Michael Stark - Google Scholar Citations

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	All	Since 2014
Citations	2929	2441
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i10-index	26	24

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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Bojan PepikApplied scientist at Amazon.comVerified email at amazon.de
Peter GehlerAmazonVerified email at amazon.com
Zeeshan ZiaSenior Scientist, Microsoft HoloLensVerified email at microsoft.com
Konrad SchindlerProfessor of Photogrammetry and Remote Sensing, ETH ZurichVerified email at ethz.ch
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Jonathan KrauseGoogleVerified email at google.com
Jia DengPrinceton UniversityVerified email at cs.princeton.edu
Marcus RohrbachResearch Scientist, Facebook AI ResearchVerified email at fb.com
Michael GoeseleFacebookVerified email at goesele.org
György Szarvas (Gyuri)Sr. ML/NLP Scientist @ AmazonVerified email at amazon.com
Daphne KollerCEO and Founder, insitroVerified email at insitro.com
Iryna GurevychProfessor of Computer Science, Technische Universität DarmstadtVerified email at cs.tu-darmstadt.de
Jeremy L WyattApplied Scientist, Amazon; Honorary Professor, University of BirminghamVerified email at amazon.com
Li-Jia LiAdjunct Professor, School of Medicine, Stanford UniversityVerified email at cs.stanford.edu
Michael S. BernsteinAssociate Professor, Stanford UniversityVerified email at cs.stanford.edu
Ranjay KrishnaPhD Candidate at Stanford UniversityVerified email at stanford.edu
David A. ShammaFXPALVerified email at acm.org
Justin JohnsonAssistant Professor, University of MichiganVerified email at umich.edu
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu

Michael Stark

Vicarious

Verified email at vicarious.com - Homepage

computer vision machine learning artificial intelligence


Title	Cited by	Year
3d object representations for fine-grained categorization J Krause, M Stark, J Deng, L Fei-Fei Proceedings of the IEEE International Conference on Computer Vision …, 2013	557	2013
What helps where–and why? semantic relatedness for knowledge transfer M Rohrbach, M Stark, G Szarvas, I Gurevych, B Schiele 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	270	2010
Image retrieval using scene graphs J Johnson, R Krishna, M Stark, LJ Li, D Shamma, M Bernstein, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …, 2015	256	2015
Evaluating knowledge transfer and zero-shot learning in a large-scale setting M Rohrbach, M Stark, B Schiele CVPR 2011, 1641-1648, 2011	254	2011
Teaching 3d geometry to deformable part models B Pepik, M Stark, P Gehler, B Schiele 2012 IEEE conference on computer vision and pattern recognition, 3362-3369, 2012	237	2012
Back to the Future: Learning Shape Models from 3D CAD Data. M Stark, M Goesele, B Schiele Bmvc 2 (4), 5, 2010	155	2010
Detailed 3d representations for object recognition and modeling MZ Zia, M Stark, B Schiele, K Schindler IEEE transactions on pattern analysis and machine intelligence 35 (11), 2608 …, 2013	140	2013
Occlusion patterns for object class detection B Pepikj, M Stark, P Gehler, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	117	2013
Functional object class detection based on learned affordance cues M Stark, P Lies, M Zillich, J Wyatt, B Schiele International conference on computer vision systems, 435-444, 2008	113	2008
A shape-based object class model for knowledge transfer M Stark, M Goesele, B Schiele 2009 IEEE 12th International Conference on Computer Vision, 373-380, 2009	111	2009
3D²PM – 3D Deformable Part Models B Pepik, P Gehler, M Stark, B Schiele European Conference on Computer Vision, 356-370, 2012	92	2012
Towards Scene Understanding with Detailed 3D Object Representations Z Zia, M Stark, K Schindler International Journal of Computer Vision, 2014	75	2014
Fine-Grained Categorization for 3D Scene Understanding M Stark, J Krause, B Pepik, D Meger, JJ Little, B Schiele, D Koller BMVC 30 (13), 2012	66	2012
Explicit occlusion modeling for 3d object class representations M Zeeshan Zia, M Stark, K Schindler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	59	2013
Multi-view and 3D Deformable Part Models B Pepik, M Stark, P Gehler, B Schiele IEEE Transactions on Pattern Analysis and Machine Intelligence, 0	57*
How good are local features for classes of geometric objects M Stark, B Schiele 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007	50	2007
Revisiting 3d geometric models for accurate object shape and pose MZ Zia, M Stark, B Schiele, K Schindler 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011	49	2011
Are cars just 3d boxes?-jointly estimating the 3d shape of multiple objects M Zeeshan Zia, M Stark, K Schindler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014	44	2014
Enriching object detection with 2D-3D registration and continuous viewpoint estimation C Bongsoo Choy, M Stark, S Corbett-Davies, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	38	2015
Leveraging the wisdom of the crowd for fine-grained recognition J Deng, J Krause, M Stark, L Fei-Fei IEEE transactions on pattern analysis and machine intelligence 38 (4), 666-676, 2015	31	2015

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