Local Representations for Multi-object Recognition. - Thomas Deselaers; Daniel Keysers; Roberto Paredes; Enrique Vidal 001; Hermann Ney (DAGM-Symposium, 2003)

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

FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation. - Thomas Deselaers; Daniel Keysers; Hermann Ney (CLEF, 2004)

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

Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching. - Daniel Keysers; Thomas Deselaers; Hermann Ney (DAGM-Symposium, 2004)

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

Similarity of Medical Images Computed from Global Feature Vectors for Content-Based Retrieval. - Thomas Martin Lehmann; Mark Oliver Güld; Daniel Keysers; Thomas Deselaers; Henning Schubert; Berthold B. Wein; Klaus Spitzer 001 (KES, 2004)

The CLEF 2005 Cross-Language Image Retrieval Track. - Paul D. Clough; Henning Müller; Thomas Deselaers; Michael Grubinger; Thomas Martin Lehmann; Jeffery R. Jensen; William R. Hersh (CLEF, 2005)

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

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

Improving a Discriminative Approach to Object Recognition Using Image Patches. - Thomas Deselaers; Daniel Keysers; Hermann Ney (DAGM-Symposium, 2005)

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

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

Gesture Recognition Using Image Comparison Methods. - Philippe Dreuw; Daniel Keysers; Thomas Deselaers; Hermann Ney (Gesture Workshop, 2005)

Predicting Customer Behavior using Naive Bayes and Maximum Entrop. - Arne Mauser; Ilja Bezrukov; Thomas Deselaers; Daniel Keysers (Informatiktage, 2005)

The 2005 PASCAL Visual Object Classes Challenge. - Mark Everingham; Andrew Zisserman; Christopher K. I. Williams; Luc Van Gool; Moray Allan; Christopher M. Bishop; Olivier Chapelle; Navneet Dalal; Thomas Deselaers; Gyuri Dorkó; Stefan Duffner; Jan Eichhorn; et al. (MLCW, 2005)

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

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

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

Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks. - Paul D. Clough; Michael Grubinger; Thomas Deselaers; Allan Hanbury; Henning Müller (CLEF (Working Notes), 2006)

Image Retrieval and Annotation Using Maximum Entropy. - Thomas Deselaers; Tobias Weyand; Hermann Ney (CLEF (Working Notes), 2006)

Overview of the ImageCLEFmed 2006 Medical Retrieval and Medical Annotation Tasks. - Henning Müller; Thomas Deselaers; Thomas Martin Deserno; Paul D. Clough; Eugene Kim; William R. Hersh (CLEF, 2006)

Overview of the ImageCLEFmed 2006 Medical Retrieval and Annotation Tasks. - Henning Müller; Thomas Deselaers; Thomas Martin Lehmann; Paul D. Clough; Eugene Kim; William R. Hersh (CLEF (Working Notes), 2006)

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

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

FIRE in ImageCLEF 2007. - Thomas Deselaers; Tobias Gass; Tobias Weyand; Hermann Ney (CLEF (Working Notes), 2007)

Overview of the ImageCLEF 2007 Object Retrieval Task. - 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; et al. (CLEF (Working Notes), 2007)

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

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

Overview of the ImageCLEF 2007 Medical Retrieval and Annotation Tasks. - Henning Müller; Thomas Deselaers; Eugene Kim; Jayashree Kalpathy-Cramer; Thomas Martin Deserno; William R. Hersh (CLEF (Working Notes), 2007)

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

Speech recognition with state-based nearest neighbour classifiers. - Thomas Deselaers; Georg Heigold; Hermann Ney (INTERSPEECH, 2007)

Speech recognition techniques for a sign language recognition system. - Philippe Dreuw; David Rybach; Thomas Deselaers; Morteza Zahedi; Hermann Ney (INTERSPEECH, 2007)

The CLEF 2005 Automatic Medical Image Annotation Task. - Thomas Deselaers; Henning Müller; Paul D. Clough; Hermann Ney; Thomas Martin Lehmann (Int. J. Comput. Vis., 2007)

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

Image retrieval, object recognition, and discriminative models. - Thomas Deselaers (2008)

Medical Image Annotation in ImageCLEF 2008. - Thomas Deselaers; Thomas Martin Deserno (CLEF (Working Notes), 2008)

The Visual Concept Detection Task in ImageCLEF 2008. - Thomas Deselaers; Allan Hanbury (CLEF, 2008)

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

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

Bildsuche, Objekterkennung und Diskriminative Modelle [Image Retrieval, Object Recognition, and Discriminative Models]. - Thomas Deselaers (Ausgezeichnete Informatikdissertationen, 2008)

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

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

Randomized trees for real-time one-step face detection and recognition. - Vaishak Belle; Thomas Deselaers; Stefan Schiffer 002 (ICPR, 2008)

SVMs, Gaussian mixtures, and their generative/discriminative fusion. - Thomas Deselaers; Georg Heigold; Hermann Ney (ICPR, 2008)

Bag-of-visual-words models for adult image classification and filtering. - Thomas Deselaers; Lexi Pimenidis; Hermann Ney (ICPR, 2008)

Learning weighted distances for relevance feedback in image retrieval. - Thomas Deselaers; Roberto Paredes; Enrique Vidal 001; Hermann Ney (ICPR, 2008)

A Probabilistic Model for User Relevance Feedback on Image Retrieval. - Roberto Paredes; Thomas Deselaers; Enrique Vidal 001 (MLMI, 2008)

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

Exploring the relationship between feature and perceptual visual spaces. - Abebe Rorissa; Paul D. Clough; Thomas Deselaers (J. Assoc. Inf. Sci. Technol., 2008)

Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion. - Thomas Deselaers; Thomas Martin Deserno; Henning Müller (Pattern Recognit. Lett., 2008)

Editorial to the Special Issue on Medical Image Annotation in ImageCLEF 2007. - Thomas Deselaers; Henning Müller; Thomas Martin Deserno (Pattern Recognit. Lett., 2008)

Deformations, patches, and discriminative models for automatic annotation of medical radiographs. - Thomas Deselaers; Hermann Ney (Pattern Recognit. Lett., 2008)

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

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

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

Smoothed Disparity Maps for Continuous American Sign Language Recognition. - Philippe Dreuw; Pascal Steingrube; Thomas Deselaers; Hermann Ney (IbPRIA, 2009)

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

A Deep Learning Approach to Machine Transliteration. - Thomas Deselaers; Sasa Hasan; Oliver Bender; Hermann Ney (WMT@EACL, 2009)

Object and Concept Recognition for Image Retrieval. - Stefanie Nowak; Allan Hanbury; Thomas Deselaers (ImageCLEF, 2010)

The Medical Image Classification Task. - Tatiana Tommasi; Thomas Deselaers (ImageCLEF, 2010)

What is an object? - Bogdan Alexe; Thomas Deselaers; Vittorio Ferrari (CVPR, 2010)

Global and efficient self-similarity for object classification and detection. - Thomas Deselaers; Vittorio Ferrari (CVPR, 2010)

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

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

A Conditional Random Field for Multiple-Instance Learning. - Thomas Deselaers; Vittorio Ferrari (ICML, 2010)

Object classification by fusing SVMs and Gaussian mixtures. - Thomas Deselaers; Georg Heigold; Hermann Ney (Pattern Recognit., 2010)

Visual and semantic similarity in ImageNet. - Thomas Deselaers; Vittorio Ferrari (CVPR, 2011)

Weakly Supervised Localization and Learning with Generic Knowledge. - Thomas Deselaers; Bogdan Alexe; Vittorio Ferrari (Int. J. Comput. Vis., 2012)

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

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

GyroPen: Gyroscopes for Pen-Input With Mobile Phones. - Thomas Deselaers; Daniel Keysers; Jan Hendrik Hosang; Henry A. Rowley (IEEE Trans. Hum. Mach. Syst., 2015)

Multi-Language Online Handwriting Recognition. - Daniel Keysers; Thomas Deselaers; Henry A. Rowley; Li-Lun Wang; Victor Carbune (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Predicted Variables in Programming. - Victor Carbune; Thierry Coppey; Alexander N. Daryin; Thomas Deselaers; Nikhil Sarda; Jay Yagnik (CoRR, 2018)

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

Indylstms: Independently Recurrent LSTMS. - Pedro Gonnet; Thomas Deselaers (ICASSP, 2020)

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

The DIDI dataset: Digital Ink Diagram data. - Philippe Gervais; Thomas Deselaers; Emre Aksan; Otmar Hilliges (CoRR, 2020)

Fast multi-language LSTM-based online handwriting recognition. - Victor Carbune; Pedro Gonnet; Thomas Deselaers; Henry A. Rowley; Alexander N. Daryin; Marcos Calvo; Li-Lun Wang; Daniel Keysers; Sandro Feuz; Philippe Gervais (Int. J. Document Anal. Recognit., 2020)

Data Incubation - Synthesizing Missing Data for Handwriting Recognition. - Jen-Hao Rick Chang; Martin Bresler; Youssouf Chherawala; Adrien Delaye; Thomas Deselaers; Ryan S. Dixon; Oncel Tuzel (ICASSP, 2022)