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Sven Wachsmuth: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sven Wachsmuth, Gerhard Sagerer
    Bayesian Networks for Speech and Image Integration. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:300-306 [Conf]
  2. Michael Jamieson, Sven J. Dickinson, Suzanne Stevenson, Sven Wachsmuth
    Using Language to Drive the Perceptual Grouping of Local Image Features. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2006, pp:2102-2109 [Conf]
  3. Susanne Kronenberg, Sven Wachsmuth, Franz Kummert, Gerhard Sagerer
    Disambiguation of Utterances by Visual Context Information. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 1999, pp:338-347 [Conf]
  4. Zhe Li, Jannik Fritsch, Sven Wachsmuth, Gerhard Sagerer
    An Object-Oriented Approach Using a Top-Down and Bottom-Up Process for Manipulative Action Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2006, pp:212-221 [Conf]
  5. Sven Wachsmuth, Gernot A. Fink, Franz Kummert, Gerhard Sagerer
    Using Speech in Visual Object Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2000, pp:428-435 [Conf]
  6. Gerhard Sagerer, Christian Bauckhage, Elke Braun, Jannik Fritsch, Franz Kummert, Frank Lömker, Sven Wachsmuth
    Structure and Process: Learning of Visual Models and Construction Plans for Complex Objects. [Citation Graph (0, 0)][DBLP]
    Sensor Based Intelligent Robots, 2000, pp:317-344 [Conf]
  7. Hans Brandt-Pook, Gernot A. Fink, Sven Wachsmuth, Gerhard Sagerer
    Integrated Recognition and Interpretation of Speech for a Construction Task Domain. [Citation Graph (0, 0)][DBLP]
    HCI (1), 1999, pp:550-554 [Conf]
  8. Daniel Schlüter, Sven Wachsmuth, Gerhard Sagerer, Stefan Posch
    Towards an Integrated Framework for Contour-Based Grouping and Object Recognition Using Markov Random Fields. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  9. Christian Bauckhage, Jannik Fritsch, Katharina J. Rohlfing, Sven Wachsmuth, Gerhard Sagerer
    Evaluating Integrated Speech- and Image Understanding. [Citation Graph (0, 0)][DBLP]
    ICMI, 2002, pp:9-14 [Conf]
  10. Sven Wachsmuth, Gerhard Sagerer
    Integrated Analysis of Speech and Images as a Probabilistic Decoding Process. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:588-592 [Conf]
  11. Sven Wachsmuth, Hans Brandt-Pook, Gudrun Socher, Franz Kummert, Gerhard Sagerer
    Multilevel Integration of Vision and Speech Understanding Using Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ICVS, 1999, pp:231-254 [Conf]
  12. Sebastian Wrede, Marc Hanheide, Sven Wachsmuth, Gerhard Sagerer
    Integration and Coordination in a Cognitive Vision System. [Citation Graph (0, 0)][DBLP]
    ICVS, 2006, pp:1- [Conf]
  13. Ingo Lütkebohle, Sebastian Wrede, Sven Wachsmuth
    Unsupervised Filtering of XML Streams for System Integration. [Citation Graph (0, 0)][DBLP]
    PRIS, 2005, pp:204-212 [Conf]
  14. Michaela Hohenner, Sven Wachsmuth, Gerhard Sagerer
    Modelling expertise for structure elucidation in organic chemistry using Bayesian networks. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2005, v:18, n:4-5, pp:207-215 [Journal]

  15. Learning Visual Compound Models from Parallel Image-Text Datasets. [Citation Graph (, )][DBLP]


  16. Continuous Visual Codebooks with a Limited Branching Tree Growing Neural Gas. [Citation Graph (, )][DBLP]


  17. Learning Structured Appearance Models from Captioned Images of Cluttered Scenes. [Citation Graph (, )][DBLP]


  18. Reducing noise and redundancy in registered range data for planar surface extraction. [Citation Graph (, )][DBLP]


  19. The curious robot - Structuring interactive robot learning. [Citation Graph (, )][DBLP]


  20. Laser-based navigation enhanced with 3D time-of-flight data. [Citation Graph (, )][DBLP]


  21. Dynamic 3D scene analysis for acquiring articulated scene models. [Citation Graph (, )][DBLP]


  22. The Bielefeld anthropomorphic robot head "Flobi". [Citation Graph (, )][DBLP]


  23. A Computational Model for the Alignment of Hierarchical Scene Representations in Human-Robot Interaction. [Citation Graph (, )][DBLP]


  24. Categorizing Perceptions of Indoor Rooms Using 3D Features. [Citation Graph (, )][DBLP]


  25. Semi-supervised Incremental Learning of Manipulative Tasks. [Citation Graph (, )][DBLP]


  26. Learning to recognise behaviours of persons with dementia using multiple cues in an HMM-based approach. [Citation Graph (, )][DBLP]


  27. View-adaptive manipulative action recognition for robot companions. [Citation Graph (, )][DBLP]


  28. Classes of Applications for Social Robots: A User Study. [Citation Graph (, )][DBLP]


  29. Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks [Citation Graph (, )][DBLP]


  30. Coordinating interactive vision behaviors for cognitive assistance. [Citation Graph (, )][DBLP]


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