Peter Gehler

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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusEmail verificata su mpi-inf.mpg.de
Sebastian NowozinGoogle DeepMindEmail verificata su deepmind.com
Leonid PishchulinAmazonEmail verificata su amazon.com
Varun JampaniVice President of Research, Stability AIEmail verificata su stability.ai
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHEmail verificata su tuebingen.mpg.de
Martin KiefelMax Planck Institute for Intelligent Systems, TübingenEmail verificata su tuebingen.mpg.de
Mykhaylo AndrilukaResearch Scientist at Google DeepMindEmail verificata su google.com
Christoph LassnerWorld LabsEmail verificata su christophlassner.de
Raghudeep GaddeMPI-ISEmail verificata su tuebingen.mpg.de
Michael J. BlackMax Planck Institute for Intelligent SystemsEmail verificata su tuebingen.mpg.de
Federica BogoReality Labs ResearchEmail verificata su tuebingen.mpg.de
Javier RomeroReality Labs Research, MetaEmail verificata su tuebingen.mpg.de
Francesco LocatelloAssistant Professor, ISTAEmail verificata su ista.ac.at
Thomas BroxUniversity of FreiburgEmail verificata su cs.uni-freiburg.de
Michael StarkIntrinsicEmail verificata su intrinsic.ai
Bojan PepikApplied scientist at Amazon.comEmail verificata su amazon.de
Carsten RotherProfessor Uni Heidelberg / GermanyEmail verificata su iwr.uni-heidelberg.de
Gerard Pons-MollProfessor of Computer Science, University of TübingenEmail verificata su uni-tuebingen.de
Angjoo KanazawaUC BerkeleyEmail verificata su berkeley.edu
Bjoern AndresTU DresdenEmail verificata su andres.sc

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Peter Gehler

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Machine Learning Computer Vision


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	3229	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	1801	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	1346	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	789	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	637	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	542	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	288	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	241	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	206	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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