Peter Gehler

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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusAdresse e-mail validée de mpi-inf.mpg.de
Sebastian NowozinGoogle DeepMindAdresse e-mail validée de deepmind.com
Leonid PishchulinAmazonAdresse e-mail validée de amazon.com
Varun JampaniVice President of Research, Stability AIAdresse e-mail validée de stability.ai
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHAdresse e-mail validée de tuebingen.mpg.de
Martin KiefelMax Planck Institute for Intelligent Systems, TübingenAdresse e-mail validée de tuebingen.mpg.de
Mykhaylo AndrilukaResearch Scientist at Google DeepMindAdresse e-mail validée de google.com
Christoph LassnerWorld LabsAdresse e-mail validée de christophlassner.de
Raghudeep GaddeMPI-ISAdresse e-mail validée de tuebingen.mpg.de
Michael J. BlackMax Planck Institute for Intelligent SystemsAdresse e-mail validée de tuebingen.mpg.de
Federica BogoReality Labs ResearchAdresse e-mail validée de tuebingen.mpg.de
Javier RomeroReality Labs Research, MetaAdresse e-mail validée de tuebingen.mpg.de
Francesco LocatelloAssistant Professor, ISTAAdresse e-mail validée de ista.ac.at
Thomas BroxUniversity of FreiburgAdresse e-mail validée de cs.uni-freiburg.de
Michael StarkIntrinsicAdresse e-mail validée de intrinsic.ai
Bojan PepikApplied scientist at Amazon.comAdresse e-mail validée de amazon.de
Carsten RotherProfessor Uni Heidelberg / GermanyAdresse e-mail validée de iwr.uni-heidelberg.de
Gerard Pons-MollProfessor of Computer Science, University of TübingenAdresse e-mail validée de uni-tuebingen.de
Angjoo KanazawaUC BerkeleyAdresse e-mail validée de berkeley.edu
Bjoern AndresTU DresdenAdresse e-mail validée de andres.sc

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Peter Gehler

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Machine Learning Computer Vision


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	3248	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	1808	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	1348	2016
On feature combination for multiclass object classification P Gehler, S Nowozin International Conference on Computer Vision (ICCV), 221-228, 2009	1097	2009
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	802	2021
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	640	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	544	2018
Bayesian color constancy revisited PV Gehler, C Rother, A Blake, T Minka, T Sharp Computer Vision and Pattern Recognition (CVPR), 2008	532	2008
Poselet Conditioned Pictorial Structures L Pishchulin, M Andriluka, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	469	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	305	2012
Video propagation networks V Jampani, R Gadde, PV Gehler Computer Vision and Pattern Recognition (CVPR), 2017	289	2017
A generative model of people in clothing C Lassner, G Pons-Moll, PV Gehler International Conference on Computer Vision (ICCV) 6, 2017	279	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	277	2013
Semantic video CNNs through representation warping R Gadde, V Jampani, PV Gehler International Conference on Computer Vision (ICCV) 8, 9, 2017	270	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	242	2016
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	233	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	228*	2011
Efficient Nonlinear Markov Models for Human Motion AM Lehrmann, PV Gehler, S Nowozin Computer Vision and Pattern Recognition (CVPR), 2014	208	2014
Occlusion Patterns for Object Class Detection B Pepik, M Stark, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	165	2013
Superpixel Convolutional Networks using Bilateral Inceptions R Gadde, V Jampani, M Kiefel, PV Gehler European Conference on Computer Vision (ECCV), 2016	157	2016

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