Homepage of Thomas Deselaers

Selected Publications

My full list of publications is available here.

My Google Scholar profile

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.

Abstract

2020

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

Abstract

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

Abstract   Project page.

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. IJDAR, 2020. This article has been available as a preprint on Arxiv since 2019.

Abstract  Experiment information

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

Abstract

2019

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

Abstract

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.

Abstract

2016

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

Abstract

2015

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

Abstract

2012

Thomas Deselaers, Bogdan Alexe, and Vittorio Ferrari Weakly Supervised Localization and Learning with Generic Knowledge. IJCV.

International Journal of Computer Vision. Vol 100, Issue 3, pages 257-293.
Abstract

Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari Measuring the Objectness of Image Windows. PAMI.

IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol 34, Issue 11, pages 2189-2202.
Abstract

Thomas Deselaers, Tobias Gass, Georg Heigold, and Hermann Ney. Latent Log-Linear Models for Handwritten Digit Classification. PAMI.

IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol 34, Issue 6, pages 1105-1117.
Abstract

2011

Thomas Deselaers and Vittorio Ferrari. Visual and Semantic Similarity in ImageNet. CVPR 2011.

IEEE Computer Vision and Pattern Recognition, Colorado Springs, CO, USA, pages 1777-1784 June 2011.
Abstract

2010

Thomas Deselaers, Bogdan Alexe, and Vittorio Ferrari. Localizing Objects while Learning Their Appearance. ECCV 2010.

European Conference on Computer Vision, Crete, Greece, September 2010.
ECCV vol. 4, LNCS 6314, pages 452-466.
Abstract

Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari. ClassCut for Unsupervised Class Segmentation. ECCV 2010.

European Conference on Computer Vision, Crete, Greece, September 2010.
ECCV vol. 6, LNCS 6316, pages 380-393
Abstract

Thomas Deselaers and Vittorio Ferrari. A Conditional Random Field for Multiple-Instance Learning. ICML 2010.

International Conference on Machine Learning, Haifa, Israel, June 2010.
Abstract   paper discussion site

Thomas Deselaers and Vittorio Ferrari. Global and Efficient Self-Similarity for Object Classification and Detection. CVPR 2010.

IEEE Computer Vision and Pattern Recognition, San Francisco, CA, USA, June 2010.
Abstract   video of the talk at CVPR 2010   code available

Bogdan Alexe, Thomas Deselaers, and Vittorio Ferrari. What is an object? CVPR 2010.

IEEE Computer Vision and Pattern Recognition, San Francisco, CA, USA, June 2010.
Abstract   code available

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.
Abstract

2009

Tobias Gass, Thomas Deselaers, Hermann Ney. Deformation-Aware Log-Linear Models. DAGM 2009.

31st annual symposion of the German Association for Pattern Recognition. September 9-11, 2009. Jena, Germany.
Abstract

Tobias Weyand, Thomas Deselaers, Hermann Ney. Log-Linear Mixtures for Object Recognition. BMVC 2009.

British Machine Vision Conference 2009. September 7-10, 2009. London, UK.
Abstract

Thomas Deselaers, Tobias Gass, Philippe Dreuw, Hermann Ney. Jointly Optimising Relevance and Diversity in Image Retrieval. CIVR 2009.

ACM International Conference on Image and Video Retrieval 2009. July 8-10, 2009. Island of Santorini, Greece.
Abstract

Thomas Deselaers. Bildsuche, Objekterkennung und Diskriminative Modelle. Ausgezeichnete Informatikdissertationen 2008.

Ausgezeichnete Informatikdissertationen/Gesellschaft für Informatik.
Abstract

2008

Thomas Deselaers Image Retrieval, Object Recognition, and Discriminative Models. PhD Thesis. RWTH Aachen University. 2008.

Human Language Technology and Pattern Recognition Group, Computer Science Department, RWTH Aachen University, Aachen, Germany.
Abstract

Thomas Deselaers, Philippe Dreuw, Hermann Ney. Pan, Zoom, Scan - Time-coherent, Trained Automatic Video Cropping. CVPR 2008.

IEEE Conference on Computer Vision and Pattern Recognition. June 24-27, 2008. Anchorage, AK, USA.
Video (local) Suppl. Video (youtube) – code available: Project site and flash video. Abstract

Georg Heigold, Thomas Deselaers Ralf Schlüter, Hermann Ney. Modified MMI/MPE: A Direct Evaluation of the Margin in Speech Recognition. ICML 2008.

The 25th International Conference on Machine Learning. July 5-9, 2008. Helsinki, Finnland.
Abstract

Thomas Deselaers, Daniel Keysers, Hermann Ney Features for Image Retrieval: An Experimental Comparison. Information Retrieval. 2008.

Vol. 11. Issue 2. Springer. pp. 77-107.
Project page: FIREAbstract

2007

Philippe Dreuw, David Rybach, Morteza Zahedia, Hermann Ney Speech Recognition Techniques for a Sign Language Recognition System. Interspeech/ICSLP 2208.
The 8th International Conference on Spoken Language Processing

August 27-31, 2007 Antwerp, Belgium. pp. 2513-2516.
Abstract

Thomas Deselaers, Antonio Criminisi, John Winn, Ankur Agarwal. Incorporating On-demand Stereo for Real Time Recognition. CVPR 2007.

IEEE Conference on Computer Vision and Pattern Recognition. June 19-21, 2007 Minneapolis, MN, USA.
Abstract

Daniel Keysers, Thomas Deselaers, Christian Gollan, Hermann Ney. Deformation Models for Image Recognition. PAMI 2007.

IEEE Transaction on Pattern Analysis and Machine Intelligence. Vol. 29. Issue 8. IEEE. pp. 1422-1435
Abstract

Thomas Deselaers, Henning Müller, Paul D. Clough, Hermann Ney, Thomas. M. Lehmann. The CLEF 2005 Automatic Medical Image Annotation Task. IJCV 2007.

International Journal of Computer Vision. Vol. 74. Issue 1. pp. 51-58.
Abstract

Daniel Keysers, Thomas Deselaers, Thomas M. Breuel. Optimal Geometric Matching for Patch-Based Object Detection. ELCVIA 2007.

Electronic Letters on Computer Vision and Image Analysis. Vol. 6, Issue 1, pp. 44-54
Abstract

2006

Thomas Deselaers, Andre Hegerath, Daniel Keysers, Hermann Ney. Sparse Patch-Histograms for Object Classification in Cluttered Images. DAGM 2006.

28th annual symposion of the German Association for Pattern Recognition. September 12-15, 2006. Berlin, Germany.
Abstract

Andre Hegerath, Thomas Deselaers, Hermann Ney. Patch-based Object Recognition Using Discriminatively Trained Gaussian Mixtures. BMVC 2006.

British Machine Vision Conference 2006. September 4-7, 2006. Edinburgh, UK.
Abstract

Philippe Dreuw, Thomas Deselaers, David Rybach, Daniel Keysers, Hermann Ney. Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition. FG 2006.

IEEE International Conference Automatic Face and Gesture Recognition. April 10-13, 2006. Southampton, UK.
Abstract

2005

Thomas Deselaers, Daniel Keysers, Hermann Ney. Improving a Discriminative Approach to Object Recognition using Image Patches. DAGM 2005.

27th annual symposion of the German Association for Pattern Recognition. LNCS 3663. pp 326-333. August 30-September 2, 2005. Vienna, Austria.
Abstract

Thomas Deselaers, Daniel Keysers, Hermann Ney. Discriminative Training for Object Recognition using Image Patches. CVPR 2005.

IEEE Conference on Computer Vision and Pattern Recognition. vol 2, pp 157-162. June 20-24, 2005. San Diego, CA, USA.
Abstract

2004

Thomas Deselaers, Daniel Keysers, Hermann Ney. Features for Image Retrieval -A Quantitative Comparison. DAGM 2004.

26th annual symposion of the German Association for Pattern Recognition. LNCS 3175, pp 228-236. Aug 30-September 2, 2004. Tübingen, Germany.
Project page: FIREAbstract

Thomas Deselaers, Daniel Keysers. Hermann Ney. Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems. ICPR 2004.

International Conference on Pattern Recognition. vol 2, pp. 505-508. August 08-12, 2004 Cambridge, UK.
Project page: FIREAbstract

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.