Peter Gehler

Cited by

	All	Since 2015
Citations	7344	5863
h-index	33	31
i10-index	48	45

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200820092010201120122013201420152016201720182019202023 44 124 174 291 321 441 491 587 847 1046 1528 1353

Co-authors

Sebastian NowozinPartner Researcher, 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
Christoph LassnerOculus Research / Facebook Reality LabsVerified email at oculus.com
Varun JampaniResearcher, Google ResearchVerified email at google.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
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
Angjoo KanazawaUC Berkeley, Google ResearchVerified email at berkeley.edu
Jeremy JancsarySenior Principal 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
Bjoern AndresTU DresdenVerified 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	1190	2014
On feature combination for multiclass object classification P Gehler, S Nowozin International Conference on Computer Vision (ICCV), 221-228, 2009	976	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	608	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	571	2016
Bayesian color constancy revisited PV Gehler, C Rother, A Blake, T Minka, T Sharp Computer Vision and Pattern Recognition (CVPR), 2008	367	2008
Poselet Conditioned Pictorial Structures L Pishchulin, M Andriluka, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	296	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
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	208	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	201	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	184	2018
A generative model of people in clothing C Lassner, G Pons-Moll, PV Gehler International Conference on Computer Vision (ICCV) 6, 2017	144	2017
Video propagation networks V Jampani, R Gadde, PV Gehler Computer Vision and Pattern Recognition (CVPR), 2017	144	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	141	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	136*	2011
Occlusion Patterns for Object Class Detection B Pepik, M Stark, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	133	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	129	2016
Deterministic annealing for multiple-instance learning P Gehler, O Chapelle Artificial Intelligence and Statistics (AIStats), 2007	117	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	106	2010
3d2pm–3d deformable part models B Pepik, P Gehler, M Stark, B Schiele European Conference on Computer Vision (ECCV), 356-370, 2012	105	2012
Infinite kernel learning PV Gehler, S Nowozin Max Planck Institute for Biological Cybernetics, 2008	102	2008

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