Peter Gehler

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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Sebastian NowozinGoogle DeepMindVerified email at deepmind.com
Leonid PishchulinAmazonVerified email at amazon.com
Varun JampaniResearcher, Google ResearchVerified email at google.com
Martin KiefelMax Planck Institute for Intelligent Systems, TübingenVerified email at tuebingen.mpg.de
Mykhaylo AndrilukaGoogle ResearchVerified email at google.com
Christoph LassnerEpic GamesVerified email at epicgames.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Raghudeep GaddeMPI-ISVerified email at tuebingen.mpg.de
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Federica BogoReality Labs ResearchVerified email at tuebingen.mpg.de
Javier RomeroReality Labs Research, MetaVerified email at tuebingen.mpg.de
Michael StarkVicariousVerified email at vicarious.com
Bojan PepikApplied scientist at Amazon.comVerified email at amazon.de
Francesco LocatelloAssistant Professor, ISTAVerified email at ista.ac.at
Jeremy JancsarySenior Principal Research Scientist, Nuance CommunicationsVerified email at nuance.com
Carsten RotherProfessor Uni Heidelberg / GermanyVerified email at iwr.uni-heidelberg.de
Gerard Pons-MollProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Angjoo KanazawaUC BerkeleyVerified email at berkeley.edu
Thomas BroxUniversity of Freiburg and AmazonVerified email at cs.uni-freiburg.de

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	2666	2014
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	1474	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	1180	2016
On feature combination for multiclass object classification P Gehler, S Nowozin International Conference on Computer Vision (ICCV), 221-228, 2009	1093	2009
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	526	2017
Bayesian color constancy revisited PV Gehler, C Rother, A Blake, T Minka, T Sharp Computer Vision and Pattern Recognition (CVPR), 2008	487	2008
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	466	2018
Poselet Conditioned Pictorial Structures L Pishchulin, M Andriluka, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	434	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	307	2012
Towards total recall in industrial anomaly detection K Roth, L Pemula, J Zepeda, B Schölkopf, T Brox, P Gehler Computer Vision and Patter Recognition (CVPR), 2021	272	2021
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	267	2013
A generative model of people in clothing C Lassner, G Pons-Moll, PV Gehler International Conference on Computer Vision (ICCV) 6, 2017	265	2017
Video propagation networks V Jampani, R Gadde, PV Gehler Computer Vision and Pattern Recognition (CVPR), 2017	252	2017
Semantic video CNNs through representation warping R Gadde, V Jampani, PV Gehler International Conference on Computer Vision (ICCV) 8, 9, 2017	223	2017
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	223	2016
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	215*	2011
Towards accurate marker-less human shape and pose estimation over time Y Huang, F Bogo, C Lassner, A Kanazawa, P Gehler, I Akhter, M Black International Conference on 3D Vision (3DV), 421-430, 2017	201	2017
Efficient Nonlinear Markov Models for Human Motion AM Lehrmann, PV Gehler, S Nowozin Computer Vision and Pattern Recognition (CVPR), 2014	175	2014
Occlusion Patterns for Object Class Detection B Pepik, M Stark, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	158	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	153	2006

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