Daniel Keysers

120 papers A* 9A 5B 9C 2Misc 1Journal 34Unranked 58
YearRankTypeTitle / Venue / Authors
2024 A* conf
On Scaling Up a Multilingual Vision and Language Model.
CVPR
Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
2024 J jnl
PaliGemma 2: A Family of Versatile VLMs for Transfer.
CoRR
Andreas Steiner, André Susano Pinto, Michael Tschannen, Daniel Keysers, Xiao Wang, Yonatan Bitton, Alexey A. Gritsenko, Matthias Minderer, Anthony Sherbondy, Shangbang Long, Siyang Qin, R. Reeve Ingle, Emanuele Bugliarello, Sahar Kazemzadeh, Thomas Mesnard, Ibrahim Alabdulmohsin, Lucas Beyer, Xiaohua Zhai
2024 J jnl
PaliGemma: A versatile 3B VLM for transfer.
CoRR
Lucas Beyer, Andreas Steiner, André Susano Pinto, Alexander Kolesnikov, Xiao Wang, Daniel Salz, Maxim Neumann, Ibrahim Alabdulmohsin, Michael Tschannen, Emanuele Bugliarello, Thomas Unterthiner, Daniel Keysers, Skanda Koppula, Fangyu Liu, Adam Grycner, Alexey A. Gritsenko, Neil Houlsby, Manoj Kumar, Keran Rong, Julian Eisenschlos, Rishabh Kabra, Matthias Bauer, Matko Bosnjak, Xi Chen, Matthias Minderer, Paul Voigtlaender, Ioana Bica, Ivana Balazevic, Joan Puigcerver, Pinelopi Papalampidi, Olivier J. Hénaff, Xi Xiong, Radu Soricut, Jeremiah Harmsen, Xiaohua Zhai
2023 J jnl
PaLI-3 Vision Language Models: Smaller, Faster, Stronger.
CoRR
Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, Daniel Salz, Xi Xiong, Daniel Vlasic, Filip Pavetic, Keran Rong, Tianli Yu, Daniel Keysers, Xiaohua Zhai, Radu Soricut
2023 J jnl
PaLI-X: On Scaling up a Multilingual Vision and Language Model.
CoRR
Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
2023 A* conf
Scaling Vision Transformers to 22 Billion Parameters.
ICML
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby
2023 J jnl
Scaling Vision Transformers to 22 Billion Parameters.
CoRR
Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
2023 A* conf
Video OWL-ViT: Temporally-consistent open-world localization in video.
ICCV
Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko, Fisher Yu, Alex Bewley, Thomas Kipf
2023 J jnl
Video OWL-ViT: Temporally-consistent open-world localization in video.
CoRR
Georg Heigold, Matthias Minderer, Alexey A. Gritsenko, Alex Bewley, Daniel Keysers, Mario Lucic, Fisher Yu, Thomas Kipf
2022 A* conf
LiT: Zero-Shot Transfer with Locked-image text Tuning.
CVPR
Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer
2021 J jnl
A Generalized Lottery Ticket Hypothesis.
CoRR
Ibrahim M. Alabdulmohsin, Larisa Markeeva, Daniel Keysers, Ilya O. Tolstikhin
2021 J jnl
Continental-Scale Building Detection from High Resolution Satellite Imagery.
CoRR
Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann N. Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cissé, John Quinn
2021 J jnl
LiT: Zero-Shot Transfer with Locked-image Text Tuning.
CoRR
Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer
2021 A* conf
MLP-Mixer: An all-MLP Architecture for Vision.
NeurIPS
Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
2021 J jnl
MLP-Mixer: An all-MLP Architecture for Vision.
CoRR
Ilya O. Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
2021 A* conf
Scalable Transfer Learning with Expert Models.
ICLR
Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby
2021 A* conf
Scaling Vision with Sparse Mixture of Experts.
NeurIPS
Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby
2021 J jnl
Scaling Vision with Sparse Mixture of Experts.
CoRR
Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby
2021 J jnl
The Impact of Reinitialization on Generalization in Convolutional Neural Networks.
CoRR
Ibrahim M. Alabdulmohsin, Hartmut Maennel, Daniel Keysers
2020 J jnl
Deep Ensembles for Low-Data Transfer Learning.
CoRR
Basil Mustafa, Carlos Riquelme, Joan Puigcerver, André Susano Pinto, Daniel Keysers, Neil Houlsby
2020 J jnl
Fast multi-language LSTM-based online handwriting recognition.
Int. J. Document Anal. Recognit.
Victor Carbune, Pedro Gonnet, Thomas Deselaers, Henry A. Rowley, Alexander N. Daryin, Marcos Calvo, Li-Lun Wang, Daniel Keysers, Sandro Feuz, Philippe Gervais
2020 A* conf
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data.
ICLR
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet
2020 J jnl
Predicting Neural Network Accuracy from Weights.
CoRR
Thomas Unterthiner, Daniel Keysers, Sylvain Gelly, Olivier Bousquet, Ilya O. Tolstikhin
2020 J jnl
Scalable Transfer Learning with Expert Models.
CoRR
Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby
2020 A* conf
What Do Neural Networks Learn When Trained With Random Labels?
NeurIPS
Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers
2020 J jnl
What Do Neural Networks Learn When Trained With Random Labels?
CoRR
Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers
2019 J jnl
Fast Multi-language LSTM-based Online Handwriting Recognition.
CoRR
Victor Carbune, Pedro Gonnet, Thomas Deselaers, Henry A. Rowley, Alexander N. Daryin, Marcos Calvo, Li-Lun Wang, Daniel Keysers, Sandro Feuz, Philippe Gervais
2019 J jnl
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data.
CoRR
Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet
2017 J jnl
Multi-Language Online Handwriting Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Daniel Keysers, Thomas Deselaers, Henry A. Rowley, Li-Lun Wang, Victor Carbune
2015 J jnl
GyroPen: Gyroscopes for Pen-Input With Mobile Phones.
IEEE Trans. Hum. Mach. Syst.
Thomas Deselaers, Daniel Keysers, Jan Hendrik Hosang, Henry A. Rowley
2009 J jnl
Response to "Projection Methods Require Black Border Removal".
IEEE Trans. Pattern Anal. Mach. Intell.
Faisal Shafait, Daniel Keysers, Thomas M. Breuel
2008 C conf
A System That Learns to Tag Videos by Watching Youtube.
ICVS
Adrian Ulges, Christian Schulze, Daniel Keysers, Thomas M. Breuel
2008 — conf
Automatic Image Tagging Using Community-Driven Online Image Databases.
Adaptive Multimedia Retrieval
Marius Renn, Joost van Beusekom, Daniel Keysers, Thomas M. Breuel
2008 B conf
Background variability modeling for statistical layout analysis.
ICPR
Faisal Shafait, Joost van Beusekom, Daniel Keysers, Thomas M. Breuel
2008 J jnl
Document cleanup using page frame detection.
Int. J. Document Anal. Recognit.
Faisal Shafait, Joost van Beusekom, Daniel Keysers, Thomas M. Breuel
2008 — conf
Efficient implementation of local adaptive thresholding techniques using integral images.
DRR
Faisal Shafait, Daniel Keysers, Thomas M. Breuel
2008 J jnl
Features for image retrieval: an experimental comparison.
Inf. Retr.
Thomas Deselaers, Daniel Keysers, Hermann Ney
2008 — conf
Identifying relevant frames in weakly labeled videos for training concept detectors.
CIVR
Adrian Ulges, Christian Schulze, Daniel Keysers, Thomas M. Breuel
2008 J jnl
Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell.
Faisal Shafait, Daniel Keysers, Thomas M. Breuel
2008 B conf
Structural Mixtures for Statistical Layout Analysis.
Document Analysis Systems
Faisal Shafait, Joost van Beusekom, Daniel Keysers, Thomas M. Breuel
2007 A conf
Bibliographic Meta-Data Extraction Using Probabilistic Finite State Transducers.
ICDAR
Martin Krämer, Hagen Kaprykowsky, Daniel Keysers, Thomas M. Breuel
2007 J jnl
Comparison and Combination of State-of-the-art Techniques for Handwritten Character Recognition: Topping the MNIST Benchmark
CoRR
Daniel Keysers
2007 J jnl
Deformation Models for Image Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Daniel Keysers, Thomas Deselaers, Christian Gollan, Hermann Ney
2007 — conf
Document image zone classification - a simple high-performance approach.
VISAPP (2)
Daniel Keysers, Faisal Shafait, Thomas M. Breuel
2007 A conf
Example-Based Logical Labeling of Document Title Page Images.
ICDAR
Joost van Beusekom, Daniel Keysers, Faisal Shafait, Thomas M. Breuel
2007 — conf
GREC 2007 Arc Segmentation Contest: Evaluation of Four Participating Algorithms.
GREC
Faisal Shafait, Daniel Keysers, Thomas M. Breuel
2007 A conf
Improving accessibility of html documents bygenerating image-tags in a proxy.
ASSETS
Daniel Keysers, Marius Renn, Thomas M. Breuel
2007 — conf
Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space.
DAGM-Symposium
Adrian Ulges, Christoph H. Lampert, Daniel Keysers, Thomas M. Breuel
2007 — conf
Page Frame Detection for Marginal Noise Removal from Scanned Documents.
SCIA
Faisal Shafait, Joost van Beusekom, Daniel Keysers, Thomas M. Breuel
2006 — conf
Color image dequantization by constrained diffusion.
Color Imaging: Processing, Hardcopy, and Applications
Daniel Keysers, Christoph H. Lampert, Thomas M. Breuel
2006 — conf
Distance Measures for Layout-Based Document Image Retrieval.
DIAL
Joost van Beusekom, Daniel Keysers, Faisal Shafait, Thomas M. Breuel
2006 — —
Modeling of image variability for recognition.
Daniel Keysers
2006 — ch.
Modeling of image variability for recognition.
Ausgezeichnete Informatikdissertationen
Daniel Keysers
2006 B conf
Performance Comparison of Six Algorithms for Page Segmentation.
Document Analysis Systems
Faisal Shafait, Daniel Keysers, Thomas M. Breuel
2006 — conf
Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images.
ICPR (1)
Faisal Shafait, Daniel Keysers, Thomas M. Breuel
2006 — conf
Sparse Patch-Histograms for Object Classification in Cluttered Images.
DAGM-Symposium
Thomas Deselaers, Andre Hegerath, Daniel Keysers, Hermann Ney
2006 — conf
Spatiogram-Based Shot Distances for Video Retrieval.
TRECVID
Adrian Ulges, Christoph Lampert, Daniel Keysers
2006 — conf
Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition.
FGR
Philippe Dreuw, Thomas Deselaers, David Rybach, Daniel Keysers, Hermann Ney
2005 — conf
Appearance-Based Recognition of Words in American Sign Language.
IbPRIA (1)
Morteza Zahedi, Daniel Keysers, Hermann Ney
2005 — conf
Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition.
DAGM-Symposium
Morteza Zahedi, Daniel Keysers, Thomas Deselaers, Hermann Ney
2005 — conf
Discriminative Training for Object Recognition Using Image Patches.
CVPR (2)
Thomas Deselaers, Daniel Keysers, Hermann Ney
2005 — conf
Erweiterung eines holistischen statistischen Bilderkenners zur Verwendung von mehreren Merkmalen.
Informatiktage
David Rybach, Daniel Keysers, Hermann Ney
2005 — conf
FIRE in ImageCLEF 2005: Combining Content-Based Image Retrieval with Textual Information Retrieval.
CLEF
Thomas Deselaers, Tobias Weyand, Daniel Keysers, Wolfgang Macherey, Hermann Ney
2005 — conf
FIRE in ImageCLEF 2005: Combining Content-based Image Retrieval with Textual Information Retrieval.
CLEF (Working Notes)
Thomas Deselaers, Tobias Weyand, Daniel Keysers, Wolfgang Macherey, Hermann Ney
2005 — conf
Gesture Recognition Using Image Comparison Methods.
Gesture Workshop
Philippe Dreuw, Daniel Keysers, Thomas Deselaers, Hermann Ney
2005 — conf
GfKl Data Mining Competition 2005: Predicting Liquidity Crises of Companies.
GfKl
Jens Strackeljan, Roland Jonscher, Sigurd Prieur, David Vogel, Thomas Deselaers, Daniel Keysers, Arne Mauser, Ilja Bezrukov, Andre Hegerath
2005 — conf
Improving a Discriminative Approach to Object Recognition Using Image Patches.
DAGM-Symposium
Thomas Deselaers, Daniel Keysers, Hermann Ney
2005 — conf
Optimal Line and Arc Detection on Run-Length Representations.
GREC
Daniel Keysers, Thomas M. Breuel
2005 — conf
Predicting Customer Behavior using Naive Bayes and Maximum Entrop.
Informatiktage
Arne Mauser, Ilja Bezrukov, Thomas Deselaers, Daniel Keysers
2005 — conf
Pronunciation Clustering and Modeling of Variability for Appearance-Based Sign Language Recognition.
Gesture Workshop
Morteza Zahedi, Daniel Keysers, Hermann Ney
2005 — conf
The 2005 PASCAL Visual Object Classes Challenge.
MLCW
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, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom 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
2004 J jnl
Adaptation in Statistical Pattern Recognition Using Tangent Vectors.
IEEE Trans. Pattern Anal. Mach. Intell.
Daniel Keysers, Wolfgang Macherey, Hermann Ney, Jörg Dahmen
2004 — conf
Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems.
ICPR (2)
Thomas Deselaers, Daniel Keysers, Hermann Ney
2004 — conf
Classification of Medical Images using Non-linear Distortion Models.
Bildverarbeitung für die Medizin
Daniel Keysers, Christian Gollan, Hermann Ney
2004 — conf
Enhancements for Local Feature Based Image Classification.
ICPR (1)
Tobias Kölsch, Daniel Keysers, Hermann Ney, Roberto Paredes
2004 — conf
FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation.
CLEF (Working Notes)
Thomas Deselaers, Daniel Keysers, Hermann Ney
2004 — conf
FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation.
CLEF
Thomas Deselaers, Daniel Keysers, Hermann Ney
2004 — conf
Features for Image Retrieval: A Quantitative Comparison.
DAGM-Symposium
Thomas Deselaers, Daniel Keysers, Hermann Ney
2004 — conf
IRMA - Content-Based Image Retrieval in Medical Applications.
MedInfo
Thomas Martin Lehmann, Mark Oliver Güld, Christian Thies, Bartosz Plodowski, Daniel Keysers, Bastian Ott, Henning Schubert
2004 J jnl
Integrated Handwriting Recognition And Interpretation Using Finite-State Models.
Int. J. Pattern Recognit. Artif. Intell.
Alejandro H. Toselli, Alfons Juan, Jorge González, Ismael Salvador, Enrique Vidal, Francisco Casacuberta, Daniel Keysers, Hermann Ney
2004 — conf
Linear Discriminant Analysis and Discriminative Log-linear Modeling.
ICPR (1)
Daniel Keysers, Hermann Ney
2004 — conf
Local Context in Non-Linear Deformation Models for Handwritten Character Recognition.
ICPR (4)
Daniel Keysers, Christian Gollan, Hermann Ney
2004 — conf
Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching.
DAGM-Symposium
Daniel Keysers, Thomas Deselaers, Hermann Ney
2004 B conf
Similarity of Medical Images Computed from Global Feature Vectors for Content-Based Retrieval.
KES
Thomas Martin Lehmann, Mark Oliver Güld, Daniel Keysers, Thomas Deselaers, Henning Schubert, Berthold B. Wein, Klaus Spitzer
2003 B conf
Automatic detection of the view position of chest radiographs.
Image Processing
Thomas Martin Lehmann, Mark Oliver Güld, Daniel Keysers, Henning Schubert, Andrea Wenning, Berthold B. Wein
2003 — conf
Automatische Kategorisierung von medizinischem Bildmaterial in einen multiaxialen monohierarchischen Code.
Bildverarbeitung für die Medizin
Mark Oliver Güld, Henning Schubert, Marcel Leisten, Bartosz Plodowski, Benedikt Fischer, Daniel Keysers, Thomas Martin Lehmann
2003 Misc conf
Comparison of Log-linear Models and Weighted Dissimilarity Measures.
IbPRIA
Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney
2003 J jnl
Determining the View of Chest Radiographs.
J. Digit. Imaging
Thomas Martin Lehmann, Mark Oliver Güld, Daniel Keysers, Henning Schubert, Michael Kohnen, Berthold B. Wein
2003 J jnl
Elastic image matching is NP-complete.
Pattern Recognit. Lett.
Daniel Keysers, Walter Unger
2003 B conf
Hierarchical feature clustering for content-based retrieval in medical image databases.
Image Processing
Christian Thies, Adam Malik, Daniel Keysers, Michael Kohnen, Benedikt Fischer, Thomas Martin Lehmann
2003 — conf
Local Representations for Multi-object Recognition.
DAGM-Symposium
Thomas Deselaers, Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney
2003 J jnl
Matching training and test data distributions for robust speech recognition.
Speech Commun.
Sirko Molau, Daniel Keysers, Hermann Ney
2003 — conf
Modulares Design von webbasierten Benutzerschnittstellen für inhaltsbasierte Zugriffe auf medizinische Bilddaten.
Bildverarbeitung für die Medizin
Bartosz Plodowski, Mark Oliver Güld, Henning Schubert, Daniel Keysers, Thomas Martin Lehmann
2003 C conf
Platform for distributed image processing and image retrieval.
VCIP
Mark Oliver Güld, Christian Thies, Benedikt Fischer, Daniel Keysers, Berthold B. Wein, Thomas Martin Lehmann
2003 J jnl
Statistical framework for model-based image retrieval in medical applications.
J. Electronic Imaging
Daniel Keysers, Jörg Dahmen, Hermann Ney, Berthold B. Wein, Thomas Martin Lehmann
2003 — conf
Synthese von regionen- und kantenorientierter parameterfreien Erzeugung von Multiskalengraphen mittels Region Growing.
Bildverarbeitung für die Medizin
Christian Thies, Michael Kohnen, Daniel Keysers, Thomas Martin Lehmann
2003 — conf
Training and Recognition of Complex Scenes Using a Holistic Statistical Model.
DAGM-Symposium
Daniel Keysers, Michael Motter, Thomas Deselaers, Hermann Ney
2002 — conf
A Distributed Architecture for Content-Based Image Retrieval in Medical Applications.
PRIS
Mark Oliver Güld, Berthold B. Wein, Daniel Keysers, Christian Thies, Michael Kohnen, Henning Schubert, Thomas Martin Lehmann
2002 — conf
A monohierarchical multiaxial classification code for medical images in content-based retrieval.
ISBI
Thomas Martin Lehmann, Berthold B. Wein, Daniel Keysers, Michael Kohnen, Henning Schubert
2002 — conf
An Evaluation of the WPE Algorithm Using Tangent Distance.
ICPR (4)
Roberto Paredes Palacios, Enrique Vidal, Daniel Keysers
2002 B conf
Automatic localization and delineation of collimation fields in digital and film-based radiographs.
Image Processing
Thomas Martin Lehmann, Sascha Goudarzi, Nick I. Linnenbrügger, Daniel Keysers, Berthold B. Wein
2002 — conf
Classification of Medical Images Using local Representations.
Bildverarbeitung für die Medizin
Roberto Paredes, Daniel Keysers, Thomas Martin Lehmann, Berthold B. Wein, Hermann Ney, Enrique Vidal
2002 — conf
Combination of Tangent Vectors and Local Representations for Handwritten Digit Recognition.
SSPR/SPR
Daniel Keysers, Roberto Paredes, Hermann Ney, Enrique Vidal
2002 — conf
Eine verteilte Systemarchitektur für IRMA: (Image Retrieval in Medical Applications).
Bildverarbeitung für die Medizin
Mark Oliver Güld, Jörg Bredno, Daniel Keysers, Michael Kohnen, Christian Thies, Henning Schubert, Berthold B. Wein, Thomas Martin Lehmann
2002 A conf
Enhanced histogram normalization in the acoustic feature space.
INTERSPEECH
Sirko Molau, Florian Hilger, Daniel Keysers, Hermann Ney
2002 — conf
Lokalisation und Delineation des Kollimatorfeldes in digitalen und Film-basierten röntgenbildern.
Bildverarbeitung für die Medizin
Thomas Martin Lehmann, Sascha Goudarzi, Nick I. Linnenbrügger, Daniel Keysers, Berthold B. Wein
2002 — conf
Maximum Entropy and Gaussian Models for Image Object Recognition.
DAGM-Symposium
Daniel Keysers, Franz Josef Och, Hermann Ney
2002 — conf
Parameter Estimation for Automatic Dose Control in Radioscopy.
Bildverarbeitung für die Medizin
Daniel Keysers, Sami Celik, Henning Braess, Jörg Dahmen, Hermann Ney
2002 — conf
Tangent Distance Kernels for Support Vector Machines.
ICPR (2)
Bernard Haasdonk, Daniel Keysers
2001 — conf
An Automatic Approach to Invariant Radiograph Classification.
Bildverarbeitung für die Medizin
Jörg Dahmen, Daniel Keysers, Michael Motter, Hermann Ney, Thomas Martin Lehmann, Berthold B. Wein
2001 — conf
Combined Classification of Handwritten Digits Using the 'Virtual Test Sample Method'.
Multiple Classifier Systems
Jörg Dahmen, Daniel Keysers, Hermann Ney
2001 A conf
Improving automatic speech recognition using tangent distance.
INTERSPEECH
Wolfgang Macherey, Daniel Keysers, Jörg Dahmen, Hermann Ney
2001 — conf
Invariant Classification of Red Blood Cells: A Comparison of Different Approaches.
Bildverarbeitung für die Medizin
Daniel Keysers, Jörg Dahmen, Hermann Ney
2001 — conf
Learning of Variability for Invariant Statistical Pattern Recognition.
ECML
Daniel Keysers, Wolfgang Macherey, Jörg Dahmen, Hermann Ney
2001 J jnl
Statistical Image Object Recognition using Mixture Densities.
J. Math. Imaging Vis.
Jörg Dahmen, Daniel Keysers, Hermann Ney, Mark Oliver Güld
2000 — conf
A Probabilistic View on Tangent Distance.
DAGM-Symposium
Daniel Keysers, Jörg Dahmen, Hermann Ney
2000 — conf
Classification of Radiographs in the 'Image Retrieval in Medical Applications' - System.
RIAO
Jörg Dahmen, Thomas Theiner, Daniel Keysers, Thomas Martin Lehmann, Berthold B. Wein
2000 B conf
Experiments with an Extended Tangent Distance.
ICPR
Daniel Keysers, Jörg Dahmen, Thomas Theiner, Hermann Ney
2000 B conf
Invariant Image Object Recognition Using Mixture Densities.
ICPR
Jörg Dahmen, Daniel Keysers, Mark Oliver Güld, Hermann Ney
2000 — conf
Structured Covariance Matrices for Statistical Image Object Recognition.
DAGM-Symposium
Jörg Dahmen, Daniel Keysers, Michael Pitz, Hermann Ney