Michael Stark

According to our database1, Michael Stark authored at least 30 papers between 2007 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2016
Visual Object Class Recognition.
Proceedings of the Springer Handbook of Robotics, 2016

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

2015
Multi-View and 3D Deformable Part Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Towards Scene Understanding with Detailed 3D Object Representations.
International Journal of Computer Vision, 2015

3D object class detection in the wild.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Image retrieval using scene graphs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Enriching object detection with 2D-3D registration and continuous viewpoint estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Multi-View Priors for Learning Detectors from Sparse Viewpoint Data.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Detailed 3D Representations for Object Recognition and Modeling.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

3D Object Representations for Fine-Grained Categorization.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Explicit Occlusion Modeling for 3D Object Class Representations.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Occlusion Patterns for Object Class Detection.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
3D2PM - 3D Deformable Part Models.
Proceedings of the Computer Vision - ECCV 2012, 2012

What Makes a Good Detector? - Structured Priors for Learning from Few Examples.
Proceedings of the Computer Vision - ECCV 2012, 2012

Teaching 3D geometry to deformable part models.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Fine-Grained Categorization for 3D Scene Understanding.
Proceedings of the British Machine Vision Conference, 2012

2011
Revisiting 3D geometric models for accurate object shape and pose.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Evaluating knowledge transfer and zero-shot learning in a large-scale setting.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
On knowledge transfer in object class recognition.
PhD thesis, 2010

Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer.
Proceedings of the Trends and Topics in Computer Vision, 2010

What helps where - and why? Semantic relatedness for knowledge transfer.
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.
Proceedings of the British Machine Vision Conference, 2010

Multi-modal Learning.
Proceedings of the Cognitive Systems, 2010

Categorical Perception.
Proceedings of the Cognitive Systems, 2010

2009
Shading cues for object class detection.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

A shape-based object class model for knowledge transfer.
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.
Proceedings of the Computer Vision Systems, 6th International Conference, 2008

2007
XQuery Streaming à la Carte.
Proceedings of the 23rd International Conference on Data Engineering, 2007

How Good are Local Features for Classes of Geometric Objects.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007


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