| Unite the people: Closing the loop between 3d and 2d human representations C Lassner, J Romero, M Kiefel, F Bogo, MJ Black, PV Gehler Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 663 | 2017 |
| Learning sparse high dimensional filters: Image filtering, dense crfs and bilateral neural networks V Jampani, M Kiefel, PV Gehler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 245 | 2016 |
| Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance. PV Gehler, C Rother, M Kiefel, L Zhang, B Schölkopf NIPS 2, 4, 2011 | 230* | 2011 |
| Semantic instance annotation of street scenes by 3d to 2d label transfer J Xie, M Kiefel, MT Sun, A Geiger Proceedings of the IEEE conference on Computer Vision and Pattern …, 2016 | 221 | 2016 |
| Superpixel convolutional networks using bilateral inceptions R Gadde, V Jampani, M Kiefel, D Kappler, PV Gehler Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 158 | 2016 |
| Quasi-Newton methods: A new direction P Hennig, M Kiefel The Journal of Machine Learning Research 14 (1), 843-865, 2013 | 134 | 2013 |
| Learning an event sequence embedding for dense event-based deep stereo S Tulyakov, F Fleuret, M Kiefel, P Gehler, M Hirsch Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 107 | 2019 |
| Human pose estimation with fields of parts M Kiefel, PV Gehler Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 101 | 2014 |
| Permutohedral lattice cnns M Kiefel, V Jampani, PV Gehler arXiv preprint arXiv:1412.6618, 2014 | 39 | 2014 |
| Sparse Convolutional Networks using the Permutohedral Lattice M Kiefel, V Jampani, PV Gehler arXiv preprint arXiv:1503.04949, 2015 | 9 | 2015 |
| Nonlinear Bayesian estimation with compactly supported wavelets A Hekler, M Kiefel, UD Hanebeck Decision and Control (CDC), 2010 49th IEEE Conference on, 5701-5706, 2010 | 9 | 2010 |
| Learning task-specific generalized convolutions in the permutohedral lattice AS Wannenwetsch, M Kiefel, PV Gehler, S Roth German Conference on Pattern Recognition, 345-359, 2019 | 7 | 2019 |
| Stochastic Nonlinear Open-Loop Feedback Control with Guaranteed Error Bounds Using Compactly Supported Wavelets A Hekler, M Kiefel, UD Hanebeck | 2* | |
| Tractable Structured Prediction using the Permutohedral Lattice M Kiefel ETH Zurich, 2017 | 1 | 2017 |
| Probabilistic Progress Bars M Kiefel, C Schuler, P Hennig Pattern Recognition: 36th German Conference, GCPR 2014, Münster, Germany …, 2014 | 1 | 2014 |
| Barrista: Caffe Well-Served C Lassner, D Kappler, M Kiefel, P Gehler Proceedings of the 24th ACM international conference on Multimedia, 1210-1213, 2016 | | 2016 |
| Quasi-Newton method: A new direction P Hennig, M Kiefel Journal of Machine Learning Research 14 (Mar), 843-865, 2013 | | 2013 |
| Supplementary materials for paper: Learning an event sequence embedding for dense event-based deep stereo. S Tulyakov, F Fleuret, M Kiefel, P Gehler, M Hirsch | | |
| Supplementary Material for Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer J Xie, M Kiefel, MT Sun, A Geiger | | |
| Unite the People: Closing the loop between 3D and 2D Human Representations Supplementary Material C Lassner, J Romero, M Kiefel, F Bogo, MJ Black, PV Gehler | | |
Peter GehlerZalandoEmail verificata su zalando.de
