Michael Stark

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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
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Jonathan KrauseGoogleVerified email at google.com
Peter GehlerAmazon Web ServicesVerified email at amazon.com
Zeeshan ZiaRetrocausal, Inc.Verified email at retrocausal.ai
Konrad SchindlerProfessor of Photogrammetry and Remote Sensing, ETH ZurichVerified email at ethz.ch
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
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. ShammaToyota Research InstituteVerified email at acm.org
Justin JohnsonAssistant Professor, University of Michigan; Visiting Scientist, Facebook AI ResearchVerified email at umich.edu
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
Silvio SavareseAssociate Professor of Computer Science at Stanford UniversityVerified email at stanford.edu

Michael Stark

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computer vision machine learning artificial intelligence


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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	1253	2013
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	562	2015
Evaluating knowledge transfer and zero-shot learning in a large-scale setting M Rohrbach, M Stark, B Schiele CVPR 2011, 1641-1648, 2011	347	2011
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	331	2010
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	287	2012
Back to the Future: Learning Shape Models from 3D CAD Data. M Stark, M Goesele, B Schiele Bmvc 2 (4), 5, 2010	178	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	174	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	145	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	125	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	116	2009
3D²PM – 3D Deformable Part Models B Pepik, P Gehler, M Stark, B Schiele European Conference on Computer Vision, 356-370, 2012	113	2012
Towards Scene Understanding with Detailed 3D Object Representations Z Zia, M Stark, K Schindler International Journal of Computer Vision, 2014	98	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	88	2012
Multi-view and 3D Deformable Part Models B Pepik, M Stark, P Gehler, B Schiele IEEE Transactions on Pattern Analysis and Machine Intelligence, 0	82*
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	71	2013
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	69	2014
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	59	2011
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	57	2007
Collecting a large-scale dataset of fine-grained cars J Krause, J Deng, M Stark, L Fei-Fei	49	2013
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	45	2015

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