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Michael Stark (Post-Doc)


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133 @ Gates Computer Sciences, Stanford University

News

Since September 2011, I am part of the Max Planck Center for Visual Computing and Communication (MPC-VCC) at Stanford University, 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

Projects

  • Cognitive Systems for Cognitive Assistants (CoSy)

Former Affiliations

 My Erdös Number is at most 4 (via Noga Alon, Dan Suciu, Mary Fernandez).

Other Affiliations

Stanford University, DAGS

Research Projects

Publications

2012
Teaching 3D Geometry to Deformable Part Models, B. Pepik, M. Stark, P. Gehler and B. Schiele, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012, Providence, RI, USA, (2012) accepted as oral PDF 
2011
Revisiting 3D Geometric Models for Accurate Object Shape and Pose, Z. Zia, M. Stark, K. Schindler and B. Schiele, 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, M. Rohrbach, M. Stark and B. Schiele, CVPR, (2011) (code available at http://www.d2.mpi-inf.mpg.de/large-scale-kt) Abstract  PDF 
2010
On Knowledge Transfer in Object Class Recognition, M. Stark, Fachbereich Informatik, 09|30|2010, Ph.D. Thesis, Darmstadt, p.174, (2010)
Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer, M. Rohrbach, M. Stark, G. Szarvas and B. Schiele, 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, M. Stark, M. Goesele and B. Schiele, 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, M. Fritz, M. Andriluka, S. Fidler, M. Stark, A. Leonardis and B. Schiele, Cognitive Systems, Number 8, (2010)
Multi-Modal Learning, D. Skocaj, M. Kristan, A. Vrecko, A. Leonardis, M. Fritz, M. Stark, B. Schiele, S. Hongeng and J L. Wyatt, Cognitive Systems, Number 8, (2010)
What Helps Where – And Why? Semantic Relatedness for Knowledge Transfer, M. Rohrbach, M. Stark, G. Szarvas, I. Gurevych and B. Schiele, 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 
2009
Shading Cues for Object Class Detection, M. Stark, M. Goesele and B. Schiele, 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, M. Stark, M. Goesele and B. Schiele, Twelfth IEEE International Conference on Computer Vision (ICCV), 2009, Kyoto, Japan, (2009) (Oral) Abstract  PDF 
2008
Functional Object Class Detection Based on Learned Affordance Cues, M. Stark, P. Lies, M. Zillich, J L. Wyatt and B. Schiele, 6th International Conference on Computer Vision Systems (ICVS), 2008, Santorini, Greece, (2008) Oral presentation Abstract  PDF 
2007
How Good are Local Features for Classes of Geometric Objects, M. Stark and B. Schiele, Eleventh IEEE International Conference on Computer Vision (ICCV), 2007, Rio de Janeiro, Brazil, (2007) Abstract  PDF 
XQuery Streaming a la Carte, M. Fernandez, P. Michiels, J. Simeon and M. Stark, IEEE 23rd International Conference on Data Engineering (ICDE), 2007, Istanbul, Turkey, (2007) Oral presentation Abstract  PDF 

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