Peter Gehler

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	Toate	Din 2020
Referințe bibliografice	16651	10251
h-index	43	31
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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusAdresă de e-mail confirmată pe mpi-inf.mpg.de
Sebastian NowozinGoogle DeepMindAdresă de e-mail confirmată pe deepmind.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHAdresă de e-mail confirmată pe tuebingen.mpg.de
Leonid PishchulinAmazonAdresă de e-mail confirmată pe amazon.com
Varun JampaniVice President of Research, Stability AIAdresă de e-mail confirmată pe stability.ai
Martin KiefelMax Planck Institute for Intelligent Systems, TübingenAdresă de e-mail confirmată pe tuebingen.mpg.de
Mykhaylo AndrilukaResearch Scientist at Google DeepMindAdresă de e-mail confirmată pe google.com
Christoph LassnerWorld LabsAdresă de e-mail confirmată pe christophlassner.de
Raghudeep GaddeMPI-ISAdresă de e-mail confirmată pe tuebingen.mpg.de
Michael J. BlackMax Planck Institute for Intelligent SystemsAdresă de e-mail confirmată pe tuebingen.mpg.de
Francesco LocatelloAssistant Professor, ISTAAdresă de e-mail confirmată pe ista.ac.at
Thomas BroxUniversity of FreiburgAdresă de e-mail confirmată pe cs.uni-freiburg.de
Federica BogoReality Labs ResearchAdresă de e-mail confirmată pe tuebingen.mpg.de
Javier RomeroReality Labs Research, MetaAdresă de e-mail confirmată pe meta.com
Michael StarkIntrinsicAdresă de e-mail confirmată pe intrinsic.ai
Bojan PepikApplied scientist at Amazon.comAdresă de e-mail confirmată pe amazon.de
Carsten RotherProfessor Uni Heidelberg / GermanyAdresă de e-mail confirmată pe iwr.uni-heidelberg.de
Gerard Pons-MollProfessor of Computer Science, University of TübingenAdresă de e-mail confirmată pe uni-tuebingen.de
Angjoo KanazawaUC BerkeleyAdresă de e-mail confirmată pe berkeley.edu
Jeremy JancsaryPrincipal Research Manager, MicrosoftAdresă de e-mail confirmată pe microsoft.com

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Peter Gehler

Tübingen AI Center, University Tübingen

Adresă de e-mail confirmată pe uni-tuebingen.de - Pagina de pornire

Machine Learning Computer Vision


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	3438	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	1908	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	1394	2016
On feature combination for multiclass object classification P Gehler, S Nowozin International Conference on Computer Vision (ICCV), 221-228, 2009	1099	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	1090	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	666	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	559	2018
Bayesian color constancy revisited PV Gehler, C Rother, A Blake, T Minka, T Sharp Computer Vision and Pattern Recognition (CVPR), 2008	553	2008
Poselet Conditioned Pictorial Structures L Pishchulin, M Andriluka, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	477	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	308	2012
Video propagation networks V Jampani, R Gadde, PV Gehler Computer Vision and Pattern Recognition (CVPR), 2017	293	2017
A generative model of people in clothing C Lassner, G Pons-Moll, PV Gehler International Conference on Computer Vision (ICCV) 6, 2017	283	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	282	2013
Semantic video CNNs through representation warping R Gadde, V Jampani, PV Gehler International Conference on Computer Vision (ICCV) 8, 9, 2017	276	2017
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	245	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	244	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	230*	2011
Efficient Nonlinear Markov Models for Human Motion AM Lehrmann, PV Gehler, S Nowozin Computer Vision and Pattern Recognition (CVPR), 2014	225	2014
Occlusion Patterns for Object Class Detection B Pepik, M Stark, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	165	2013
Crossclr: Cross-modal contrastive learning for multi-modal video representations M Zolfaghari, Y Zhu, P Gehler, T Brox Proceedings of the IEEE/CVF international conference on computer vision …, 2021	164	2021

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