Michael Stark

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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusAdresse e-mail validée de mpi-inf.mpg.de
Li Fei-FeiProfessor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Jonathan KrauseGoogleAdresse e-mail validée de google.com
Jia DengPrinceton UniversityAdresse e-mail validée de cs.princeton.edu
Bojan PepikApplied scientist at Amazon.comAdresse e-mail validée de amazon.de
Peter GehlerZalandoAdresse e-mail validée de zalando.de
Konrad SchindlerProfessor of Photogrammetry and Remote Sensing, ETH ZurichAdresse e-mail validée de ethz.ch
Zeeshan ZiaRetrocausal, Inc.Adresse e-mail validée de retrocausal.ai
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyAdresse e-mail validée de tu-darmstadt.de
Li-Jia LiChief AI, IEEE FellowAdresse e-mail validée de healthunity.org
Michael S. BernsteinAssociate Professor, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Ranjay KrishnaAssistant Professor, University of WashingtonAdresse e-mail validée de cs.washington.edu
David A. ShammaToyota Research InstituteAdresse e-mail validée de acm.org
Justin JohnsonCofounder, World LabsAdresse e-mail validée de umich.edu
Michael GoeseleMeta Reality Labs ResearchAdresse e-mail validée de goesele.org
György Szarvas (Gyuri)Principal ML/NLP Scientist @ AmazonAdresse e-mail validée de amazon.com
Jeremy L WyattSenior Principal Applied Scientist, AmazonAdresse e-mail validée de amazon.com
Daphne KollerCEO and Founder, insitroAdresse e-mail validée de insitro.com
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaAdresse e-mail validée de cs.tu-darmstadt.de
Dileep GeorgeResearch @DeepMind. Ex Co-founder at VicariousAdresse e-mail validée de vicarious.com

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Michael Stark

Intrinsic

Adresse e-mail validée de intrinsic.ai - Page d'accueil

computer vision machine learning artificial intelligence


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	4488	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	1337	2015
Evaluating knowledge transfer and zero-shot learning in a large-scale setting M Rohrbach, M Stark, B Schiele CVPR 2011, 1641-1648, 2011	419	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	361	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	308	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	208	2013
Back to the Future: Learning Shape Models from 3D CAD Data. M Stark, M Goesele, B Schiele Bmvc 2 (4), 5, 2010	188	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	167	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	142	2008
Collecting a large-scale dataset of fine-grained cars J Krause, J Deng, M Stark, L Fei-Fei	137	2013
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	122	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	115	2012
Towards Scene Understanding with Detailed 3D Object Representations Z Zia, M Stark, K Schindler International Journal of Computer Vision, 2014	113	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	97	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	95	2014
Multi-view and 3D Deformable Part Models B Pepik, M Stark, P Gehler, B Schiele IEEE Transactions on Pattern Analysis and Machine Intelligence, 0	90*
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	78	2017
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	74	2013
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	68	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	57	2011

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