Peter Gehler

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Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusPatvirtintas el. paštas mpi-inf.mpg.de
Sebastian NowozinGoogle DeepMindPatvirtintas el. paštas deepmind.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHPatvirtintas el. paštas tuebingen.mpg.de
Leonid PishchulinAmazonPatvirtintas el. paštas amazon.com
Varun JampaniVice President of Research, Stability AIPatvirtintas el. paštas stability.ai
Martin KiefelMax Planck Institute for Intelligent Systems, TübingenPatvirtintas el. paštas tuebingen.mpg.de
Mykhaylo AndrilukaResearch Scientist at Google DeepMindPatvirtintas el. paštas google.com
Christoph LassnerWorld LabsPatvirtintas el. paštas christophlassner.de
Raghudeep GaddeMPI-ISPatvirtintas el. paštas tuebingen.mpg.de
Michael J. BlackMax Planck Institute for Intelligent SystemsPatvirtintas el. paštas tuebingen.mpg.de
Francesco LocatelloAssistant Professor, ISTAPatvirtintas el. paštas ista.ac.at
Thomas BroxUniversity of FreiburgPatvirtintas el. paštas cs.uni-freiburg.de
Federica BogoReality Labs ResearchPatvirtintas el. paštas tuebingen.mpg.de
Javier RomeroReality Labs Research, MetaPatvirtintas el. paštas meta.com
Michael StarkIntrinsicPatvirtintas el. paštas intrinsic.ai
Bojan PepikApplied scientist at Amazon.comPatvirtintas el. paštas amazon.de
Carsten RotherProfessor Uni Heidelberg / GermanyPatvirtintas el. paštas iwr.uni-heidelberg.de
Gerard Pons-MollProfessor of Computer Science, University of TübingenPatvirtintas el. paštas uni-tuebingen.de
Angjoo KanazawaUC BerkeleyPatvirtintas el. paštas berkeley.edu
Jeremy JancsaryPrincipal Research Manager, MicrosoftPatvirtintas el. paštas microsoft.com

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Peter Gehler

Tübingen AI Center, University Tübingen

Patvirtintas el. paštas uni-tuebingen.de - Pagrindinis puslapis

Machine Learning Computer Vision


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	3458	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	1926	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	1401	2016
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	1130	2021
On feature combination for multiclass object classification P Gehler, S Nowozin International Conference on Computer Vision (ICCV), 221-228, 2009	1099	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	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	561	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	478	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	295	2017
A generative model of people in clothing C Lassner, G Pons-Moll, PV Gehler International Conference on Computer Vision (ICCV) 6, 2017	284	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	277	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	247	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
Efficient Nonlinear Markov Models for Human Motion AM Lehrmann, PV Gehler, S Nowozin Computer Vision and Pattern Recognition (CVPR), 2014	231	2014
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
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	166	2021
Occlusion Patterns for Object Class Detection B Pepik, M Stark, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013	165	2013

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