Peter Gehler

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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 LassnerFacebook Reality Labs ResearchVerified email at fb.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
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Jeremy JancsarySenior Principal Research Scientist, Nuance CommunicationsVerified email at nuance.com
Angjoo KanazawaUC Berkeley, Google ResearchVerified email at berkeley.edu
Gerard Pons-MollProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.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

Peter Gehler

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Machine Learning Computer Vision


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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	1512	2014
On feature combination for multiclass object classification P Gehler, S Nowozin International Conference on Computer Vision (ICCV), 221-228, 2009	1051	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	794	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	734	2016
Bayesian color constancy revisited PV Gehler, C Rother, A Blake, T Minka, T Sharp Computer Vision and Pattern Recognition (CVPR), 2008	404	2008
Poselet Conditioned Pictorial Structures L Pishchulin, M Andriluka, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	360	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	289	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	281	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	239	2018
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	229	2013
A generative model of people in clothing C Lassner, G Pons-Moll, PV Gehler International Conference on Computer Vision (ICCV) 6, 2017	178	2017
Video propagation networks V Jampani, R Gadde, PV Gehler Computer Vision and Pattern Recognition (CVPR), 2017	169	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	166*	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	158	2016
Occlusion Patterns for Object Class Detection B Pepik, M Stark, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	148	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	145	2006
Deterministic annealing for multiple-instance learning P Gehler, O Chapelle Artificial Intelligence and Statistics (AIStats), 2007	121	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	114	2010
3d2pm–3d deformable part models B Pepik, P Gehler, M Stark, B Schiele European Conference on Computer Vision (ECCV), 356-370, 2012	113	2012
Semantic video CNNs through representation warping R Gadde, V Jampani, PV Gehler International Conference on Computer Vision (ICCV) 8, 9, 2017	106	2017

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