Thomas Deselaers

Thomas Deselaers, Bogdan Alexe, Vittorio Ferrari: Weakly Supervised Localization and Learning with Generic Knowledge. International Journal of Computer Vision 100(3): 275-293 (2012)

Thomas Deselaers, Tobias Gass, Georg Heigold, Hermann Ney: Latent Log-Linear Models for Handwritten Digit Classification. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1105-1117 (2012)

Bogdan Alexe, Thomas Deselaers, Vittorio Ferrari: Measuring the Objectness of Image Windows. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2189-2202 (2012)

Thomas Deselaers, Vittorio Ferrari: Visual and semantic similarity in ImageNet. CVPR 2011: 1777-1784

Thomas Deselaers, Georg Heigold, Hermann Ney: Object classification by fusing SVMs and Gaussian mixtures. Pattern Recognition 43(7): 2476-2484 (2010)

Bogdan Alexe, Thomas Deselaers, Vittorio Ferrari: What is an object? CVPR 2010: 73-80

Thomas Deselaers, Vittorio Ferrari: Global and efficient self-similarity for object classification and detection. CVPR 2010: 1633-1640

Bogdan Alexe, Thomas Deselaers, Vittorio Ferrari: ClassCut for Unsupervised Class Segmentation. ECCV (5) 2010: 380-393

Thomas Deselaers, Bogdan Alexe, Vittorio Ferrari: Localizing Objects While Learning Their Appearance. ECCV (4) 2010: 452-466

Thomas Deselaers, Vittorio Ferrari: A Conditional Random Field for Multiple-Instance Learning. ICML 2010: 287-294

Tobias Weyand, Thomas Deselaers, Hermann Ney: Log-Linear Mixtures for Object Class Recognition. BMVC 2009: 1-11

Thomas Deselaers, Tobias Gass, Philippe Dreuw, Hermann Ney: Jointly optimising relevance and diversity in image retrieval. CIVR 2009

Tobias Gass, Thomas Deselaers, Hermann Ney: Deformation-Aware Log-Linear Models. DAGM-Symposium 2009: 201-210

Philippe Dreuw, Pascal Steingrube, Thomas Deselaers, Hermann Ney: Smoothed Disparity Maps for Continuous American Sign Language Recognition. IbPRIA 2009: 24-31

Heiko Roßnagel, Jan Zibuschka, Lexi Pimenidis, Thomas Deselaers: Facilitating the Adoption of Tor by Focusing on a Promising Target Group. NordSec 2009: 15-27

Carol Peters, Thomas Deselaers, Nicola Ferro, Julio Gonzalo, Gareth J. F. Jones, Mikko Kurimo, Thomas Mandl, Anselmo Peñas, Vivien Petras (Eds.): Evaluating Systems for Multilingual and Multimodal Information Access, 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark, September 17-19, 2008, Revised Selected Papers. Lecture Notes in Computer Science 5706, Springer 2009, isbn 978-3-642-04446-5

Thomas Deselaers: Image retrieval, object recognition, and discriminative models. Universität Aachen 2008, pp. I-X, 1-205

Thomas Deselaers, Daniel Keysers, Hermann Ney: Features for image retrieval: an experimental comparison. Inf. Retr. 11(2): 77-107 (2008)

Abebe Rorissa, Paul Clough, Thomas Deselaers: Exploring the relationship between feature and perceptual visual spaces. JASIST 59(5): 770-784 (2008)

Thomas Deselaers, Henning Müller, Thomas Martin Deserno: Editorial to the Special Issue on Medical Image Annotation in ImageCLEF 2007. Pattern Recognition Letters 29(15): 1987 (2008)

Thomas Deselaers, Thomas Martin Deserno, Henning Müller: Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion. Pattern Recognition Letters 29(15): 1988-1995 (2008)

Thomas Deselaers, Hermann Ney: Deformations, patches, and discriminative models for automatic annotation of medical radiographs. Pattern Recognition Letters 29(15): 2003-2010 (2008)

Thomas Deselaers, Thomas Martin Deserno: Medical Image Annotation in ImageCLEF 2008. CLEF 2008: 523-530

Thomas Deselaers, Allan Hanbury: The Visual Concept Detection Task in ImageCLEF 2008. CLEF 2008: 531-538

Thomas Deselaers, Philippe Dreuw, Hermann Ney: Pan, zoom, scan - Time-coherent, trained automatic video cropping. CVPR 2008

Philippe Dreuw, Jens Forster, Thomas Deselaers, Hermann Ney: Efficient approximations to model-based joint tracking and recognition of continuous sign language. FG 2008: 1-6

Thomas Deselaers: Image Retrieval, Object Recognition, and Discriminative Models. Ausgezeichnete Informatikdissertationen 2008: 51-60

Georg Heigold, Thomas Deselaers, Ralf Schlüter, Hermann Ney: A GIS-like training algorithm for log-linear models with hidden variables. ICASSP 2008: 4045-4048

Georg Heigold, Thomas Deselaers, Ralf Schlüter, Hermann Ney: Modified MMI/MPE: a direct evaluation of the margin in speech recognition. ICML 2008: 384-391

Vaishak Belle, Thomas Deselaers, Stefan Schiffer: Randomized trees for real-time one-step face detection and recognition. ICPR 2008: 1-4

Thomas Deselaers, Georg Heigold, Hermann Ney: SVMs, Gaussian mixtures, and their generative/discriminative fusion. ICPR 2008: 1-4

Thomas Deselaers, Lexi Pimenidis, Hermann Ney: Bag-of-visual-words models for adult image classification and filtering. ICPR 2008: 1-4

Thomas Deselaers, Roberto Paredes, Enrique Vidal, Hermann Ney: Learning weighted distances for relevance feedback in image retrieval. ICPR 2008: 1-4

Roberto Paredes, Thomas Deselaers, Enrique Vidal: A Probabilistic Model for User Relevance Feedback on Image Retrieval. MLMI 2008: 260-271

Thomas Deselaers, Henning Müller, Paul Clough, Hermann Ney, Thomas Martin Lehmann: The CLEF 2005 Automatic Medical Image Annotation Task. International Journal of Computer Vision 74(1): 51-58 (2007)

Daniel Keysers, Thomas Deselaers, Christian Gollan, Hermann Ney: Deformation Models for Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1422-1435 (2007)

Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, András A. Benczúr, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández-Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marín Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, Lei Wu: Overview of the ImageCLEF 2007 Object Retrieval Task. CLEF 2007: 445-471

Henning Müller, Thomas Deselaers, Thomas Martin Deserno, Jayashree Kalpathy-Cramer, Eugene Kim, William R. Hersh: Overview of the ImageCLEFmed 2007 Medical Retrieval and Medical Annotation Tasks. CLEF 2007: 472-491

Tobias Gass, Tobias Weyand, Thomas Deselaers, Hermann Ney: FIRE in ImageCLEF 2007: Support Vector Machines and Logistic Models to Fuse Image Descriptors for Photo Retrieval. CLEF 2007: 492-499

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

Thomas Deselaers, Georg Heigold, Hermann Ney: Speech recognition with state-based nearest neighbour classifiers. INTERSPEECH 2007: 2093-2096

Philippe Dreuw, David Rybach, Thomas Deselaers, Morteza Zahedi, Hermann Ney: Speech recognition techniques for a sign language recognition system. INTERSPEECH 2007: 2513-2516

Andre Hegerath, Thomas Deselaers, Hermann Ney: Patch-based Object Recognition Using Discriminatively Trained Gaussian Mixtures. BMVC 2006: 519-528

Morteza Zahedi, Philippe Dreuw, David Rybach, Thomas Deselaers, Hermann Ney: Geometric Features for Improving Continuous Appearance-based Sign Language Recognition. BMVC 2006: 1019-1028

Paul Clough, Michael Grubinger, Thomas Deselaers, Allan Hanbury, Henning Müller: Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks. CLEF 2006: 579-594

Henning Müller, Thomas Deselaers, Thomas Martin Deserno, Paul Clough, Eugene Kim, William R. Hersh: Overview of the ImageCLEFmed 2006 Medical Retrieval and Medical Annotation Tasks. CLEF 2006: 595-608

Thomas Deselaers, Tobias Weyand, Hermann Ney: Image Retrieval and Annotation Using Maximum Entropy. CLEF 2006: 725-734

Thomas Deselaers, Andre Hegerath, Daniel Keysers, Hermann Ney: Sparse Patch-Histograms for Object Classification in Cluttered Images. DAGM-Symposium 2006: 202-211

Philippe Dreuw, Thomas Deselaers, David Rybach, Daniel Keysers, Hermann Ney: Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition. FG 2006: 293-298

Paul Clough, Henning Müller, Thomas Deselaers, Michael Grubinger, Thomas Martin Lehmann, Jeffery R. Jensen, William R. Hersh: The CLEF 2005 Cross-Language Image Retrieval Track. CLEF 2005: 535-557

Thomas Deselaers, Tobias Weyand, Daniel Keysers, Wolfgang Macherey, Hermann Ney: FIRE in ImageCLEF 2005: Combining Content-Based Image Retrieval with Textual Information Retrieval. CLEF 2005: 652-661

Thomas Deselaers, Daniel Keysers, Hermann Ney: Discriminative Training for Object Recognition Using Image Patches. CVPR (2) 2005: 157-162

Thomas Deselaers, Daniel Keysers, Hermann Ney: Improving a Discriminative Approach to Object Recognition Using Image Patches. DAGM-Symposium 2005: 326-333

Morteza Zahedi, Daniel Keysers, Thomas Deselaers, Hermann Ney: Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition. DAGM-Symposium 2005: 401-408

Jens Strackeljan, Roland Jonscher, Sigurd Prieur, David Vogel, Thomas Deselaers, Daniel Keysers, Arne Mauser, Ilja Bezrukov, Andre Hegerath: GfKl Data Mining Competition 2005: Predicting Liquidity Crises of Companies. GfKl 2005: 748-758

Philippe Dreuw, Daniel Keysers, Thomas Deselaers, Hermann Ney: Gesture Recognition Using Image Comparison Methods. Gesture Workshop 2005: 124-128

Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc J. Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Thomas L. Griffiths, Frédéric 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 J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang: The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176

Henning Müller, Paul Clough, William R. Hersh, Thomas Deselaers, Thomas Martin Lehmann, Antoine Geissbühler: Evaluation axes for medical image retrieval systems: the imageCLEF experience. ACM Multimedia 2005: 1014-1022

Thomas Deselaers, Daniel Keysers, Hermann Ney: FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation. CLEF 2004: 688-698

Daniel Keysers, Thomas Deselaers, Hermann Ney: Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching. DAGM-Symposium 2004: 154-162

Thomas Deselaers, Daniel Keysers, Hermann Ney: Features for Image Retrieval: A Quantitative Comparison. DAGM-Symposium 2004: 228-236

Thomas Deselaers, Daniel Keysers, Hermann Ney: Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems. ICPR (2) 2004: 505-508

Thomas Martin Lehmann, Mark Oliver Güld, Daniel Keysers, Thomas Deselaers, Henning Schubert, Berthold B. Wein, Klaus Spitzer: Similarity of Medical Images Computed from Global Feature Vectors for Content-Based Retrieval. KES 2004: 989-995

Daniel Keysers, Michael Motter, Thomas Deselaers, Hermann Ney: Training and Recognition of Complex Scenes Using a Holistic Statistical Model. DAGM-Symposium 2003: 52-59

Thomas Deselaers, Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney: Local Representations for Multi-object Recognition. DAGM-Symposium 2003: 305-312