Michael Stark

According to our database, Michael Stark authored at least 30 papers between 2007 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Visual Object Class Recognition.

Michael Stark, Bernt Schiele, Ales Leonardis

Proceedings of the Springer Handbook of Robotics, 2016

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition.

Jia Deng, Jonathan Krause, Michael Stark, Li Fei-Fei

IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015

Multi-View and 3D Deformable Part Models.

Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Towards Scene Understanding with Detailed 3D Object Representations.

M. Zeeshan Zia, Michael Stark, Konrad Schindler

Int. J. Comput. Vis., 2015

3D object class detection in the wild.

Bojan Pepik, Michael Stark, Peter V. Gehler, Tobias Ritschel, Bernt Schiele

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Image retrieval using scene graphs.

Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A. Shamma, Michael S. Bernstein, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Enriching object detection with 2D-3D registration and continuous viewpoint estimation.

Christopher Bongsoo Choy, Michael Stark, Sam Corbett-Davies, Silvio Savarese

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Multi-View Priors for Learning Detectors from Sparse Viewpoint Data.

Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele

Proceedings of the 2nd International Conference on Learning Representations, 2014

Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects.

Muhammad Zeeshan Zia, Michael Stark, Konrad Schindler

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Detailed 3D Representations for Object Recognition and Modeling.

M. Zeeshan Zia, Michael Stark, Bernt Schiele, Konrad Schindler

IEEE Trans. Pattern Anal. Mach. Intell., 2013

3D Object Representations for Fine-Grained Categorization.

Jonathan Krause, Michael Stark, Jia Deng, Li Fei-Fei

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Explicit Occlusion Modeling for 3D Object Class Representations.

M. Zeeshan Zia, Michael Stark, Konrad Schindler

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Occlusion Patterns for Object Class Detection.

Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

3D2PM - 3D Deformable Part Models.

Bojan Pepik, Peter V. Gehler, Michael Stark, Bernt Schiele

Proceedings of the Computer Vision - ECCV 2012, 2012

What Makes a Good Detector? - Structured Priors for Learning from Few Examples.

Tianshi Gao, Michael Stark, Daphne Koller

Proceedings of the Computer Vision - ECCV 2012, 2012

Teaching 3D geometry to deformable part models.

Bojan Pepik, Michael Stark, Peter V. Gehler, Bernt Schiele

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Fine-Grained Categorization for 3D Scene Understanding.

Michael Stark, Jonathan Krause, Bojan Pepik, David Meger, James J. Little, Bernt Schiele, Daphne Koller

Proceedings of the British Machine Vision Conference, 2012

2011

Revisiting 3D geometric models for accurate object shape and pose.

M. Zeeshan Zia, Michael Stark, Bernt Schiele, Konrad Schindler

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Evaluating knowledge transfer and zero-shot learning in a large-scale setting.

Marcus Rohrbach, Michael Stark, Bernt Schiele

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

On knowledge transfer in object class recognition.

Michael Stark

PhD thesis, 2010

Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer.

Marcus Rohrbach, Michael Stark, György Szarvas, Bernt Schiele

Proceedings of the Trends and Topics in Computer Vision, 2010

What helps where - and why? Semantic relatedness for knowledge transfer.

Marcus Rohrbach, Michael Stark, György Szarvas, Iryna Gurevych, Bernt Schiele

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Back to the Future: Learning Shape Models from 3D CAD Data.

Michael Stark, Michael Goesele, Bernt Schiele

Proceedings of the British Machine Vision Conference, 2010

Multi-modal Learning.

Danijel Skocaj, Matej Kristan, Alen Vrecko, Ales Leonardis, Mario Fritz, Michael Stark, Bernt Schiele, Somboon Hongeng, Jeremy L. Wyatt

Proceedings of the Cognitive Systems, 2010

Categorical Perception.

Mario Fritz, Mykhaylo Andriluka, Sanja Fidler, Michael Stark, Ales Leonardis, Bernt Schiele

Proceedings of the Cognitive Systems, 2010

2009

Shading cues for object class detection.

Michael Stark, Michael Goesele, Bernt Schiele

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

A shape-based object class model for knowledge transfer.

Michael Stark, Michael Goesele, Bernt Schiele

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

Functional Object Class Detection Based on Learned Affordance Cues.

Michael Stark, Philipp Lies, Michael Zillich, Jeremy L. Wyatt, Bernt Schiele

Proceedings of the Computer Vision Systems, 6th International Conference, 2008

2007

XQuery Streaming à la Carte.

Mary F. Fernández, Philippe Michiels, Jérôme Siméon, Michael Stark

Proceedings of the 23rd International Conference on Data Engineering, 2007

How Good are Local Features for Classes of Geometric Objects.

Michael Stark, Bernt Schiele

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007