H. Ney. Features for Image Retrieval: A Quantitative Comparison. In DAGM 2004, Pattern Recognition, 26th DAGM Symposium, Tübingen, Germany, volume LNCS 3175 of Lecture Notes in Computer Science, pages 228 - 236, August/September 2004.
• T. Lehmann, M. Güld, C. Thies, B. Fischer, K. Spitzer, D. Keysers, H. Ney, M. Kohnen, H. Schubert, and B. Wein. Content-based Image Retrieval in Medical Applications. In Methods of Information in Medicine, volume 43, number 4, pages 354-361, 2004.
• D. Keysers, C. Gollan, and H. Ney. Local Context in Non-linear Deformation Models for Handwritten Character Recognition. In ICPR 2004, International Conference on Pattern Recognition, Cambridge, UK, volume IV, pages 511-514, August 2004. ©2004 IEEE (.pdf, software, slides)
• D. Keysers and H. Ney. Linear Discriminant Analysis and Discriminative Log-linear Modeling. In ICPR 2004, International Conference on Pattern Recognition, Cambridge, UK, volume I, pages 156-159, August 2004. ©2004 IEEE
• T. Deselaers, D. Keysers, and H. Ney. Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems. In ICPR 2004, International Conference on Pattern Recognition, Cambridge, UK, volume II, pages 505-508, August 2004. ©2004 IEEE
• T. Kölsch, D. Keysers, H. Ney, and R. Paredes. Enhancements for Local Feature Based Image Classification. In ICPR 2004, International Conference on Pattern Recognition, Cambridge, UK, volume I, pages 248-251, August 2004. ©2004 IEEE
• A. Toselli, A. Juan, J. Gonzalez, I. Salvador, E. Vidal, F. Casacuberta, D. Keysers, and H. Ney. Integrated Handwriting Recognition and Interpretation using Finite State Models. In Int. J. of Pattern Recognition and Artificial Intelligence, volume 18, number 4, pages 519-539, June 2004. (abstract, top downloaded paper in 2007)
• D. Keysers, C. Gollan, and H. Ney. Classification of Medical Images using Non-linear Distortion Models. In BVM 2004, Bildverarbeitung für die Medizin 2004, Berlin, Germany, pages 366-370, March 2004. (.pdf, software)
• D. Keysers, W. Macherey, H. Ney, and J. Dahmen. Adaptation in Statistical Pattern Recognition Using Tangent Vectors. In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 26, number 2, pages 269-274, February 2004. ©2004 IEEE. (.pdf, abstract)

• T. Lehmann, M. Güld, D. Keysers, H. Schubert, M. Kohnen, and B. Wein. Determining the view of chest radiographs. Journal of Digital Imaging, volume 16, Issue 3, pages 280-291, December 2003.
• S. Molau, D. Keysers, and H. Ney. Matching Training and Test Data Distributions for Robust Speech Recognition. Speech Communication, volume 41, Issue 4, pages 579-601, November 2003.
• T. Deselaers, D. Keysers, and H. Ney. Clustering Visually Similar Images to Improve Image Search Engines. In Informatiktage 2003 der Gesellschaft für Informatik, Bad Schussenried, Germany, November 2003.
• D. Keysers, M. Motter, T. Deselaers, and H. Ney. Training and Recognition of Complex Scenes using a Holistic Statistical Model. In DAGM 2003, Pattern Recognition, 25th DAGM Symposium, Magdeburg, Germany, volume LNCS 2781 of Lecture Notes in Computer Science, pages 52-59, September 2003. ©Springer-Verlag. (.pdf, COIL-RWTH data set)
• T. Deselaers, D. Keysers, R. Paredes, E. Vidal, and H. Ney. Local Representations for Multi-Object Recognition. In DAGM 2003, Pattern Recognition, 25th DAGM Symposium, Magdeburg, Germany, volume LNCS 2781 of Lecture Notes in Computer Science, pages 305-312, September 2003. ©Springer-Verlag.
• D. Keysers, R. Paredes, E. Vidal, and H. Ney. Comparison of Log-Linear Models and Weighted Dissimilarity Measures. In IbPRIA 2003, 1st Iberian Conference on Pattern Recognition and Image Analysis, Puerto de Andratx, Spain, volume LNCS 2652 of Lecture Notes in Computer Science, Springer-Verlag, pages 370-377, June 2003.
• D. Keysers and W. Unger. Elastic Image Matching is NP-complete. In Pattern Recognition Letters, volume 24, Issue 1-3, pages 445-453, January 2003. ©Elsevier Science B.V. (abstract, .ps, .pdf)
• D. Keysers, J. Dahmen, H. Ney, B.B. Wein, and T.M. Lehmann. Statistical Framework for Model-based Image Retrieval in Medical Applications. In Journal of Electronic Imaging, volume 12, Issue 1, pages 59-68, January 2003. (abstract, .pdf, .ps)

• D. Keysers, F.J. Och, and H. Ney. Efficient Maximum Entropy Training for Statistical Object Recognition. In Informatiktage 2002 der Gesellschaft für Informatik, Bad Schussenried, Germany, pages 342-345, November 2002.
• D. Keysers, F.J. Och, and H. Ney. Maximum Entropy and Gaussian Models for Image Object Recognition. In DAGM 2002, Pattern Recognition, 24th DAGM Symposium, Zürich, Switzerland, volume LNCS 2449 of Lecture Notes in Computer Science, Springer-Verlag, pages 498-506, September 2002. ©Springer-Verlag.
• S. Molau, F. Hilger, D. Keysers, and H. Ney. Enhanced Histogram Normalization in the Acoustic Feature Space. In ICSLP 2002, 7th International Conference on Spoken Language Processing, Denver, CO, pages 1421-1424, September 2002.
• B. Haasdonk and D. Keysers. Tangent Distance Kernels for Support Vector Machines. In ICPR 2002, International Conference on Pattern Recognition, Quebec City, Canada, volume II, pages 864-868, August 2002. ©IEEE. (abstract)
• R. Paredes, E. Vidal, and D. Keysers. An Evaluation of the WPE Algorithm using Tangent Distance. In ICPR 2002, International Conference on Pattern Recognition, Quebec City, Canada, volume IV, pages 48-51, August 2002. ©IEEE. (abstract)
• D. Keysers, R. Paredes, H. Ney, and E. Vidal. Combination of Tangent Vectors and Local Representations for Handwritten Digit Recognition. In SPR 2002, International Workshop on Statistical Pattern Recognition, Windsor, Ontario, Canada, volume LNCS 2396 of Lecture Notes in Computer Science, Springer-Verlag, pages 538-547, August 2002. ©Springer-Verlag. (abstract, .pdf)
• D. Keysers, S. Celik, H. Braess, J. Dahmen, and H. Ney. Parameter Estimation for Automatic Dose Control in Radioscopy. In BVM 2002, Bildverarbeitung für die Medizin 2002, Leipzig, Germany, pages 279-282, March 2002.
• R. Paredes, D. Keysers, T. Lehmann, B.B. Wein, H. Ney, and E. Vidal. Classification of Medical Images using Local Representations. In BVM 2002, Bildverarbeitung für die Medizin 2002, Leipzig, Germany, pages 171-174, March 2002.

• D. Keysers, J. Dahmen, H. Ney, and M.O. Güld. A Statistical Framework for Multi-Object Recognition In Informatiktage 2001 der Gesellschaft für Informatik, Bad Schussenried, Germany, pages 73-76, October 2001.
• D. Keysers, W. Macherey, J. Dahmen, and H. Ney. Learning of Variability for Invariant Statistical Pattern Recognition. In ECML 2001, 12th European Conference on Machine Learning. Freiburg, Germany, pages 263-275, volume 2167 of Lecture Notes in Computer Science, Springer-Verlag, September 2001. ©Springer-Verlag. (abstract, .pdf)
• W. Macherey, D. Keysers, J. Dahmen, and H. Ney. Improving Automatic Speech Recognition Using Tangent Distance. In Eurospeech 2001, 7th European Conference on Speech Communication and Technology. Aalborg, Denmark, pages 1825-1828, volume III, September 2001.
• J. Dahmen, D. Keysers, and H. Ney. Combined Classification of Handwritten Digits using the 'Virtual Test Sample Method'. MCS 2001, 2nd International Workshop on Multiple Classifier Systems. Cambridge, UK, pages 109-118, volume LNCS 2096 of Lecture Notes in Computer Science, Springer-Verlag, July 2001. ©Springer-Verlag. (abstract)
• J. Dahmen, D. Keysers, H. Ney, and M. O. Güld. Statistical Image Object Recognition using Mixture Densities. Journal of Mathematical Imaging and Vision, volume 14, number 3, pages 285-296, May 2001. (.pdf)
• D. Keysers, J. Dahmen, and H. Ney. Invariant Classification of Red Blood Cells. In BVM 2001, Bildverarbeitung für die Medizin 2001, Lübeck, Germany, pages 367-371, March 2001.
• J. Dahmen, D. Keysers, M. Motter, H. Ney, T. Lehmann, and B.B. Wein. An Automatic Approach to Invariant Radiograph Classification. In BVM 2001, Bildverarbeitung für die Medizin 2001, Lübeck, Germany, pages 337-341, March 2001.

• D. Keysers. Invariante Objekterkennung (in German). In Informatiktage 2000 der Gesellschaft für Informatik, Bad Schussenried, Germany, pages 67-69, October 2000.
• D. Keysers, J. Dahmen, and H. Ney. A Probabilistic View on Tangent Distance. In Mustererkennung 2000, 22. DAGM Symposium, Springer, Kiel, Germany, pages 107-114, September 2000.
• J. Dahmen, D. Keysers, M. Pitz, and H. Ney. Structured Covariance Matrices for Statistical Image Object Recognition. In Mustererkennung 2000, 22. DAGM Symposium, Springer, Kiel, Germany, pages 99-106, September 2000.
• D. Keysers, J. Dahmen, T. Theiner, and H. Ney. Experiments with an Extended Tangent Distance. In Proceedings 15th International Conference on Pattern Recognition, ICPR 2000, Barcelona, Spain, pages 38-42, volume 2, September 2000. ©IEEE. (.ps.gz, .pdf, abstract, software)
• J. Dahmen, D. Keysers, M. O. Güld, and H. Ney. Invariant Image Object Recognition using Mixture Densities. In Proceedings 15th International Conference on Pattern Recognition, ICPR 2000, Barcelona, Spain, pages 614-617, volume 2, September 2000. ©IEEE. (abstract)
• D. Keysers. Approaches to Invariant Image Object Recognition. Diploma thesis, Lehrstuhl für Informatik VI, RWTH Aachen, Aachen, June 2000.
• J. Dahmen, T. Theiner, D. Keysers, H. Ney, T. Lehmann, and B.B. Wein. Classification of Radiographs in the `Image Retrieval in Medical Applications' System (IRMA). In Proceedings of the 6th International RIAO Conference on Content-Based Multimedia Information Access, Paris, France, pages 551-566, April 2000.
• C. Palm, D. Keysers, T. Lehmann, and K. Spitzer. Gabor Filtering of Complex Hue/Saturation Images for Color Texture Classification. In JCIS 2000, Joint Conference on Information Sciences - International Conference on Computer Vision, Pattern Recognition, and Image Processing, Atlantic City, NJ, USA, volume 2, pages 45-49, February 2000. (corrected pdf; also see this page for more of Christoph Palm's work on color texture analysis; if you understand German, you might be interested in Christoph Palm's PhD-Thesis "Integrative Auswertung von Farbe und Textur" (.pdf))

• D. Keysers. Texturanalyse von Farbbildern mit Gaborfiltern (in German). Research project, Institute of Medical Informatics, Medical Faculty, RWTH Aachen, Aachen, 1999.

• D. Keysers. Modeling of Image Variability for Recognition. Talk in the Informatik Kolloquium Series of the TU Kaiserslautern. Kaiserslautern, June 25, 2007.
• D. Keysers. Improving Face-Detection Accuracy using Context. Talk at Microsoft Research/Live Labs, Redmond, WA, October 13, 2006.
• D. Keysers. Modeling of Image Variability for Recognition. Talk during the Olympus Prize ceremony at the DAGM 2006, Berlin, September 12, 2006.
• D. Keysers. Image-Based Personal Computing Technologies and Modeling of Image Variability for Recognition. Talk at the Instituto Tecnológico de Informática (ITI) and the Technical University UPV, Valencia, Spain, May 29, 2006.
• D. Keysers and T. Breuel. Image-Based Personal Computing Tools. BMBF project presentation, Kaiserslautern, Germany, April 4, 2006.
• D. Keysers. Modeling of Image Variability for Recognition. Talk (PhD defense), RWTH Aachen University, Aachen, Germany, March 14, 2006.
• D. Keysers. Studiengang Informatik an der TU Kaiserslautern und Einführung in die Mustererkennung und Bildverarbeitung (in German). Talk for final year high-school students at the Herzog-Johann-Gymnasium, Simmern (Hunsrück), Germany, February 3, 2006.
• D. Keysers. Bildverstehen II - Mustererkennung und Anwendungen (in German). Talk at Schloss Dagstuhl, Germany, December 8, 2005.
• D. Keysers. Modeling of Image Variability for Recognition. Talk at the Chair of Pattern Recognition and Image Processing, University of Freiburg, Germany, September 16, 2005.
• D. Keysers. Modeling of Image Variability for Recognition. PhD-seminar presentation at the Lehrstuhl für Informatik VI, RWTH Aachen, Germany, June 24, 2005.
• D. Keysers. Modeling of Image Variability for Recognition. Talk at the Research Centre Jülich, Institute of Medicine, Jülich, Germany, April 18, 2005.
• D. Keysers. Modeling of Image Variability for Recognition. Talk at the Philips Research Labs, Aachen, Germany, March 16, 2005.
• D. Keysers. Modeling of Image Variability for Recognition. Talk at the University of York, York, UK, February 23, 2005.
• D. Keysers. Modeling of Image Variability for Recognition. Talk at the Technical University Darmstadt, Darmstadt, Germany, February 21, 2005.
• D. Keysers. Nonlinear Matching with Local Context for Handwritten Character Recognition. Talk at the DFKI/University of Kaiserslautern, Kaiserslautern, Germany, February 8, 2005.
• M. Zahedi, D. Keysers, and H. Ney. Appearance-Based Recognition of Signs in American Sign Language. Poster presentation at the 5th Sign Language Workshop of the RWTH Aachen University, Aachen, Germany, October 29, 2004.
• D. Keysers. From Content-Based Image Retrieval to Image Recognition with Non-Linear Matching. Talk at the Google labs, Mountain View, CA, September 23, 2004.
• D. Keysers. From Content-Based Image Retrieval to Image Recognition with Non-Linear Matching. Talk at UCLA, Los Angeles, CA, September 16, 2004.
• H. Müller and D. Keysers. Tutorial on Medical Image Retrieval. MedInfo 2004, 11th World Congress on Medical Informatics, San Francisco, CA, September 8, 2004.
• D. Keysers. Image Matching for Object Recognition. PhD-seminar presentation at the Lehrstuhl für Informatik VI, RWTH Aachen, Germany, June 9, 2004.
• D. Keysers, F.J. Och, H. Ney, and R. Paredes. Efficient Maximum Entropy and Discriminative Training. PhD-seminar presentation at the Lehrstuhl für Informatik VI, RWTH Aachen, Germany, November 19, 2002.
• D. Keysers, F. J. Och, H. Ney, and R. Paredes. Efficient Maximum Entropy and Gaussian Models (for Image Object Recognition). Talk at the Instituto Tecnológico de Informática (ITI), Technical University UPV, Valencia, Spain, October 29, 2002.
• D. Keysers, J. Dahmen, and H. Ney. Image Recognition using Statistical Methods and Tangent Vectors. Talk at the University of Castilla-La Mancha, Albacete, Spain, February 20, 2002.
• D. Keysers. Classification of 1D-Structures in Images. Talk at the Instituto Tecnológico de Informática (ITI), Technical University UPV, Valencia, Spain, February 19, 2002.
• D. Keysers and H. Ney. Some Topics in Image Object Recognition. Talk at the Instituto Tecnológico de Informática (ITI), Technical University Valencia, Spain, January 30, 2002.
• D. Keysers and H. Ney. Models for Image Object Recognition. PhD-seminar presentation at the Lehrstuhl für Informatik VI, RWTH Aachen, Germany, December 21, 2001.
• D. Keysers, J. Dahmen, and H. Ney. Image Recognition using Statistical Methods and Tangent Vectors. Talk at the Chair of Pattern Recognition and Image Processing, University of Freiburg, Germany, September 7, 2001.
• other publications I contributed to can be found at the IRMA publications page

Teaching

Lectures, Lab Courses, Seminars

• lecture "OCR and Handwriting Recognition" summer 2009, at Technical University Valencia UPV (with A. Hector, E. Vidal, H. Bunke)
• lecture "OCR and Handwriting Recognition" summer 2008, at Technical University Valencia UPV (with A. Hector)
• lecture "OCR and Handwriting Recognition" summer 2007, at Technical University Valencia UPV (with A. Hector)
• lecture "Image and Video Processing" summer 2007
• lab course "Data Mining Cup" summer 2007: In April/May 2007 I coached a team of two students who participated in the Data Mining Cup 2007. Marius Renn and Qu Lizhen obtained the places 26 and 27 out of 248 submissions and we were able to reach a very good third place (again!) in the DMC 2007 University Ranking I extracted from the official result listing.
• lab course "Pattern Recognition" winter 2006/2007 (with A. Ulges)
• seminar "Computer Vision and Pattern Recogntion" winter 2006/2007
• lecture "Image and Video Processing" summer 2006 (with Ch. Lampert)
• lab course "Data Mining Cup" summer 2006: In April/May 2006 I coached a team of two students who participated in the Data Mining Cup 2006. Marius Renn and Qu Lizhen obtained the places 21 and 23 out of 173 submissions and we were able to reach a very good third place in the DMC 2006 University Ranking I extracted from the official result listing.
• seminar "Pattern Recognition and Computer Vision" winter 2005/2006 (with M. Goldstein, Ch. Lampert)
  • topic "Sequence Learning and Speech Recognition" (by M. Krämer .pdf, slides .pdf)
• seminar "Computer Gaming" summer 2005 (with Ch. Lampert, F. Schroff, F. Shafait, A. Stahl)
  • topic "RoboCup" (by M. Plößl, slides in German .pdf)
  • topic "Graphics Programming" (by L. Middendorf, slides in German .pdf)
  • topic "Who plays what?" (by O. Blauth, slides in German .pdf)
• lab course "Data Mining Cup" summer 2005: In April/May 2005 Thomas and I coached a team of students who participated in the Data Mining Cup 2005. This time the whole thing was organized as a lab course. (The next course in the series was nominated for the teaching award of the RWTH and won the second place.) Ilja Bezrukov, a member of our team, won the Data Mining Cup 2005 (and everybody else also did very well); more information, results (.pdf)
• In January 2005 Thomas and I coached a team of students participating in the GfKl Data Mining Competition 2005. We obtained the 2nd, 2nd (same number of points), 6th, 7th, and 9th place out of 40 participants. (1st place won by D. Vogel, who also won the KDD-Cup in 2003 and 2004, so we're quite happy with the 2nd place.)
• seminar "Computer Vision" winter 2004/2005
  • topic "Segmentation by Fitting a Model" (by C. Dolch, in German .pdf, slides .pdf)
• undergrad seminar "Data Compression" winter 2004/2005
  • topic "Image Compression and Progressive Transmission" (by F. Reske)
  • topic "Compression of Textual Images" (by M. Vukadinovic)
• In April/May 2004 I successfully coached a team of students who participated in the Data Mining Cup 2004 together with Thomas Deselaers. The three students won the 1st, 3rd, and 5th place out of 97 participants.
• undergrad lab course on speech and image recognition summer 2004
• seminar "Medical Image Processing" summer 2004
  • topic "Word Assignment to Image Parts" (by A. Fritsche, in German .pdf, slides .pdf)
• seminar "Data Mining" winter 2003/2004
  • topic "Preprocessing and Visualization" (by J. Diehl, .pdf, slides .pdf)
  • topic "Data Analysis, Uncertainty, and Statistical Modeling (part 2)" (by T. Holz, in German .pdf, slides .pdf)
• undergrad seminar "Data Compression" winter 2003/2004
  • topic "Image Compression and Progressive Transmission" (by M. Oeste and J. Herling)
  • topic "Compression of Textual Images" (by C. Brüffer)
• lab course on speech and image recognition winter 2003/2004 (with Wolfgang Macherey, Andras Zolnay, and Nicola Ueffing)
• seminar "Medical Image Processing" summer 2003
  • topic "Elastic Bunch-Graph Matching for Object Recognition" (by D. Rybach, in German .ps, .ps.gz, slides .ps, .ps.gz)
  • topic "Invariant Features for Image Retrieval" (by I. Bezrukov, in German .ps, slides .pdf)
• course work "Digital Signal Processing for Speech and Images (Prof. Ney)" summer 2003 (with Andras Zolnay)
• undergrad lab course on speech and image recognition summer 2003
• course work "Computer Organization (Prof. Spaniol)" summer 2003 (with Mesut Günes and Ralf Wienzek)
• lab course on speech and image recognition winter 2002/2003 (with Florian Hilger and Wolfgang Macherey)
• organization of the "SUN Software award 2002 ('Pathfinder')" (part of the "day of computer science 2002")
• undergrad seminar "Data Compression" winter 2002/2003
  • topics "Image Compression and Progressive Transmission" (by T. Dickmeis and I. Menzel)
• course work "Computer Organization (Prof. Lakemeyer)" summer 2002 (with Gero Iwan and Stefan Sklorz)
• undergrad lab course on speech and image recognition summer 2002
• seminar "Medical Image Processing" summer 2002
  • topic "Appearance-Based Recognition of 3D-Objects" (by A. Wenning, in German .ps, .ps.gz, slides .ps.gz, .pdf)
  • topic "Probabilistic Tracking using the Condensation Algorithm" (by A. Janßen, in German .ps, .ps.gz, slides .ps, .ps.gz, .pdf)
• course work "Computer Organization (Prof. Haverkort)" summer 2001 (with Lucia Cloth)
• course work "Digital Signal Processing for Speech and Images (Prof. Ney)" summer 2001 (with Florian Hilger)
• lecture notes to the course on "Medical Image Processing" can be downloaded here.
• seminar "Medical Image Processing" summer 2001
• seminar "Retrieval/Classification of Multimedia Data" summer 2001
  • topic "Content-Based Image Retrieval" (by B. Molitor, in German .ps, .ps.gz, slides .ps.gz)
• seminar "Medical Image Processing" winter 2000/2001
  • topic "An Efficient 2D-Warping Algorithm" (by C. Gollan, in German .ps, .ps.gz)
• tutor for "Automata and Reactive Systems" (Prof. Thomas), winter 1999/2000
• tutor for "Models and Constructions in Automata Theory" (Prof. Thomas), summer 1999
• tutor for "Computability and Complexity" (Prof. Thomas), winter 1998/1999
  

• research project "Tagr: Automatic Image Tagging for Random Imagery" (by M. Renn, .pdf)
• diploma thesis "Document Layout Analysis" (by Joost van Beusekom .pdf)
• master thesis "Ellipse Detection and Stereo Circle Reconstruction" (by Yu Li; external thesis)
• research project "Extension of a Holistic Statistical Object Recognition System for Use of Several Features" (by D. Rybach, in German, .pdf)
• diploma thesis "Appearance-Based Gesture Recognition" (by P. Dreuw, .pdf)
• diploma thesis "Features for Image Retrieval" (by T. Deselaers, .pdf)
• diploma thesis "Local Features for Image Classification" (by T. Kölsch, .ps, .ps.gz, .pdf)
• diploma thesis "Non-Linear Deformation Models for Image Object Recognition" (by C. Gollan, in German, .pdf, .ps, .ps.gz)
• research project "Automatic Detection of the Iris and Feature Extraction in Digital Color Images of the Human Eye" (by S. Mayer, in German, .pdf)
• research project "Parameter Estimation for Automatic Dose Control in Radioscopy" (by S. Celik, in German, .ps, .ps.gz)
• diploma thesis "Statistical Modeling of Image Objects for Object Recognition" (by M. Motter, in German, .ps, .ps.gz, .pdf)

Review Activities

Journals

• IEEE TPAMI . .
• IEEE TMI
• IEEE TIP .
• Pattern Recognition
• Annals of Biomedical Engineering
• Journal of Digital Imaging
• Image and Vision Computing
• Measurement Science and Technology
• IEEE Geoscience and Remote Sensing Letters
• Pattern Recognition Letters
• Journal of Classification
• Pattern Analysis and Applications
• Machine Vision and Applications
• IEEE Transactions on Instrumentation and Measurement
• EURASIP Journal on Image and Video Processing
• International Journal of Document Analysis and Recognition
• Journal on Advances in Signal Processing
• Computational Statistics and Data Analysis
• Electronic Letters on Computer Vision and Image Analysis
• The Open Artificial Intelligence Journal

• CVPR 2007
• ICPR 2004
• ACCV 2009
• DAGM 2001, 2002, 2003, 2004, 2005
• IbPRIA 2003
• MRW2010
• CBDAR 2005
• STACS 2007
• MVA 2007
• KES 2007, 2008
• IECON 2007
• VISAPP 2008

• IMIA Yearbook of Medical Informatics 2007
• GREC 2005 Post-Proceedings
• Intl. FLINS Conf. on Applied Artificial Intelligence 2006
• Soft Computing in Image Processing: Recent Advances, Springer 2006

• Co-organization of the GREC 2007 Arc Segmentation Contest
• Program Committee for VISAPP 2008

Other Links

If you have reached this page, the following may or may not be of interest to you:

• visiting professor at the Technical University UPV, Valencia, Spain, 03-04/2007
• research visit at Microsoft Research, Redmond, WA, 07-10/2006 (with Paul Viola)
• research visits at the Instituto Tecnológico de Informática (ITI), Technical University UPV, Valencia, Spain: 01-02/2002 and 09-10/2002
• other links: DBLP - CS - Thanks to Google I discovered that actually some people read my publications. Well, now there's Google Scholar, so the list is not that useful any more, but I keep on updating it anyway. (Well, I used to.)

• I was one of the two laureates of the 2006 Olympus Prize, awarded by the DAGM (pictures: 1 2 3 4 5 6 7)
• IUPR's demo page
• results of the GREC 2005 arc segmentation competition (contribution award).
• the results of the ImageCLEF 2005 Automatic Annotation Task.
• the results of the 2005 PASCAL Visual Object Recognition Challenge (video of Thomas presenting our approach)
• the tangent distance implementation
• the software for image recognition with non-linear deformation models
  (0.54% error rate on MNIST)
• a demonstration and sources of the content-based image retrieval system FIRE - see also this video
  (best result in the fully automatic retrieval of medical images using visual information only, 2004 imageCLEF competition)
• the COIL-RWTH data set for evaluation of object recognition in complex scenes
• the video of Thomas Deselaers and me trying to explain how to detect images of naked people for the "popular science" TV show "Planetopia" (December 2004): video huge (avi, 22M), video large (avi, 11M), video small (avi, 5.6M), English translation of the text
• the "home pages" of Christina, Philipp, and Johanna
• not that interesting, but still: my Erdös number is 4