DAGM Workshop on Unsolved Problems in Pattern Recognition

Heidelberg, April 13-14, 2011 Keynote talk: Jitendra Malik, UC Berkeley Call for Contributions The technical committee of the German Association for Pattern Recognition (DAGM) invites to this workshop that provides a platform for discussing the major challenges of pattern recognition and computer vision in the next years. The event is an opportunity to take a step back from the daily business and debate about the currently most relevant problems in the field and emphasize the most promising future research directions. Participants are kindly requested to submit an extended abstract of not more than one page which sketches an open problem in the respective fields or in related application areas. The proposal should contain:

• a specification of the problem and a characterization of its relevance for research in the field of interest, its application areas, and its societal or economic implications
• cause of the problem; what deficits in our field are causing this problem
• relations to the state-of-the-art in our field; which research initiatives would be necessary to devise a solution

The technical committee will select a small number of proposals to be presented in talks. Plenty of time is planned to allow for controversial panel discussions on the presented problems. Important Dates Nov 29, 2010: Submission of extended abstracts (≤ 1 page) ~Dec 21, 2010: Notification of participants Feb 7, 2011: Registration, payment of the registration fee of 50 EUR (includes lunch on both days, a dinner, and coffee breaks) April 13-14, 2011: Workshop in Heidelberg Program The workshop combines the following talks with a number of extensive panel discussions where the presented challenges as well as additional problems in Pattern Recognition and Computer Vision will be discussed.

• Christian Bauckhage and Christian Thurau, Fraunhofer IAIS & University of Bonn: "Pattern Recognition in the Zettabyte-Age"
• Horst Bischof, TU Graz: "Continuous Learning for Vision?" , Slides
• Joachim M Buhmann, ETH Zürich: "Structure learning and the generalization capacity of algorithms" , Slides
• Joachim Denzler and Erik Rodner, University of Jena: "Towards Realistic Real-World Visual Learning"
• Wolfgang Förstner, University of Bonn: "Freely structured models for geometric and semantic object reconstruction"
• Ales Leonardis, University of Ljubljana: "How to represent a large number of visual object categories to support a variety of cognitive tasks"
• Helmut Mayer, Martin Drauschke, Jan Bartelsen & Heiko Hirschmüller, Universität der BW München: "Combination of Segmentation, Depth Estimation, and Priors" , Slides , Video
• Nassir Navab, TU Munich: "Synergy of Medical Imaging, Pattern Recognition, and Computer Vision" (tbc.)
• Bernt Schiele, MPI Informatics: "Scalability of Object Class Recognition" , Slides
• Jitendra Malik, UC Berkeley, Invited Talk , Slides

Program Flyer Program Committee H. Bischof, TU Graz J.M. Buhmann, ETH Zurich A. Dengel, DFKI U. Franke, Daimler AG F. Hamprecht, Universität Heidelberg R. Koch, Universität Kiel H. Mayer, Universität der BW München B. Ommer, Universität Heidelberg B. Schiele, TU Darmstadt C. Schnörr, Universität Heidelberg B. Schölkopf, MPI Tübingen T. Vetter, Universität Basel J. Weickert, Universität des Saarlandes Organization B. Ommer, Universität Heidelberg