Björn OmmerPostdoctoral Research Scholar in Computer Science 527 Soda Hall Tel: +1 (510) 642-9582 |
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Brief C.V.
Björn Ommer 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---his diploma thesis focused on visual grouping based on perceptual organization and compositionality.
After that he pursued his doctoral studies at ETH
Currently, Björn holds 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, compositionality, graphical models and perceptual organization
Publications
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
- 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)