Michael Stark

发表

Multi-View and 3D Deformable Part Models

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2014, ICLR.

Categorical Perception

Sanja Fidler, Bernt Schiele, Mario Fritz, 2010, Cognitive Systems.

Detailed 3D Representations for Object Recognition and Modeling

Bernt Schiele, Konrad Schindler, Michael Stark, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Silvio Savarese, Michael Stark, Sam Corbett-Davies, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Physically Grounded 3D Scene Interpretation with Detailed Object Models

Konrad Schindler, Michael Stark, M. Zeeshan Zia, 2014 .

Occlusion Patterns for Object Class Detection

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

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

Michael Stark, Daphne Koller, Tianshi Gao, 2012, ECCV.

Fine-Grained Categorization for 3D Scene Understanding

James J. Little, Bernt Schiele, Jonathan Krause, 2012, BMVC.

XQuery Streaming a la Carte

Michael Stark, Jérôme Siméon, Mary F. Fernández, 2007, 2007 IEEE 23rd International Conference on Data Engineering.

A shape-based object class model for knowledge transfer

Michael Goesele, Bernt Schiele, Michael Stark, 2009, 2009 IEEE 12th International Conference on Computer Vision.

3D object class detection in the wild

Peter V. Gehler, Bernt Schiele, Tobias Ritschel, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

Michael Goesele, Bernt Schiele, Michael Stark, 2010, BMVC.

Editorial of Special Issue on Shape Representations Meet Visual Recognition

Silvio Savarese, Michael Stark, Min Sun, 2015 .

Multi-modal Learning

Bernt Schiele, Mario Fritz, Danijel Skocaj, 2010, Cognitive Systems.

Modeling Instance Appearance for Recognition - Can We Do Better Than EM?

Andrew Chou, Michael Stark, Daphne Koller, 2013 .

Revisiting 3D geometric models for accurate object shape and pose

Bernt Schiele, Konrad Schindler, Michael Stark, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Explicit Occlusion Modeling for 3D Object Class Representations

Konrad Schindler, Michael Stark, M. Zeeshan Zia, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Leveraging the Wisdom of the Crowd for Fine-Grained Recognition

Jonathan Krause, Fei-Fei Li, Michael Stark, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Collecting a Large-scale Dataset of Fine-grained Cars

Jonathan Krause, Li Fei-Fei, Jia Deng, 2013 .

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

Konrad Schindler, Michael Stark, M. Zeeshan Zia, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

How Good are Local Features for Classes of Geometric Objects

Bernt Schiele, Michael Stark, B. Schiele, 2007, 2007 IEEE 11th International Conference on Computer Vision.

3D Object Representations for Fine-Grained Categorization

Jonathan Krause, Li Fei-Fei, Michael Stark, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

On knowledge transfer in object class recognition

Michael Stark, Michael Stark, 2010 .

Towards Scene Understanding with Detailed 3D Object Representations

Konrad Schindler, Michael Stark, M. Zeeshan Zia, 2014, International Journal of Computer Vision.

Vocal-Tract Modeling For Speaker Independent Single Channel Source SEPARATION

Franz Pernkopf, Michael Stark, Gernot Kubin, 2008 .

Functional Object Class Detection Based on Learned Affordance Cues

Bernt Schiele, Michael Stark, Michael Zillich, 2008, ICVS.

Teaching 3D geometry to deformable part models

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

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

Bernt Schiele, Marcus Rohrbach, Michael Stark, 2011, CVPR 2011.

Shading cues for object class detection

Michael Goesele, Bernt Schiele, Michael Stark, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

North Dakota Museum of Art

Michael Stark, 2012 .

High-Resolution 3D Layout from a Single View

Konrad Schindler, Michael Stark, Muhammad Zeeshan Zia, 2014 .

What helps where – and why? Semantic relatedness for knowledge transfer

Bernt Schiele, Iryna Gurevych, Marcus Rohrbach, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

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

Bernt Schiele, Marcus Rohrbach, Michael Stark, 2010, ECCV Workshops.

Visual Object Class Recognition

Bernt Schiele, Ales Leonardis, Michael Stark, 2016, Springer Handbook of Robotics, 2nd Ed..

3D2PM - 3D Deformable Part Models

Peter V. Gehler, Bernt Schiele, Bojan Pepik, 2012, ECCV.

Supplementary Material for the Paper “ Enriching Object Detection with 2 D-3 D Registration and Continuous Viewpoint Estimation ”

Silvio Savarese, Michael Stark, Sam Corbett-Davies, 2015 .