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2020 – today
- 2024
[c84]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:
On Scaling Up a Multilingual Vision and Language Model. CVPR 2024: 14432-14444- [i18]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:
PaliGemma: A versatile 3B VLM for transfer. CoRR abs/2407.07726 (2024) - 2023
- [c83]Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko, Fisher Yu, Alex Bewley, Thomas Kipf:
Video OWL-ViT: Temporally-consistent open-world localization in video. ICCV 2023: 13756-13765 - [c82]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:
Scaling Vision Transformers to 22 Billion Parameters. ICML 2023: 7480-7512 - [i17]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:
Scaling Vision Transformers to 22 Billion Parameters. CoRR abs/2302.05442 (2023) - [i16]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:
PaLI-X: On Scaling up a Multilingual Vision and Language Model. CoRR abs/2305.18565 (2023) - [i15]Georg Heigold, Matthias Minderer, Alexey A. Gritsenko, Alex Bewley, Daniel Keysers, Mario Lucic, Fisher Yu, Thomas Kipf:
Video OWL-ViT: Temporally-consistent open-world localization in video. CoRR abs/2308.11093 (2023) - [i14]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:
PaLI-3 Vision Language Models: Smaller, Faster, Stronger. CoRR abs/2310.09199 (2023) - 2022
- [c81]Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer:
LiT: Zero-Shot Transfer with Locked-image text Tuning. CVPR 2022: 18102-18112 - 2021
- [c80]Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby:
Scalable Transfer Learning with Expert Models. ICLR 2021 - [c79]Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby:
Scaling Vision with Sparse Mixture of Experts. NeurIPS 2021: 8583-8595 - [c78]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:
MLP-Mixer: An all-MLP Architecture for Vision. NeurIPS 2021: 24261-24272 - [i13]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:
MLP-Mixer: An all-MLP Architecture for Vision. CoRR abs/2105.01601 (2021) - [i12]Carlos Riquelme, Joan Puigcerver, Basil Mustafa, Maxim Neumann, Rodolphe Jenatton, André Susano Pinto, Daniel Keysers, Neil Houlsby:
Scaling Vision with Sparse Mixture of Experts. CoRR abs/2106.05974 (2021) - [i11]Ibrahim M. Alabdulmohsin, Larisa Markeeva, Daniel Keysers, Ilya O. Tolstikhin:
A Generalized Lottery Ticket Hypothesis. CoRR abs/2107.06825 (2021) - [i10]Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann N. Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cissé, John Quinn:
Continental-Scale Building Detection from High Resolution Satellite Imagery. CoRR abs/2107.12283 (2021) - [i9]Ibrahim M. Alabdulmohsin, Hartmut Maennel, Daniel Keysers:
The Impact of Reinitialization on Generalization in Convolutional Neural Networks. CoRR abs/2109.00267 (2021) - [i8]Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer:
LiT: Zero-Shot Transfer with Locked-image Text Tuning. CoRR abs/2111.07991 (2021) - 2020
- [j15]Victor Carbune, Pedro Gonnet, Thomas Deselaers, Henry A. Rowley, Alexander N. Daryin, Marcos Calvo, Li-Lun Wang, Daniel Keysers, Sandro Feuz, Philippe Gervais:
Fast multi-language LSTM-based online handwriting recognition. Int. J. Document Anal. Recognit. 23(2): 89-102 (2020) - [c77]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:
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. ICLR 2020 - [c76]Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers:
What Do Neural Networks Learn When Trained With Random Labels? NeurIPS 2020 - [i7]Thomas Unterthiner, Daniel Keysers, Sylvain Gelly, Olivier Bousquet, Ilya O. Tolstikhin:
Predicting Neural Network Accuracy from Weights. CoRR abs/2002.11448 (2020) - [i6]Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers:
What Do Neural Networks Learn When Trained With Random Labels? CoRR abs/2006.10455 (2020) - [i5]Joan Puigcerver, Carlos Riquelme, Basil Mustafa, Cédric Renggli, André Susano Pinto, Sylvain Gelly, Daniel Keysers, Neil Houlsby:
Scalable Transfer Learning with Expert Models. CoRR abs/2009.13239 (2020) - [i4]Basil Mustafa, Carlos Riquelme, Joan Puigcerver, André Susano Pinto, Daniel Keysers, Neil Houlsby:
Deep Ensembles for Low-Data Transfer Learning. CoRR abs/2010.06866 (2020)
2010 – 2019
- 2019
- [i3]Victor Carbune, Pedro Gonnet, Thomas Deselaers, Henry A. Rowley, Alexander N. Daryin, Marcos Calvo, Li-Lun Wang, Daniel Keysers, Sandro Feuz, Philippe Gervais:
Fast Multi-language LSTM-based Online Handwriting Recognition. CoRR abs/1902.10525 (2019) - [i2]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:
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. CoRR abs/1912.09713 (2019) - 2017
- [j14]Daniel Keysers, Thomas Deselaers, Henry A. Rowley, Li-Lun Wang, Victor Carbune:
Multi-Language Online Handwriting Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1180-1194 (2017) - 2015
- [j13]Thomas Deselaers, Daniel Keysers, Jan Hendrik Hosang, Henry A. Rowley:
GyroPen: Gyroscopes for Pen-Input With Mobile Phones. IEEE Trans. Hum. Mach. Syst. 45(2): 263-271 (2015)
2000 – 2009
- 2009
- [j12]Faisal Shafait, Daniel Keysers, Thomas M. Breuel:
Response to "Projection Methods Require Black Border Removal". IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 763-764 (2009) - 2008
- [j11]Faisal Shafait, Joost van Beusekom, Daniel Keysers, Thomas M. Breuel:
Document cleanup using page frame detection. Int. J. Document Anal. Recognit. 11(2): 81-96 (2008) - [j10]Thomas Deselaers, Daniel Keysers, Hermann Ney:
Features for image retrieval: an experimental comparison. Inf. Retr. 11(2): 77-107 (2008) - [j9]Faisal Shafait, Daniel Keysers, Thomas M. Breuel:
Performance Evaluation and Benchmarking of Six-Page Segmentation Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 30(6): 941-954 (2008) - [c75]Marius Renn, Joost van Beusekom, Daniel Keysers, Thomas M. Breuel:
Automatic Image Tagging Using Community-Driven Online Image Databases. Adaptive Multimedia Retrieval 2008: 112-126 - [c74]Adrian Ulges, Christian Schulze, Daniel Keysers, Thomas M. Breuel:
Identifying relevant frames in weakly labeled videos for training concept detectors. CIVR 2008: 9-16 - [c73]Faisal Shafait, Joost van Beusekom, Daniel Keysers, Thomas M. Breuel:
Structural Mixtures for Statistical Layout Analysis. Document Analysis Systems 2008: 415-422 - [c72]Faisal Shafait, Daniel Keysers, Thomas M. Breuel:
Efficient implementation of local adaptive thresholding techniques using integral images. DRR 2008: 681510 - [c71]Faisal Shafait, Joost van Beusekom, Daniel Keysers, Thomas M. Breuel:
Background variability modeling for statistical layout analysis. ICPR 2008: 1-4 - [c70]Adrian Ulges, Christian Schulze, Daniel Keysers, Thomas M. Breuel:
A System That Learns to Tag Videos by Watching Youtube. ICVS 2008: 415-424 - 2007
- [j8]Daniel Keysers, Thomas Deselaers, Christian Gollan, Hermann Ney:
Deformation Models for Image Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1422-1435 (2007) - [c69]Daniel Keysers, Marius Renn, Thomas M. Breuel:
Improving accessibility of html documents bygenerating image-tags in a proxy. ASSETS 2007: 249-250 - [c68]Adrian Ulges, Christoph H. Lampert, Daniel Keysers, Thomas M. Breuel:
Optimal Dominant Motion Estimation Using Adaptive Search of Transformation Space. DAGM-Symposium 2007: 204-213 - [c67]Faisal Shafait, Daniel Keysers, Thomas M. Breuel:
GREC 2007 Arc Segmentation Contest: Evaluation of Four Participating Algorithms. GREC 2007: 310-320 - [c66]Martin Krämer, Hagen Kaprykowsky, Daniel Keysers, Thomas M. Breuel:
Bibliographic Meta-Data Extraction Using Probabilistic Finite State Transducers. ICDAR 2007: 609-613 - [c65]Joost van Beusekom, Daniel Keysers, Faisal Shafait, Thomas M. Breuel:
Example-Based Logical Labeling of Document Title Page Images. ICDAR 2007: 919-923 - [c64]Faisal Shafait, Joost van Beusekom, Daniel Keysers, Thomas M. Breuel:
Page Frame Detection for Marginal Noise Removal from Scanned Documents. SCIA 2007: 651-660 - [c63]Daniel Keysers, Faisal Shafait, Thomas M. Breuel:
Document image zone classification - a simple high-performance approach. VISAPP (2) 2007: 44-51 - [i1]Daniel Keysers:
Comparison and Combination of State-of-the-art Techniques for Handwritten Character Recognition: Topping the MNIST Benchmark. CoRR abs/0710.2231 (2007) - 2006
- [b1]Daniel Keysers:
Modeling of image variability for recognition. Technische Hochschule Aachen, 2006, pp. I, 1-214 - [c62]Daniel Keysers, Christoph H. Lampert, Thomas M. Breuel:
Color image dequantization by constrained diffusion. Color Imaging: Processing, Hardcopy, and Applications 2006: 605803 - [c61]Thomas Deselaers, Andre Hegerath, Daniel Keysers, Hermann Ney:
Sparse Patch-Histograms for Object Classification in Cluttered Images. DAGM-Symposium 2006: 202-211 - [c60]Faisal Shafait, Daniel Keysers, Thomas M. Breuel:
Performance Comparison of Six Algorithms for Page Segmentation. Document Analysis Systems 2006: 368-379 - [c59]Joost van Beusekom, Daniel Keysers, Faisal Shafait, Thomas M. Breuel:
Distance Measures for Layout-Based Document Image Retrieval. DIAL 2006: 232-242 - [c58]Philippe Dreuw, Thomas Deselaers, David Rybach, Daniel Keysers, Hermann Ney:
Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition. FGR 2006: 293-298 - [c57]Faisal Shafait, Daniel Keysers, Thomas M. Breuel:
Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images. ICPR (1) 2006: 872-875 - [c56]Adrian Ulges, Christoph Lampert, Daniel Keysers:
Spatiogram-Based Shot Distances for Video Retrieval. TRECVID 2006 - [p1]Daniel Keysers:
Modeling of image variability for recognition. Ausgezeichnete Informatikdissertationen 2006: 119-128 - 2005
- [c55]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 - [c54]Thomas Deselaers, Tobias Weyand, Daniel Keysers, Wolfgang Macherey, Hermann Ney:
FIRE in ImageCLEF 2005: Combining Content-based Image Retrieval with Textual Information Retrieval. CLEF (Working Notes) 2005 - [c53]Thomas Deselaers, Daniel Keysers, Hermann Ney:
Discriminative Training for Object Recognition Using Image Patches. CVPR (2) 2005: 157-162 - [c52]Thomas Deselaers, Daniel Keysers, Hermann Ney:
Improving a Discriminative Approach to Object Recognition Using Image Patches. DAGM-Symposium 2005: 326-333 - [c51]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 - [c50]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 - [c49]Daniel Keysers, Thomas M. Breuel:
Optimal Line and Arc Detection on Run-Length Representations. GREC 2005: 369-380 - [c48]Morteza Zahedi, Daniel Keysers, Hermann Ney:
Pronunciation Clustering and Modeling of Variability for Appearance-Based Sign Language Recognition. Gesture Workshop 2005: 68-79 - [c47]Philippe Dreuw, Daniel Keysers, Thomas Deselaers, Hermann Ney:
Gesture Recognition Using Image Comparison Methods. Gesture Workshop 2005: 124-128 - [c46]Morteza Zahedi, Daniel Keysers, Hermann Ney:
Appearance-Based Recognition of Words in American Sign Language. IbPRIA (1) 2005: 511-519 - [c45]Arne Mauser, Ilja Bezrukov, Thomas Deselaers, Daniel Keysers:
Predicting Customer Behavior using Naive Bayes and Maximum Entrop. Informatiktage 2005: 143-146 - [c44]David Rybach, Daniel Keysers, Hermann Ney:
Erweiterung eines holistischen statistischen Bilderkenners zur Verwendung von mehreren Merkmalen. Informatiktage 2005: 155-158 - [c43]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:
The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176 - 2004
- [j7]Alejandro H. Toselli, Alfons Juan, Jorge González, Ismael Salvador, Enrique Vidal, Francisco Casacuberta, Daniel Keysers, Hermann Ney:
Integrated Handwriting Recognition And Interpretation Using Finite-State Models. Int. J. Pattern Recognit. Artif. Intell. 18(4): 519-539 (2004) - [j6]Daniel Keysers, Wolfgang Macherey, Hermann Ney, Jörg Dahmen:
Adaptation in Statistical Pattern Recognition Using Tangent Vectors. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 269-274 (2004) - [c42]Daniel Keysers, Christian Gollan, Hermann Ney:
Classification of Medical Images using Non-linear Distortion Models. Bildverarbeitung für die Medizin 2004: 366-370 - [c41]Thomas Deselaers, Daniel Keysers, Hermann Ney:
FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation. CLEF (Working Notes) 2004 - [c40]Thomas Deselaers, Daniel Keysers, Hermann Ney:
FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation. CLEF 2004: 688-698 - [c39]Daniel Keysers, Thomas Deselaers, Hermann Ney:
Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching. DAGM-Symposium 2004: 154-162 - [c38]Thomas Deselaers, Daniel Keysers, Hermann Ney:
Features for Image Retrieval: A Quantitative Comparison. DAGM-Symposium 2004: 228-236 - [c37]Daniel Keysers, Hermann Ney:
Linear Discriminant Analysis and Discriminative Log-linear Modeling. ICPR (1) 2004: 156-159 - [c36]Tobias Kölsch, Daniel Keysers, Hermann Ney, Roberto Paredes:
Enhancements for Local Feature Based Image Classification. ICPR (1) 2004: 248-251 - [c35]Thomas Deselaers, Daniel Keysers, Hermann Ney:
Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems. ICPR (2) 2004: 505-508 - [c34]Daniel Keysers, Christian Gollan, Hermann Ney:
Local Context in Non-Linear Deformation Models for Handwritten Character Recognition. ICPR (4) 2004: 511-514 - [c33]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 - [c32]Thomas Martin Lehmann, Mark Oliver Güld, Christian Thies, Bartosz Plodowski, Daniel Keysers, Bastian Ott, Henning Schubert:
IRMA - Content-Based Image Retrieval in Medical Applications. MedInfo 2004: 842-846 - 2003
- [j5]Thomas Martin Lehmann, Mark Oliver Güld, Daniel Keysers, Henning Schubert, Michael Kohnen, Berthold B. Wein:
Determining the View of Chest Radiographs. J. Digit. Imaging 16(3): 280-291 (2003) - [j4]Daniel Keysers, Jörg Dahmen, Hermann Ney, Berthold B. Wein, Thomas Martin Lehmann:
Statistical framework for model-based image retrieval in medical applications. J. Electronic Imaging 12(1): 59-68 (2003) - [j3]Daniel Keysers, Walter Unger:
Elastic image matching is NP-complete. Pattern Recognit. Lett. 24(1-3): 445-453 (2003) - [j2]Sirko Molau, Daniel Keysers, Hermann Ney:
Matching training and test data distributions for robust speech recognition. Speech Commun. 41(4): 579-601 (2003) - [c31]Christian Thies, Michael Kohnen, Daniel Keysers, Thomas Martin Lehmann:
Synthese von regionen- und kantenorientierter parameterfreien Erzeugung von Multiskalengraphen mittels Region Growing. Bildverarbeitung für die Medizin 2003: 151-155 - [c30]Bartosz Plodowski, Mark Oliver Güld, Henning Schubert, Daniel Keysers, Thomas Martin Lehmann:
Modulares Design von webbasierten Benutzerschnittstellen für inhaltsbasierte Zugriffe auf medizinische Bilddaten. Bildverarbeitung für die Medizin 2003: 383-387 - [c29]Mark Oliver Güld, Henning Schubert, Marcel Leisten, Bartosz Plodowski, Benedikt Fischer, Daniel Keysers, Thomas Martin Lehmann:
Automatische Kategorisierung von medizinischem Bildmaterial in einen multiaxialen monohierarchischen Code. Bildverarbeitung für die Medizin 2003: 388-392 - [c28]Daniel Keysers, Michael Motter, Thomas Deselaers, Hermann Ney:
Training and Recognition of Complex Scenes Using a Holistic Statistical Model. DAGM-Symposium 2003: 52-59 - [c27]Thomas Deselaers, Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney:
Local Representations for Multi-object Recognition. DAGM-Symposium 2003: 305-312 - [c26]Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney:
Comparison of Log-linear Models and Weighted Dissimilarity Measures. IbPRIA 2003: 370-377 - [c25]Thomas Martin Lehmann, Mark Oliver Güld, Daniel Keysers, Henning Schubert, Andrea Wenning, Berthold B. Wein:
Automatic detection of the view position of chest radiographs. Medical Imaging: Image Processing 2003 - [c24]Christian Thies, Adam Malik, Daniel Keysers, Michael Kohnen, Benedikt Fischer, Thomas Martin Lehmann:
Hierarchical feature clustering for content-based retrieval in medical image databases. Medical Imaging: Image Processing 2003 - [c23]Mark Oliver Güld, Christian Thies, Benedikt Fischer, Daniel Keysers, Berthold B. Wein, Thomas Martin Lehmann:
Platform for distributed image processing and image retrieval. VCIP 2003: 1109-1120 - 2002
- [c22]Thomas Martin Lehmann, Sascha Goudarzi, Nick I. Linnenbrügger, Daniel Keysers, Berthold B. Wein:
Lokalisation und Delineation des Kollimatorfeldes in digitalen und Film-basierten röntgenbildern. Bildverarbeitung für die Medizin 2002: 51-54 - [c21]Roberto Paredes, Daniel Keysers, Thomas Martin Lehmann, Berthold B. Wein, Hermann Ney, Enrique Vidal:
Classification of Medical Images Using local Representations. Bildverarbeitung für die Medizin 2002: 171-174 - [c20]Mark Oliver Güld, Jörg Bredno, Daniel Keysers, Michael Kohnen, Christian Thies, Henning Schubert, Berthold B. Wein, Thomas Martin Lehmann:
Eine verteilte Systemarchitektur für IRMA: (Image Retrieval in Medical Applications). Bildverarbeitung für die Medizin 2002: 175-178 - [c19]Daniel Keysers, Sami Celik, Henning Braess, Jörg Dahmen, Hermann Ney:
Parameter Estimation for Automatic Dose Control in Radioscopy. Bildverarbeitung für die Medizin 2002: 279-282 - [c18]Daniel Keysers, Franz Josef Och, Hermann Ney:
Maximum Entropy and Gaussian Models for Image Object Recognition. DAGM-Symposium 2002: 498-506 - [c17]Roberto Paredes Palacios, Enrique Vidal, Daniel Keysers:
An Evaluation of the WPE Algorithm Using Tangent Distance. ICPR (4) 2002: 48-51 - [c16]Bernard Haasdonk, Daniel Keysers:
Tangent Distance Kernels for Support Vector Machines. ICPR (2) 2002: 864-868 - [c15]Sirko Molau, Florian Hilger, Daniel Keysers, Hermann Ney:
Enhanced histogram normalization in the acoustic feature space. INTERSPEECH 2002: 1421-1424 - [c14]Thomas Martin Lehmann, Berthold B. Wein, Daniel Keysers, Michael Kohnen, Henning Schubert:
A monohierarchical multiaxial classification code for medical images in content-based retrieval. ISBI 2002: 313-316 - [c13]Thomas Martin Lehmann, Sascha Goudarzi, Nick I. Linnenbrügger, Daniel Keysers, Berthold B. Wein:
Automatic localization and delineation of collimation fields in digital and film-based radiographs. Medical Imaging: Image Processing 2002 - [c12]Mark Oliver Güld, Berthold B. Wein, Daniel Keysers, Christian Thies, Michael Kohnen, Henning Schubert, Thomas Martin Lehmann:
A Distributed Architecture for Content-Based Image Retrieval in Medical Applications. PRIS 2002: 299-314 - [c11]Daniel Keysers, Roberto Paredes, Hermann Ney, Enrique Vidal:
Combination of Tangent Vectors and Local Representations for Handwritten Digit Recognition. SSPR/SPR 2002: 538-547 - 2001
- [j1]Jörg Dahmen, Daniel Keysers, Hermann Ney, Mark Oliver Güld:
Statistical Image Object Recognition using Mixture Densities. J. Math. Imaging Vis. 14(3): 285-296 (2001) - [c10]Jörg Dahmen, Daniel Keysers, Michael Motter, Hermann Ney, Thomas Martin Lehmann, Berthold B. Wein:
An Automatic Approach to Invariant Radiograph Classification. Bildverarbeitung für die Medizin 2001: 337-341 - [c9]Daniel Keysers, Jörg Dahmen, Hermann Ney:
Invariant Classification of Red Blood Cells: A Comparison of Different Approaches. Bildverarbeitung für die Medizin 2001: 367-371 - [c8]Daniel Keysers, Wolfgang Macherey, Jörg Dahmen, Hermann Ney:
Learning of Variability for Invariant Statistical Pattern Recognition. ECML 2001: 263-275 - [c7]Wolfgang Macherey, Daniel Keysers, Jörg Dahmen, Hermann Ney:
Improving automatic speech recognition using tangent distance. INTERSPEECH 2001: 1825-1828 - [c6]Jörg Dahmen, Daniel Keysers, Hermann Ney:
Combined Classification of Handwritten Digits Using the 'Virtual Test Sample Method'. Multiple Classifier Systems 2001: 109-118 - 2000
- [c5]Jörg Dahmen, Daniel Keysers, Michael Pitz, Hermann Ney:
Structured Covariance Matrices for Statistical Image Object Recognition. DAGM-Symposium 2000: 99-106 - [c4]Daniel Keysers, Jörg Dahmen, Hermann Ney:
A Probabilistic View on Tangent Distance. DAGM-Symposium 2000: 107-114 - [c3]Daniel Keysers, Jörg Dahmen, Thomas Theiner, Hermann Ney:
Experiments with an Extended Tangent Distance. ICPR 2000: 2038-2042 - [c2]Jörg Dahmen, Daniel Keysers, Mark Oliver Güld, Hermann Ney:
Invariant Image Object Recognition Using Mixture Densities. ICPR 2000: 2614-2617 - [c1]Jörg Dahmen, Thomas Theiner, Daniel Keysers, Thomas Martin Lehmann, Berthold B. Wein:
Classification of Radiographs in the 'Image Retrieval in Medical Applications' - System. RIAO 2000: 551-566
Coauthor Index
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