Peter Gehler

Cited by

	All	Since 2016
Citations	7995	5791
h-index	34	29
i10-index	48	42

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Co-authors

Sebastian NowozinPartner Research Manager, Machine Intelligence, Microsoft Research (Cambridge, UK)Verified email at microsoft.com
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Leonid PishchulinAmazonVerified email at mpi-inf.mpg.de
Martin KiefelApplied Scientist, Amazon, TübingenVerified email at amazon.com
Varun JampaniResearcher, Google ResearchVerified email at google.com
Christoph LassnerOculus Research / Facebook Reality LabsVerified email at oculus.com
Mykhaylo AndrilukaGoogle ResearchVerified email at google.com
Michael J. BlackMax Planck Institute for Intelligent Systems and AmazonVerified email at tuebingen.mpg.de
Raghudeep GaddeMPI-ISVerified email at tuebingen.mpg.de
Federica BogoMicrosoftVerified email at tuebingen.mpg.de
Javier RomeroPrincipal Scientist, AmazonVerified email at amazon.com
Michael StarkVicariousVerified email at vicarious.com
Bojan PepikApplied scientist at Amazon.comVerified email at amazon.de
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Jeremy JancsarySenior Principal Research Scientist, Nuance CommunicationsVerified email at nuance.com
Angjoo KanazawaUC Berkeley, Google ResearchVerified email at berkeley.edu
Gerard Pons-MollGroup Leader at Max Planck Institute for Informatics, Saarland Informatics Campus, SaarbrückenVerified email at mpi-inf.mpg.de
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Bjoern AndresTU DresdenVerified email at andres.sc
Eldar InsafutdinovUniversity of OxfordVerified email at robots.ox.ac.uk

Peter Gehler

Amazon Web Services

Verified email at amazon.com - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
2d human pose estimation: New benchmark and state of the art analysis M Andriluka, L Pishchulin, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 3686-3693, 2014	1317	2014
On feature combination for multiclass object classification P Gehler, S Nowozin International Conference on Computer Vision (ICCV), 221-228, 2009	1029	2009
Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image F Bogo, A Kanazawa, C Lassner, P Gehler, J Romero, MJ Black European Conference on Computer Vision (ECCV), 561-578, 2016	687	2016
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation L Pishchulin, E Insafutdinov, S Tang, B Andres, M Andriluka, P Gehler, ... Conference on Computer Vision and Pattern Recognition (CVPR), 2016	643	2016
Bayesian color constancy revisited PV Gehler, C Rother, A Blake, T Minka, T Sharp Computer Vision and Pattern Recognition (CVPR), 2008	389	2008
Poselet Conditioned Pictorial Structures L Pishchulin, M Andriluka, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	332	2013
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	286	2012
Unite the people: Closing the loop between 3d and 2d human representations C Lassner, J Romero, M Kiefel, F Bogo, MJ Black, PV Gehler Conference on Computer Vision and Pattern Recognition (CVPR) 2, 3, 2017	235	2017
Strong Appearance and Expressive Spatial Models for Human Pose Estimation L Pishchulin, M Andriluka, P Gehler, B Schiele International Conference on Computer Vision (ICCV), 2013	216	2013
Neural body fitting: Unifying deep learning and model based human pose and shape estimation M Omran, C Lassner, G Pons-Moll, P Gehler, B Schiele International Conference on 3D Vision (3DV), 484-494, 2018	207	2018
Video propagation networks V Jampani, R Gadde, PV Gehler Computer Vision and Pattern Recognition (CVPR), 2017	160	2017
A generative model of people in clothing C Lassner, G Pons-Moll, PV Gehler International Conference on Computer Vision (ICCV) 6, 2017	155	2017
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance PV Gehler, C Rother, M Kiefel, L Zhang, B Schölkopf Advances in Neural Information Processing Systems (NIPS), 765--773, 2011	147*	2011
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks V Jampani, M Kiefel, PV Gehler Conference on Computer Vision and Pattern Recognition (CVPR), 2016	144	2016
Occlusion Patterns for Object Class Detection B Pepik, M Stark, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	142	2013
The rate adapting poisson model for information retrieval and object recognition PV Gehler, AD Holub, M Welling International Conference on Machine Learning (ICML), 337-344, 2006	139	2006
Deterministic annealing for multiple-instance learning P Gehler, O Chapelle Artificial Intelligence and Statistics (AIStats), 2007	119	2007
3d2pm–3d deformable part models B Pepik, P Gehler, M Stark, B Schiele European Conference on Computer Vision (ECCV), 356-370, 2012	113	2012
On parameter learning in CRF-based approaches to object class image segmentation S Nowozin, PV Gehler, CH Lampert European conference on computer vision (ECCV), 98-111, 2010	113	2010
Infinite kernel learning PV Gehler, S Nowozin Max Planck Institute for Biological Cybernetics, 2008	102	2008

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