Homepage of Thomas Deselaers

Theses

• Thomas Deselaers. Image Retrieval, Object Recognition, and Discriminative Models. PhD thesis. Computer Science Department, RWTH Aachen University, Aachen, Germany. 2008.

• Thomas Deselaers. Features for Image Retrieval. Diploma thesis. Computer Science Department, RWTH Aachen University, Aachen, Germany 2003.

Journal Articles

• Victor Carbune, Pedro Gonnet, Thomas Deselaers, Henry A. Rowley, Alexander Daryin, Marcos Calvo, Li-Lun Wang, Daniel Keysers, Sandro Feuz, and Philippe Gervais. Fast Multi-language LSTM-based Online Handwriting Recognition. IJCDAR, 2020. This article has been available as a preprint on Arxiv since 2019.

• Daniel Keysers, Thomas Deselaers, Henry Rowley, Li-Lun Wang, Victor Carbune. Multi-Language Online Handwriting Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2016. Volume 39, Issue 6, June 2017, pages 1180-1194.
  

• Thomas Deselaers, Daniel Keysers, Jan Hosang, Henry Rowley. GyroPen: Gyroscopes for Pen-Input with Mobile Phones. IEEE Transactions on Human-Machine Systems. Vol 45, Issue 2, April 2015, pages 263-271. Video
  

• Thomas Deselaers, Bogdan Alexe, and Vittorio Ferrari. Weakly Supervised Localization and Learning with Generic Knowledge. International Journal of Computer Vision. 100(3), pp. 257-293.
  

• Bogdan Alexe, Thomas Deselaers, Vittorio Ferrari. Measuring the Objectness of Image Windows. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(11) pp. 2189-2202.
  

• Thomas Deselaers, Tobias Gass, Georg Heigold, Hermann Ney. Latent Log-Linear Models for Handwritten Digit Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(6) pp. 1105-1117.
  

• Thomas Deselaers, Georg Heigold, Hermann Ney. Object Classification by Fusing SVMs and Gaussian Mixtures.. Pattern Recognition. 2010. Vol. 43. Issue 7. July 2010. pp. 2476-2484.

• Thomas Deselaers, Daniel Keysers, and Hermann Ney. Features for Image Retrieval: An Experimental Comparison In: Information Retrieval 11.2 (2008), pp. 77-107.

• Thomas Deselaers, Henning Müller, and Thomas M. Deserno. Automatic Medical Image Annotation in ImageCLEF 2007: Overview, Results, and Discussion. In: Pattern Recognition Letters 29.15 (Nov. 2008), pp. 1988-1995.

• Thomas Deselaers and Hermann Ney. Deformations, Patches, and Discriminative Models for Automatic Annotation of Medical Radiographs. In: Pattern Recognition Letters 29.15 (Nov. 2008), pp. 2003-2010.

• Philippe Dreuw, Daniel Stein, Thomas Deselaers, David Rybach, Morteza Zahedi, Jan Bungeroth, and Hermann Ney. Spoken Language Processing Techniques for Sign Language Recognition and Translation. In: Technology and Dissability 20.2 (June 2008), pp. 121-133.

• Abebe Rorissa, Paul D. Clough, and Thomas Deselaers. Exploring the relationship between feature and perceptual visual spaces. In: Journal of the American Society for Information Science and Technology 59.5 (Mar. 2008), pp. 770-784.

• Thomas Deselaers, Henning Müller, Paul D. Clough, Hermann Ney, and Thomas M. Lehmann. The CLEF 2005 Automatic Medical Image Annotation Task. In: International Journal of Computer Vision 74.1 (Aug. 2007), pp. 51-58.

• Daniel Keysers, Thomas Deselaers, and Thomas M Breuel. Optimal Geometric Matching for Patch-Based Object Detection. In: Electronic Letters on Computer Vision and Image Understanding 6.1 (June 2007), pp. 44-54.

• Daniel Keysers, Thomas Deselaers, Christian Gollan, and Hermann Ney. Deformation Models for Image Recognition. In: IEEE Transaction on Pattern Analysis and Machine Intelligence 29.8 (Aug. 2007), pp. 1422-1435.

• Thomas M. Lehmann, Marc Oliver Güld, Thomas Deselaers, Daniel Keysers, Henning Schubert, Klaus Spitzer, Hermann Ney, and Berthold Wein. Automatic Categorization of Medical Images for Content-based Retrieval and Data Mining. In: Computerized Medical Imaging and Graphics 29.2 (2005). pp. 143-155.
  This article was reprinted in the IMIA Yearbook 2006 because of its high importance in medical informatics and it was among the top 25 articles on science direct

Reviewed Conference Papers

2021

• Jen-Hao Rick Chang, Martin Bresler, Youssouf Chherawala, Adrien Delaye, Thomas Deselaers, Ryan Dixon, Oncel Tuzel Data Incubation - Synthesizing Missing Data for Handwriting Recognition arXiv Preprint 2021.

2020

• Emre Aksan, Thomas Deselaers, Andrea Tagliasacchi, Otmar Hilliges CoSE: Compositional Stroke Embeddings. NeurIPS 2020.

• Pedro Gonnet, Thomas Deselaers. IndyLSTMs: Independently Recurrent LSTMs. ICASSP 2020. This paper has been available as a preprint on Arxiv since 2019.

2019

• R. Reeve Ingle, Yasuhisa Fujii, Thomas Deselaers, Jonathan Baccash, Ashok C. Popat. A Scalable Handwritten Text Recognition System. ICDAR 2019.

• Victor Carbune, Thierry Coppey, Alexander Shurick, Thomas Deselaers Nikhil Sarda, and Jay Yagnik. SmartChoices: Hybridizing Programming and Machine Learning ICML 2019 Workshop on Reinforcement Learning for Real Life. Previously available as a pre-print on Arxiv (2018): Predicted Variables in Programming.

2011

• Thomas Deselaers and Vittorio Ferrari. Visual and Semantic Similarity in ImageNet. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE. Colorado Springs, CO, USA 2011.

2010

• Thomas Deselaers, Bogdan Alexe, and Vittorio Ferrari Localizing Objects while Learning Their Appearance. In European Conference on Computer Vision, Crete, Greece, September 2010.
  

• Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari ClassCut for Unsupervised Class Segmentation. In European Conference on Computer Vision, Crete, Greece, September 2010.
  

• Thomas Deselaers and Vittorio Ferrari. A Conditional Random Field for Multiple-Instance Learning. In: International Conference on Machine Learning, Haifa, Israel, June 2010.
  

• Thomas Deselaers and Vittorio Ferrari. Global and Efficient Self-Similarity for Object Classification and Detection. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE. San Francisco, CA, USA 2010.

• Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari. What is an object? In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE. San Francisco, CA, USA 2010.

• Stefanie Nowak, Allan Hanbury, and Thomas Deselaers. Object and Concept Recognition for Image Retrieval. In Experimental Evaluation in Visual Information Retrieval Series. The Information Retrieval Series. Vol 32. 1st Edition. Springer. 2010.

• Tatiana Tommasi and Thomas Deselaers. The Medical Image Classification Task. In Experimental Evaluation in Visual Information Retrieval Series. The Information Retrieval Series. Vol 32. 1st Edition. Springer. 2010.

2009

• Tobias Gass, Thomas Deselaers, and Hermann Ney. Deformation-Aware Log-Linear Models. In: Symposium of the German Association for Pattern Recognition (DAGM). LNCS. Jena, Germany 2009.

• Tobias Weyand, Thomas Deselaers, and Hermann Ney. Log-Linear Mixtures for Object Recognition. In: British Machine Vision Conference. London, UK 2009.

• Thomas Deselaers, Tobias Gass, Philippe Dreuw, and Hermann Ney. Jointly Optimising Relevance and Diversity in Image Retrieval. In: Conference On Image And Video Retrieval. Santorini, Greece 2009.

• Thomas Deselaers. Bildsuche, Objekterkennung und Diskriminative Modelle. In: Ausgezeichnete Informatikdissertationen 2008. LNI. Dagstuhl, Germany 2009.

• Thomas Deselaers, Sasa Hasan, Oliver Bender, and Hermann Ney. A Deep Learning Approach to Machine Transliteration. In: EACL 2009 Workshop on Statistical Machine Translation. Athens, Greece 2009.

• Thomas Deselaers and Thomas M. Deserno.
  Medical Image Annotation in ImageCLEF 2008. In: CLEF Workshop 2008 / Evaluating Systems for Multilingual and Multimodal Information Access. Aarhus, Denmark 2009.

• Thomas Deselaers and Allan Hanbury. The Visual Concept Detection Task in ImageCLEF 2008. In: CLEF Workshop 2008 / Evaluating Systems for Multilingual and Multimodal Information Access. Aarhus, Denmark 2009.

2008

• Thomas Deselaers, Philippe Dreuw, and Hermann Ney. Pan, Zoom, Scan - Time-coherent, Trained Automatic Video Cropping. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE. Anchorage, AK, USA 2008.

• Georg Heigold, Thomas Deselaers, Ralf Schlüter, and Hermann Ney. GIS-like Estimation of Log-Linear Models with Hidden Variables. In: IEEE International Conference on Acoustics, Speech, and Signal Processing. Las Vegas, NV, USA 2008, pp. 4045-4048.

• Georg Heigold, Thomas Deselaers, Ralf Schlüter, and Hermann Ney. Modified MMI/MPE: A Direct Evaluation of the Margin in Speech Recognition. In: International Conference on Machine Learning. Helsinki, Finland 2008, pp. 384-391.

• Thomas Deselaers, Roberto Paredes, Enrique Vidal, and Hermann Ney. Learning Weighted Distances for Relevance Feedback in Image Retrieval. In: International Conference on Pattern Recognition. Tampa, Florida, USA 2008.

• Thomas Deselaers, Lexi Pimenidis, and Hermann Ney. Bag-of-Visual-Words Models for Adult Image Classification and Filtering. In: International Conference on Pattern Recognition. Tampa, Florida, USA 2008.

• Thomas Deselaers, Georg Heigold, and Hermann Ney. SVMs, Gaussian Mixtures, and their Generative/Discriminative Fusion. In: International Conference on Pattern Recognition. Tampa, Florida, USA 2008.

• Vaishak Belle, Thomas Deselaers, and Stefan Schiffer. Randomized Trees for Real-Time One-Step Face Detection and Recognition. In: International Conference on Pattern Recognition. Tampa, Florida, USA 2008.

• Philippe Dreuw, Jens Forster, Thomas Deselaers, and Hermann Ney. Efficient Approximations to Model-based Joint Tracking and Recognition of Continuous Sign Language. In: IEEE Conference on Automatic Face and Gesture Recognition. Amsterdam, The Netherlands 2008.

• Roberto Paredes, Thomas Deselaers, and Enrique Vidal. A Probabilistic Model for User Relevance Feedback in Image Retrieval. In: Workshop on Machine Learning and Multimodal Interaction. Utrecht, The Netherlands 2008, pp. 260-271.

• Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, Andras Benczur,Matyas Brendel,aBlint Daroczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernandez Gracidas, Steven C.H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marin Castro, Hermann Ney, Xiaguang Rui, Nicu Sebe, Julian St”ottinger, and Lei Wu. Overview of the ImageCLEF 2007 Object Retrieval Task. In: Workshop of the Cross Language Evaluation Forum 2007. LNCS. Budapest, Hungary 2008.

• Henning Müller, Thomas Deselaers, Thomas M. Deserno, Jayashree Kalpathy-Kramer, Eugene Kim, and William Hersh. Overview of the ImageCLEFmed 2007 Medical Retrieval and Annotation Tasks. In: Workshop of the Cross Language Evaluation Forum 2007. LNCS. Budapest, Hungary 2008.

• Tobias Gass, Tobias Weyand, Thomas Deselaers, and Hermann Ney. FIRE in ImageCLEF 2007: Support Vector Machines and Logistic Models to Fuse Image Descriptors for Photo Retrieval. In: Workshop of the Cross Language Evaluation Forum 2007. LNCS. Budapest, Hungary 2008.

2007

• Thomas Deselaers, Antonio Criminisi, John Winn, and Ankur Agarwal. Incorporating On-demand Stereo for Real Time Recognition. In: IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, MN, USA 2007.

• Thomas Deselaers, Georg Heigold, and Hermann Ney. Speech Recognition with State-based Nearest Neighbour Classifiers. In: Interspeech. Antwerp, Belgium 2007, pp. 2093-2096.

• Philippe Dreuw, David Rybach, Thomas Deselaers, Morteza Zahedi, and Hermann Ney. Speech Recognition Techniques for a Sign Language Recognition System. In: Interspeech. Antwerp, Belgium 2007, pp. 2513-2516. ISCA best student paper award.

• Paul D. Clough, Michael Grubinger, Thomas Deselaers, Allan Hanbury, and Henning Müller. Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks. In: Evaluation of Multilingual and Multi-modal Information Retrieval - Seventh Workshop of the Cross-Language Evaluation Forum, CLEF 2006. Vol. 4730. LNCS. Alicante, Spain 2007, pp. 579-594.

• Thomas Deselaers, Tobias Weyand, and Hermann Ney. Image Retrieval and Annotation Using Maximum Entropy. In: Evaluation of Multilingual and Multi-modal Information Retrieval - Seventh Workshop of the Cross-Language Evaluation Forum, CLEF 2006. Vol. 4730. LNCS. Alicante, Spain 2007, pp. 725-734.

• Henning Müller, Thomas Deselaers, Thomas M. Lehmann, Paul D. Clough, and William Hersh. Overview of the ImageCLEFmed 2006 medical retrieval and annotation tasks. In: Evaluation of Multilingual and Multi-modal Information Retrieval - Seventh Workshop of the Cross-Language Evaluation Forum, CLEF 2006. Vol. 4730. LNCS. Alicante, Spain 2007, pp. 595-608.

2006

• Thomas Deselaers, Andre Hegerath, Daniel Keysers, and Hermann Ney.
  Sparse Patch-Histograms for Object Classification in Cluttered Images. In: Symposium of the German Association for Pattern Recognition (DAGM). Vol. 4174. Lecture Notes in Computer Science. Berlin, Germany 2006, pp. 202-211.

• Andre Hegerath, Thomas Deselaers, and Hermann Ney. Patch-based Object Recognition Using Discriminatively Trained Gaussian Mixtures. In: British Machine Vision Conference. Vol. 2. Edinburgh, UK 2006, pp. 519-528.

• Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorko, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frederic Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos Storkey, Sandor Szedmak, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, and Jianguo Zhang. The 2005 PASCAL Visual Object Classes Challenge. In: Pascal Challenges Workshop. Lecture Notes in Artificial Intelligence 3944. Southampton, UK 2006, pp. 117-176.

• Philippe Dreuw, Thomas Deselaers, David Rybach, Daniel Keysers, and Hermann Ney. Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition. In: IEEE Conference on Automatic Face and Gesture Recognition. IEEE. Southampton, UK 2006, pp. 293-298.

• Christian Terboven, Thomas Deselaers, Christian Bischof, and Hermann Ney.
  Shared-Memory Parallelization for Content-based Image Retrieval. In: ECCV Workshop on Computation Intensive Methods for Computer Vision. Graz, Austria 2006.

• Philippe Dreuw, Thomas Deselaers, Daniel Keysers, and Hermann Ney. Modeling Image Variability in Appearance-Based Gesture Recognition. In: ECCV Workshop on Statistical Methods in Multi-Image and Video Processing. Graz, Austria 2006, pp. 7-18.

• Paul D. Clough, Henning Müller, Thomas Deselaers, Michael Grubinger, Thomas M. Lehmann, Jeffrey Jensen, and William Hersh. The CLEF 2005 Cross-Language Image Retrieval Track. In: Accessing Multilingual Information Repositories, 6th Workshop of the Cross-Language Evaluation Forum, CLEF 2005. Vol. 4022. Lecture Notes in Computer Science. Vienna, Austria 2006, pp. 535-557.

• Thomas Deselaers, Tobias Weyand, Daniel Keysers, Wolfgang Macherey, and Hermann Ney. FIRE in ImageCLEF 2005: Combining Content-based Image Retrieval with Textual Information Retrieval. In: Accessing Multilingual Information Repositories, 6th Workshop of the Cross-Language Evaluation Forum, CLEF 2005. Vol. 4022. Lecture Notes in Computer Science. Vienna, Austria 2006, pp. 652-661.

• Michael Grubinger, Paul D. Clough, Henning Müller, and Thomas Deselaers. The IAPR Benchmark: A New Evaluation Resource for Visual Information Systems. In: International Conference on Language Resources and Evaluation. Genoa, Italy 2006.

• Thomas M. Lehmann, Thomas Deselaers, Henning Schubert, Marc Oliver Güld, Christian Thies, Ben Fischer, and Klaus Spitzer. IRMA - a content-based approach to Image Retrieval in Medical Applications. In: Information Resources Management Association International Conference 2006. 2006, pp. 911-912.

• Henning Müller, Paul D. Clough, William Hersh, Thomas Deselaers, Thomas M. Lehmann, and Antoine Geissbuhler. Using heterogeneous annotation and visual information for the benchmarking of image retrieval systems. In: International Society for Optical Engineering. San Jose, CA, USA 2006, pp. 34-45.

• Morteza Zahedi, Philippe Dreuw, David Rybach, Thomas Deselaers, Jan Bungeroth, and Hermann Ney. Continuous Sign Language Recognition - Approaches from Speech Recognition and Available Data Resources. In: LREC Workshop on the Representation and Processing of Sign Languages: Lexicographic Matters and Didactic Scenarios. Genoa, Italy 2006, pp. 21-24.

• Morteza Zahedi, Philippe Dreuw, David Rybach, Thomas Deselaers, and Hermann Ney. Using Geometric Features to Improve Continuous Appearance-based Sign Language Recognition. In: British Machine Vision Conference. Vol. 3. Edinburgh, UK 2006, pp. 1019-1028.

2005

• Thomas Deselaers, Daniel Keysers, and Hermann Ney. Discriminative Training for Object Recognition using Image Patches. In: IEEE Conference on Computer Vision and Pattern Recognition. Vol. 2. San Diego, CA 2005, pp. 157-162.

• Thomas Deselaers, Daniel Keysers, and Hermann Ney.
  Improving a Discriminative Approach to Object Recognition using Image Patches. In: Symposium of the German Association for Pattern Recognition (DAGM). Vol. 3663. Lecture Notes in Computer Science. Vienna, Austria 2005, pp. 326-333.

• Henning Müller, Paul D. Clough, William Hersh, Thomas Deselaers, Thomas M. Lehmann, and Antoine Geissbuhler. Evaluation Axes for Medical Image Retrieval Systems - The ImageCLEF Experience. In: ACM Multimedia. Singapore, SG 2005, pp. 1014-1022.

• Thomas Deselaers, Daniel Keysers, and Hermann Ney. FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation. In: Multilingual Information Access for Text, Speech and Images - Fifth Workshop of the Cross-Language Evaluation Forum, CLEF 2004. Vol. 3491. LNCS. Bath, UK: Springer, 2005, pp. 688-698.

• Philippe Dreuw, Daniel Keysers, Thomas Deselaers, and Hermann Ney. Gesture Recognition Using Image Comparison Methods. In: International Workshop on Gesture in Human-Computer Interaction and Simulation. Vol. 3881. Lecture Notes in Computer Science. Ile-de-Berder, France 2005, pp. 124-128.

• Arne Mauser, Ilja Bezrukov, Thomas Deselaers, and Daniel Keysers. Predicting Customer Behavior using Naive Bayes and Maximum Entropy - Winning the Data-Mining-Cup 2004. In: Informatiktage der Gesellschaft für Informatik. St. Augustin, Germany 2005.

• Jens Strackeljan, Roland Jonscher, Sigurd Prieur, David Vogel, Thomas Deselaers, Daniel Keysers, Arne Mauser, Ilja Bezrukov, and Andre Hegerath. GfKl Data Mining Competition 2005: Predicting Liquidity Crises of Companies. In: Conference of the German Classification Society. Magdeburg, Germany: Springer, 2005, pp. 748-759.

• Morteza Zahedi, Daniel Keysers, Thomas Deselaers, and Hermann Ney. Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition. In: Symposium of the German Association for Pattern Recognition (DAGM). Vol. 3663. Lecture Notes in Computer Science. Vienna, Austria 2005, pp. 401-408.

2004

• Thomas Deselaers, Daniel Keysers, and Hermann Ney.
  Features for Image Retrieval: A Quantitative Comparison. In: Symposium of the German Association for Pattern Recognition (DAGM). Vol. 3175. Lecture Notes in Computer Science. Tübingen, Germany 2004, pp. 228-236.

• Thomas Deselaers, Daniel Keysers, and Hermann Ney. Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems. In: International Conference on Pattern Recognition. Vol. 2. Cambridge, UK 2004, pp. 505-508.

• Daniel Keysers, Thomas Deselaers, and Hermann Ney. Pixel-to-Pixel Matching for Image Recognition using Hungarian Graph Matching. In: Symposium of the German Association for Pattern Recognition (DAGM). Vol. 3175. Lecture Notes in Computer Science. Tübingen, Germany 2004, pp. 154-162. Best paper award.

• Marc Oliver Güld, Daniel Keysers, Thomas Deselaers, Marcel Leisten, Henning Schubert, Hermann Ney, and Thomas M. Lehmann. Comparison of Global Features for Categorization of Medical Images. In: Medical Imaging 2004 (SPIE 2004): PACS and Imaging Informatics. 2004, pp. 211-222.

• Thomas M. Lehmann, Marc Oliver Güld, Daniel Keysers, Thomas Deselaers, Henning Schubert, Berthold B. Wein, and Klaus Spitzer. Similarity of Medical Images Computed from Global Feature Vectors for Content-based Retrieval. In: International Conference on Knowledge-Based Intelligent Information and Engineering Systems. Lecture Notes in Artificial Intelligence. Special Session on similarity measures for content-based multimedia retrieval. Wellington, New Zealand 2004, pp. 989-995.

2003

• Thomas Deselaers, Daniel Keysers, Roberto Paredes, Enrique Vidal, and Hermann Ney. Local Representations for Multi-Object Recognition. In: Symposium of the German Association for Pattern Recognition (DAGM). Vol. 2781. Lecture Notes in Computer Science. Magdeburg, Germany: Springer Verlag, 2003, pp. 305-312.

• Thomas Deselaers, Daniel Keysers, and Hermann Ney. Clustering Visually Similar Images to Improve Image Search Engines. In: Informatiktage der Gesellschaft für Informatik. Bad Schussenried, Germany 2003, p. 302.

• Daniel Keysers, Michael Motter, Thomas Deselaers, and Hermann Ney. Training and Recognition of Complex Scenes using a Holistic Statistical Model. In: Symposium of the German Association for Pattern Recognition (DAGM). Vol. 2781. Lecture Notes in Computer Science. Magdeburg, Germany: Springer Verlag, 2003, pp. 52-59.

Patents

• Daniel Keysers, Thomas Deselaers, Henry Rowley Partial Overlap and Delayed Stroke Input Recognition. US Patent US20160098595A1. Published April 07, 2016.

• Li-Lun Wang, Thomas Deselaers, Henry Rowley Segmentation of an Input by Cut Point Classification. US Patent US20150235097A1. Published August 20, 2015.

• Henry Rowley, Thomas Deselaers, Li-Lun Wang. Segmentation of Overwritten Online Handwriting Input. US Patent US20150186718A1. Published July 2, 2015.

• Thomas Deselaers, Daniel Keysers, Dmitriy Genzel, Ashok Popat. Text Recognition Based on Recognition Units. US Patent US20150186738A1. Published July 2, 2015

• Daniel Keysers, Thomas Deselaers, Henry Rowley. Segmentation of Devanagari-Script Handwriting for Recognition. US Patent US20150169949A1. Published Jun 18, 2015.

• Daniel Keysers, Thomas Deselaers, Henry Rowley. Partial Overlap and Delayed Stroke Input Recognition. US Patent US20150169950A1. Published June 18, 2015.

• Thomas Deselaers, Daniel Keysers. Interactive display of high dynamic range images. US Patent US20150169204A1. Publiced June 18, 2015.

• Thomas Deselaers, Daniel Keysers. Collaborative Email. US Patent US20150156153A1. Published June 4, 2015.

• Thomas Deselaers, Damon Kohler, Daniel Keysers, Matthew Sharifi, Richard Zarek Cohen, Benoit Boissinot, Stephan Gammeter. System to integrate real-world objects into social networks. US Patent US20140188742. Issued Jul 3, 2014.

• Franz Josef Och, Thomas Deselaers, Daniel Keysers, Henry A. Rowley Progress display of handwriting input. US Patent 20140085215. Issued Mar 27, 2014.

• Thomas Deselaers, Daniel Keysers. Method and system for deep links in application contexts. US Patent US8510764, Issued Aug 13, 2013.

• Daniel Keysers, Thomas Deselaers. Motion estimation for mobile device user interaction. US Patent 8194926. Issued June 5, 2012.

• John Winn, Antonio Criminisi, Ankur Agarwal, Thomas Deselaers. Recognizing Hand Poses andor Object Classes. US Patent US20080317331. Issued Dec. 25, 2008.

Technical Reports

• Philippe Gervais, Thomas Deselaers, Emre Aksan, Otmar Hilliges. The DIDI dataset: Digital Ink Diagram data. arXiv Preprint 2020.

• Bogdan Alexe, Thomas Deselaers, Marcin Eichner, Vittorio Ferrari, Peter Gehler, Alain Lehmann, Stefano Pellegrini, Alessandro Prest Which Energy Minimization for my MRF/CRF? A Cheat-Sheet Computer Vision Laboratory, ETH Zurich, Technical Report 273

Editorials

Henning Müller, Paul Clough, Thomas Deselaers, Barbara Caputo. Experimental Evaluation in Visual Information Retrieval Series. The Information Retrieval Series. Vol 32. 1st Edition. Springer. 2010.

Thomas Deselaers, Henning Müller, Thomas M. Deserno. Special Issue on Medical Image Annotation in ImageCLEF 2007 of Pattern Recognition Letters.

Carol Peters, Thomas Deselaers, Nicola Ferro, Julio Gonzalo, Gareth J.F. Jones, Mikko Kurimo, Thomas Mandl, Anselmo Peñas, Vivien Petras Evaluating Systems for Multilingual and Multimodal Information Access. LNCS 5706. Springer.