| 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 | 2289 | 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 | 1255 | 2016 |
| On feature combination for multiclass object classification P Gehler, S Nowozin International Conference on Computer Vision (ICCV), 221-228, 2009 | 1074 | 2009 |
| 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 | 1042 | 2016 |
| Bayesian color constancy revisited PV Gehler, C Rother, A Blake, T Minka, T Sharp Computer Vision and Pattern Recognition (CVPR), 2008 | 463 | 2008 |
| 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 | 444 | 2017 |
| Poselet Conditioned Pictorial Structures L Pishchulin, M Andriluka, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013 | 417 | 2013 |
| 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 | 397 | 2018 |
| 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 | 301 | 2012 |
| 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 | 255 | 2013 |
| A generative model of people in clothing C Lassner, G Pons-Moll, PV Gehler International Conference on Computer Vision (ICCV) 6, 2017 | 244 | 2017 |
| Video propagation networks V Jampani, R Gadde, PV Gehler Computer Vision and Pattern Recognition (CVPR), 2017 | 231 | 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 | 203 | 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 | 199* | 2011 |
| Semantic video CNNs through representation warping R Gadde, V Jampani, PV Gehler International Conference on Computer Vision (ICCV) 8, 9, 2017 | 184 | 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 | 165 | 2017 |
| Occlusion Patterns for Object Class Detection B Pepik, M Stark, P Gehler, B Schiele Computer Vision and Pattern Recognition (CVPR), 2013 | 154 | 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 | 150 | 2006 |
| Efficient Nonlinear Markov Models for Human Motion AM Lehrmann, PV Gehler, S Nowozin Computer Vision and Pattern Recognition (CVPR), 2014 | 141 | 2014 |
| Deterministic annealing for multiple-instance learning P Gehler, O Chapelle Artificial Intelligence and Statistics (AIStats), 2007 | 129 | 2007 |
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
