Peter Gehler - Google Scholar

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	All	Since 2015
Citations	7031	5570
h-index	33	31
i10-index	47	43

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Sebastian NowozinMicrosoft 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
Michael StarkVicariousVerified email at vicarious.com
Bojan PepikApplied scientist at Amazon.comVerified email at amazon.de
Federica BogoMicrosoftVerified email at tuebingen.mpg.de
Javier RomeroSenior Applied Scientist, AmazonVerified email at amazon.com
Gerard Pons-MollGroup Leader at Max Planck Institute for Informatics, Saarland Informatics Campus, SaarbrückenVerified email at mpi-inf.mpg.de
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Jeremy JancsaryPrincipal Research Scientist, Nuance CommunicationsVerified email at nuance.com
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Angjoo KanazawaUC Berkeley, Google ResearchVerified email at berkeley.edu
Bjoern AndresTU Dresden, University of TübingenVerified email at andres.sc
Eldar InsafutdinovMax Planck Institute for InformaticsVerified email at mpi-inf.mpg.de

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	1101	2014
On feature combination for multiclass object classification P Gehler, S Nowozin International Conference on Computer Vision (ICCV), 221-228, 2009	972	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	561	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	538	2016
Bayesian color constancy revisited PV Gehler, C Rother, A Blake, T Minka, T Sharp Computer Vision and Pattern Recognition (CVPR), 2008	361	2008
Poselet Conditioned Pictorial Structures L Pishchulin, M Andriluka, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	284	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	257	2012
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	199	2013
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	189	2017
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	166	2018
A generative model of people in clothing C Lassner, G Pons-Moll, PV Gehler International Conference on Computer Vision (ICCV) 6, 2017	139	2017
Video propagation networks V Jampani, R Gadde, PV Gehler Computer Vision and Pattern Recognition (CVPR), 2017	138	2017
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	138	2006
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	134*	2011
Occlusion Patterns for Object Class Detection B Pepik, M Stark, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	129	2013
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	122	2016
Deterministic annealing for multiple-instance learning P Gehler, O Chapelle Artificial Intelligence and Statistics (AIStats), 2007	116	2007
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	104	2010
3d2pm–3d deformable part models B Pepik, P Gehler, M Stark, B Schiele European Conference on Computer Vision (ECCV), 356-370, 2012	103	2012
Infinite kernel learning PV Gehler, S Nowozin Max Planck Institute for Biological Cybernetics, 2008	102	2008

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