Michael Stark

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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Jonathan KrauseGoogleVerified email at google.com
Bojan PepikApplied scientist at Amazon.comVerified email at amazon.de
Jia DengPrinceton UniversityVerified email at cs.princeton.edu
Peter GehlerAmazonVerified email at amazon.com
Konrad SchindlerProfessor of Photogrammetry and Remote Sensing, ETH ZurichVerified email at ethz.ch
Zeeshan ZiaRetrocausal, Inc.Verified email at retrocausal.ai
Marcus RohrbachResearch Scientist, Facebook AI ResearchVerified email at fb.com
Michael GoeseleMeta Reality Labs ResearchVerified email at goesele.org
Li-Jia LiChief AI, IEEE FellowVerified email at healthunity.org
Michael S. BernsteinAssociate Professor, Stanford UniversityVerified email at cs.stanford.edu
Ranjay KrishnaAssistant Professor, University of WashingtonVerified email at cs.washington.edu
David A. ShammaToyota Research InstituteVerified email at acm.org
Justin JohnsonAssistant Professor, University of Michigan; Research Scientist, Meta AIVerified email at umich.edu
György Szarvas (Gyuri)Sr. ML/NLP Scientist @ AmazonVerified email at amazon.com
Jeremy L WyattDirector, Applied Science, 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
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


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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	2759	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	971	2015
Evaluating knowledge transfer and zero-shot learning in a large-scale setting M Rohrbach, M Stark, B Schiele CVPR 2011, 1641-1648, 2011	397	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	353	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	305	2012
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	197	2013
Back to the Future: Learning Shape Models from 3D CAD Data. M Stark, M Goesele, B Schiele Bmvc 2 (4), 5, 2010	183	2010
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	156	2013
Functional object class detection based on learned affordance cues M Stark, P Lies, M Zillich, J Wyatt, B Schiele Computer Vision Systems: 6th International Conference, ICVS 2008 Santorini …, 2008	137	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	120	2009
3D²PM – 3D Deformable Part Models B Pepik, P Gehler, M Stark, B Schiele Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	113	2012
Towards Scene Understanding with Detailed 3D Object Representations Z Zia, M Stark, K Schindler International Journal of Computer Vision, 2014	112	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	94	2012
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	88	2014
Collecting a large-scale dataset of fine-grained cars J Krause, J Deng, M Stark, L Fei-Fei	88	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	85*
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	73	2013
Teaching Compositionality to CNNs A Stone, H Wang, M Stark, Y Liu, DS Phoenix, D George IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	67	2017
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	61	2015
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	58	2011

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