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max planck institut
informatik
informatik
Michael Stark (Post-Doc)
Contact
Phone
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Fax
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Office
133 @ Gates Computer Sciences, Stanford University News
I am now Visiting Assistant Professor at Stanford University, as part of the Max Planck Center for Visual Computing and Communication (MPC-VCC). I am working on Visual Object Recognition and Scene Interpretation with Prof. Daphne Koller.
Research Interests
Object Class Recognition
Probabilistic Models
Machine Learning
Teaching
Supervised Theses
- Marcus Rohrbach. Visual Knowledge Transfer Using Semantic Relatedness Measures
- Sandra Ebert. Dirichlet Process Mixture Models for Object Category Recognition
- Philipp Lies. Extracting Affordance Cues from Observed Human-Object Interactions
- Sebastian Schneider. Discovering Interaction Points on Objects using Human Hand Tracking
Courses
- Winter Semester 2007/2008: Introduction to Computer Science 1 (Lab exercises)
- Summer Semester 2007: Advanced Programming Techniques in Computer Vision (Exercises)
- Winter Semester 2006/2007: Introduction to Computer Science 1 (Lab exercises)
Short-Bio
Awards and Honors
- 2011: Best Paper Award, 3rd International IEEE Workshop on 3D Representation for Recognition (3dRR-11), Barcelona, Spain, 2011
- 2011: CVPR 2011 Best Reviewer Award
- 2010: Fraunhofer IGD / TUD GRIS Ph.D. thesis award
- 2010: Honorable mention for the Fraunhofer IGD Selected Readings in Computer Graphics 2009 best paper award (for our ICCV'09 paper)
- 2010: Honorable mention for the Fraunhofer IGD Selected Readings in Computer Graphics 2009 best paper award (for our 3dRR-09 paper)
- 2009: Best Paper Award, 2nd International IEEE Workshop on 3D Representation for Recognition (3dRR-09), Kyoto, Japan, 2009
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2003 - 2005: Support by German National Academic Foundation (Studienstiftung des Deutschen Volkes)
Projects
- Cognitive Systems for Cognitive Assistants (CoSy)
Former Affiliations
- Research Associate at Fraunhofer Integrated Information and Publication Systems Institute (IPSI), division Data Mining (MINE)
- Research Internship at AT&T Labs, Florham Park, New Jersey, USA
My Erdös Number is at most 4 (via Noga Alon, Dan Suciu, Mary Fernandez).
Other Affiliations
Stanford University, DAGS
Research Projects
Publications
Detailed 3D Representations for Object Recognition and Modeling,
PAMI, (2013)
Accepted
Explicit Occlusion Modeling for 3D Object Class Representations,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, USA, (2013)
Modeling Instance Appearance for Recognition - Can We Do Better Than EM?,
CVPR-SPTLI (workshop), (2013)
Occlusion Patterns for Object Class Detection,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, USA, (2013)
3D^2PM - 3D Deformable Part Models,
European Conference on Computer Vision (ECCV), Firenze, Italy, (2012)
PDF
Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer,
Trends and Topics in Computer Vision, Volume 6553, p.15-28, (2012)
Code and supplemental material are provided at http://www.d2.mpi-inf.mpg.de/nlp4vision Abstract
Fine-Grained Categorization for 3D Scene Understanding,
British Machine Vision Conference (BMVC) 2012, Surrey, UK, (2012)
PDF
Teaching 3D Geometry to Deformable Part Models,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012, Providence, RI, USA, (2012)
accepted as oral PDF
What Makes a Good Detector? -- Structured Priors for Learning From Few Examples,
European Conference on Computer Vision (ECCV), Firenze, Italy, (2012)
PDF
Revisiting 3D Geometric Models for Accurate Object Shape and Pose,
3rd International IEEE Workshop on 3D Representation and Recognition (3dRR-11), 11/2011, Barcelona, Spain, (2011)
(Oral), Best paper award Abstract
PDF
Evaluating Knowledge Transfer and Zero-Shot Learning in a Large-Scale Setting,
CVPR, (2011)
(code available at http://www.d2.mpi-inf.mpg.de/large-scale-kt) Abstract
PDF
On Knowledge Transfer in Object Class Recognition,
Fachbereich Informatik, 09|30|2010, Ph.D. Thesis, Darmstadt, p.174, (2010)
Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer,
Parts and Attributes Workshop at ECCV 2010, 09/2010, (2010)
Code and supplemental material are provided at http://www.d2.mpi-inf.mpg.de/nlp4vision Abstract
PDF
Back to the Future: Learning Shape Models from 3D CAD Data,
British Machine Vision Conference (BMVC), 08/2010, Aberystwyth, Wales, (2010)
Accepted as Oral (video can be found here: http://www.bmva.org/bmvc/2010/videos/Wednesday/Afternoon/Michael%20Stark.mov) PDF
Categorical Perception,
Cognitive Systems, Number 8, (2010)
Multi-Modal Learning,
Cognitive Systems, Number 8, (2010)
What Helps Where – And Why? Semantic Relatedness for Knowledge Transfer,
CVPR, (2010)
(oral, talk at http://videolectures.net/cvpr2010_rohrbach_whw/) Code and supplemental material are provided at http://www.d2.mpi-inf.mpg.de/nlp4vision Abstract
PDF
Shading Cues for Object Class Detection,
2nd International IEEE Workshop on 3D Representation for Recognition (3dRR-09), 2009, Kyoto, Japan, in association with ICCV'09, (2009)
(Oral), Best paper award Abstract
PDF
A Shape-Based Object Class Model for Knowledge Transfer,
Twelfth IEEE International Conference on Computer Vision (ICCV), 2009, Kyoto, Japan, (2009)
(Oral) Abstract
PDF
Functional Object Class Detection Based on Learned Affordance Cues,
6th International Conference on Computer Vision Systems (ICVS), 2008, Santorini, Greece, (2008)
Oral presentation Abstract
PDF
How Good are Local Features for Classes of Geometric Objects,
Eleventh IEEE International Conference on Computer Vision (ICCV), 2007, Rio de Janeiro, Brazil, (2007)
Abstract
PDF
XQuery Streaming a la Carte,
IEEE 23rd International Conference on Data Engineering (ICDE), 2007, Istanbul, Turkey, (2007)
Oral presentation Abstract
PDF
