Michael Stark

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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusEmail yang diverifikasi di mpi-inf.mpg.de
Li Fei-FeiProfessor of Computer Science, Stanford UniversityEmail yang diverifikasi di cs.stanford.edu
Jonathan KrauseGoogleEmail yang diverifikasi di google.com
Jia DengPrinceton UniversityEmail yang diverifikasi di cs.princeton.edu
Bojan PepikApplied scientist at Amazon.comEmail yang diverifikasi di amazon.de
Peter GehlerZalandoEmail yang diverifikasi di zalando.de
Konrad SchindlerProfessor of Photogrammetry and Remote Sensing, ETH ZurichEmail yang diverifikasi di ethz.ch
Zeeshan ZiaRetrocausal, Inc.Email yang diverifikasi di retrocausal.ai
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyEmail yang diverifikasi di tu-darmstadt.de
Li-Jia LiChief AI, IEEE FellowEmail yang diverifikasi di healthunity.org
Michael S. BernsteinAssociate Professor, Stanford UniversityEmail yang diverifikasi di cs.stanford.edu
Ranjay KrishnaAssistant Professor, University of WashingtonEmail yang diverifikasi di cs.washington.edu
David A. ShammaToyota Research InstituteEmail yang diverifikasi di acm.org
Justin JohnsonCofounder, World LabsEmail yang diverifikasi di umich.edu
Michael GoeseleMeta Reality Labs ResearchEmail yang diverifikasi di goesele.org
György Szarvas (Gyuri)Principal ML/NLP Scientist @ AmazonEmail yang diverifikasi di amazon.com
Jeremy L WyattSenior Principal Applied Scientist, AmazonEmail yang diverifikasi di amazon.com
Daphne KollerCEO and Founder, insitroEmail yang diverifikasi di insitro.com
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, BulgariaEmail yang diverifikasi di cs.tu-darmstadt.de
Dileep GeorgeResearch @DeepMind. Ex Co-founder at VicariousEmail yang diverifikasi di vicarious.com

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Michael Stark

Intrinsic

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computer vision machine learning artificial intelligence


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
3d object representations for fine-grained categorization J Krause, M Stark, J Deng, L Fei-Fei 2013 IEEE international conference on computer vision workshops, 554-561, 2013	4509	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	1339	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	73	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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