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Thomas Deselaers: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Thomas Deselaers, Daniel Keysers, Hermann Ney
    FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation. [Citation Graph (0, 0)][DBLP]
    CLEF, 2004, pp:688-698 [Conf]
  2. Thomas Deselaers, Tobias Weyand, Daniel Keysers, Wolfgang Macherey, Hermann Ney
    FIRE in ImageCLEF 2005: Combining Content-Based Image Retrieval with Textual Information Retrieval. [Citation Graph (0, 0)][DBLP]
    CLEF, 2005, pp:652-661 [Conf]
  3. 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. [Citation Graph (0, 0)][DBLP]
    CLEF, 2005, pp:535-557 [Conf]
  4. Thomas Deselaers, Daniel Keysers, Hermann Ney
    Discriminative Training for Object Recognition Using Image Patches. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:157-162 [Conf]
  5. Thomas Deselaers, Andre Hegerath, Daniel Keysers, Hermann Ney
    Sparse Patch-Histograms for Object Classification in Cluttered Images. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:202-211 [Conf]
  6. Thomas Deselaers, Daniel Keysers, Hermann Ney
    Features for Image Retrieval: A Quantitative Comparison. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:228-236 [Conf]
  7. Thomas Deselaers, Daniel Keysers, Hermann Ney
    Improving a Discriminative Approach to Object Recognition Using Image Patches. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2005, pp:326-333 [Conf]
  8. Thomas Deselaers, Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney
    Local Representations for Multi-object Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2003, pp:305-312 [Conf]
  9. Daniel Keysers, Thomas Deselaers, Hermann Ney
    Pixel-to-Pixel Matching for Image Recognition Using Hungarian Graph Matching. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2004, pp:154-162 [Conf]
  10. Daniel Keysers, Michael Motter, Thomas Deselaers, Hermann Ney
    Training and Recognition of Complex Scenes Using a Holistic Statistical Model. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2003, pp:52-59 [Conf]
  11. Morteza Zahedi, Daniel Keysers, Thomas Deselaers, Hermann Ney
    Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2005, pp:401-408 [Conf]
  12. Philippe Dreuw, Thomas Deselaers, David Rybach, Daniel Keysers, Hermann Ney
    Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition. [Citation Graph (0, 0)][DBLP]
    FG, 2006, pp:293-298 [Conf]
  13. Philippe Dreuw, Daniel Keysers, Thomas Deselaers, Hermann Ney
    Gesture Recognition Using Image Comparison Methods. [Citation Graph (0, 0)][DBLP]
    Gesture Workshop, 2005, pp:124-128 [Conf]
  14. Thomas Deselaers, Daniel Keysers, Hermann Ney
    Classification Error Rate for Quantitative Evaluation of Content-based Image Retrieval Systems. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:505-508 [Conf]
  15. 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. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:989-995 [Conf]
  16. 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, 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. [Citation Graph (0, 0)][DBLP]
    MLCW, 2005, pp:117-176 [Conf]
  17. Henning Müller, Paul Clough, William R. Hersh, Thomas Deselaers, Thomas Lehmann, Antoine Geissbühler
    Evaluation axes for medical image retrieval systems: the imageCLEF experience. [Citation Graph (0, 0)][DBLP]
    ACM Multimedia, 2005, pp:1014-1022 [Conf]
  18. Paul Clough, Michael Grubinger, Thomas Deselaers, Allan Hanbury, Henning Müller
    Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks. [Citation Graph (0, 0)][DBLP]
    CLEF, 2006, pp:579-594 [Conf]
  19. Henning Müller, Thomas Deselaers, Thomas Deserno, Paul Clough, Eugene Kim, William R. Hersh
    Overview of the ImageCLEFmed 2006 Medical Retrieval and Medical Annotation Tasks. [Citation Graph (0, 0)][DBLP]
    CLEF, 2006, pp:595-608 [Conf]
  20. Thomas Deselaers, Tobias Weyand, Hermann Ney
    Image Retrieval and Annotation Using Maximum Entropy. [Citation Graph (0, 0)][DBLP]
    CLEF, 2006, pp:725-734 [Conf]
  21. Thomas Deselaers, Antonio Criminisi, John M. Winn, Ankur Agarwal
    Incorporating On-demand Stereo for Real Time Recognition. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  22. Daniel Keysers, Thomas Deselaers, Christian Gollan, Hermann Ney
    Deformation Models for Image Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:8, pp:1422-1435 [Journal]

  23. Jointly optimising relevance and diversity in image retrieval. [Citation Graph (, )][DBLP]

  24. Overview of the ImageCLEFmed 2007 Medical Retrieval and Medical Annotation Tasks. [Citation Graph (, )][DBLP]

  25. FIRE in ImageCLEF 2007: Support Vector Machines and Logistic Models to Fuse Image Descriptors for Photo Retrieval. [Citation Graph (, )][DBLP]

  26. Overview of the ImageCLEF 2007 Object Retrieval Task. [Citation Graph (, )][DBLP]

  27. Medical Image Annotation in ImageCLEF 2008. [Citation Graph (, )][DBLP]

  28. The Visual Concept Detection Task in ImageCLEF 2008. [Citation Graph (, )][DBLP]

  29. Pan, zoom, scan - Time-coherent, trained automatic video cropping. [Citation Graph (, )][DBLP]

  30. Deformation-Aware Log-Linear Models. [Citation Graph (, )][DBLP]

  31. Efficient approximations to model-based joint tracking and recognition of continuous sign language. [Citation Graph (, )][DBLP]

  32. Smoothed Disparity Maps for Continuous American Sign Language Recognition. [Citation Graph (, )][DBLP]

  33. Modified MMI/MPE: a direct evaluation of the margin in speech recognition. [Citation Graph (, )][DBLP]

  34. A Conditional Random Field for Multiple-Instance Learning. [Citation Graph (, )][DBLP]

  35. Bag-of-visual-words models for adult image classification and filtering. [Citation Graph (, )][DBLP]

  36. Randomized trees for real-time one-step face detection and recognition. [Citation Graph (, )][DBLP]

  37. Learning weighted distances for relevance feedback in image retrieval. [Citation Graph (, )][DBLP]

  38. SVMs, Gaussian mixtures, and their generative/discriminative fusion. [Citation Graph (, )][DBLP]

  39. A Probabilistic Model for User Relevance Feedback on Image Retrieval. [Citation Graph (, )][DBLP]

  40. GfKl Data Mining Competition 2005: Predicting Liquidity Crises of Companies. [Citation Graph (, )][DBLP]

  41. Facilitating the Adoption of Tor by Focusing on a Promising Target Group. [Citation Graph (, )][DBLP]

  42. A GIS-like training algorithm for log-linear models with hidden variables. [Citation Graph (, )][DBLP]

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