Prof. Dr. Björn Ommer Assistant Professor for Computer Vision Universität Heidelberg    Heidelberg Collaboratory for Image Processing (HCI) &      Interdisciplinary Center for Scientific Computing (IWR) &      Transcultural Studies (TS)   Speyerer Str. 6 Uni Heidelberg, IWR D-69115 Heidelberg, Germany Tel.(office):   +49 6221/54-7853 Tel.(secret.): +49 6221/54-7855 Fax:               +49 6221/54-8790 Email:            ommer (at) uni-heidelberg (dot) de

        » We are seeking candidates for a PostDoc and a PhD Position in Computer Vision

Brief C.V.

Björn Ommer is an assistant professor for Scientific Computing and leads the Computer Vision Group at the University of Heidelberg.

He has studied computer science together with physics as a minor subject at the Rheinische Friedrich-Wilhelms-Universität Bonn, Germany. In 2003 he was awarded a diploma (~M.Sc.) in computer science (summa cum laude)---his diploma thesis focused on visual grouping based on perceptual organization and compositionality.

After that he pursued his doctoral studies at ETH Zurich Switzerland in the Pattern Analysis and Machine Learning Group headed by Joachim M. Buhmann. He received his Ph.D. degree from ETH Zurich in 2007 for his dissertation "Learning the Compositional Nature of Objects for Visual Recognition" which was awarded the ETH Medal.

Thereafter, Björn held a post-doc position in the Computer Vision Group of Jitendra Malik at UC Berkeley.

Research Areas

Computer vision, machine learning, cognitive science; esp.: visual object recognition in images and video, biomedical image analysis, compositionality, graphical models and perceptual organization

Publications

Björn Ommer and Jitendra Malik,
Multi-Scale Object Detection by Clustering Lines,
in: ICCV'09, IEEE, 2009.

Björn Ommer, Theodor Mader and Joachim M. Buhmann,
Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera,
in: International Journal of Computer Vision (IJCV), 83(1):57-71, Springer, 2009
Supplementary material (videos) & Reprint from SpringerLink.

Björn Ommer and Joachim M. Buhmann,
Learning the Compositional Nature of Visual Object Categories for Recognition,
IEEE Transactions on PAMI, (accepted, in print), 2008.

Björn Ommer,
Seeing the Objects Behind the Parts: Learning Compositional Models for Visual Recognition,
VDM Verlag, ISBN: 978-3-639-02144-8, 2008.

Björn Ommer and Joachim M. Buhmann,
Compositional Object Recognition, Segmentation, and Tracking in Video,
in: International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'07), LNCS 4679, Springer, 2007.

Christian Sigg, Bernd Fischer, Björn Ommer, Volker Roth, and Joachim M. Buhmann,
Nonnegative CCA for Audiovisual Source Separation,
in: IEEE International Workshop on Machine Learning for Signal Processing'07, IEEE, 2007.

Björn Ommer and Joachim M. Buhmann,
Learning the Compositional Nature of Visual Objects,
in: CVPR'07, IEEE, 2007.

Volker Roth and Björn Ommer
Exploiting Low-level Image Segmentation for Object Recognition,
in: Pattern Recognition (Symposium of the DAGM), LNCS 4174, Springer, 2006.

Björn Ommer, Michael Sauter and Joachim M. Buhmann,
Learning Top-Down Grouping of Compositional Hierarchies for Recognition,
in: CVPR'06 (POCV), IEEE 2006.

Björn Ommer and Joachim M. Buhmann,
Learning Compositional Categorization Models,
in: ECCV'06, LNCS 3953, Springer, 2006.

Björn Ommer and Joachim M. Buhmann,
Object Categorization by Compositional Graphical Models,
in: EMMCVPR'05, LNCS 3757, Springer, 2005.

 

Björn Ommer and Joachim M. Buhmann,
A Compositionality Architecture for Perceptual Feature Grouping,
in: EMMCVPR'03, LNCS 2683, pp. 275-290, Springer, 2003.

Teaching

• Since 2009      »» Computer Vision Group Teaching Website
  
• FS 2007           Exercises to the lecture Image Analysis with Statistical Models
  
• SS 2007           Exercises to the lecture Computer Science for Mechanical Engineers
  
• WS 2006/07    Exercises to the lecture Application-Oriented Computer Science (251-0839-00)
• SS 2006           Exercises to the lecture Computer Science II (251-0838-00)
  
• WS 2005/06    Exercises to the lecture Modeling and Simulation (251-0503-00)
  
• SS  2005          Exercises to the lecture Computer Science (for Biol., Pharm.) (551-0432-00)
• WS 2004/05    Exercises to the lecture Scientific Computing (251-0501-00)
• SS 2004           Exercises to the lecture Machine Learning II (251-0526-00)
• WS 2003/04    Exercises to the lecture Scientific Computing (37-501)
• WS 2001/02    Exercises to the lecture Digital Image Processing and Computer Vision I (WS 2001/02)
• WS 2000/01    Exercises to the lecture Pattern Recognition (WS 2000/01)

Links

Computer Vision Group @ Uni Heidelberg

HCI @ Uni Heidelberg

Transcultural Studies @ Uni Heidelberg

University of Heidelberg

Computer Vision Group @ UC Berkeley

Pattern Analysis and Machine Learning Group @ ETH Zurich