| Recovering accurate 3d human pose in the wild using imus and a moving camera T Von Marcard, R Henschel, MJ Black, B Rosenhahn, G Pons-Moll Proceedings of the European conference on computer vision (ECCV), 601-617, 2018 | 628 | 2018 |
| Motion capture using joint skeleton tracking and surface estimation J Gall, C Stoll, E De Aguiar, C Theobalt, B Rosenhahn, HP Seidel 2009 IEEE Conference on Computer Vision and Pattern Recognition, 1746-1753, 2009 | 507 | 2009 |
| A statistical model of human pose and body shape N Hasler, C Stoll, M Sunkel, B Rosenhahn, HP Seidel Computer graphics forum 28 (2), 337-346, 2009 | 503 | 2009 |
| Optimization and filtering for human motion capture: A multi-layer framework J Gall, B Rosenhahn, T Brox, HP Seidel International journal of computer vision 87, 75-92, 2010 | 317 | 2010 |
| Learning an image-based motion context for multiple people tracking L Leal-Taixé, M Fenzi, A Kuznetsova, B Rosenhahn, S Savarese Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 266 | 2014 |
| Markerless motion capture with unsynchronized moving cameras N Hasler, B Rosenhahn, T Thormahlen, M Wand, J Gall, HP Seidel 2009 IEEE Conference on Computer Vision and Pattern Recognition, 224-231, 2009 | 260 | 2009 |
| Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker L Leal-Taixé, G Pons-Moll, B Rosenhahn 2011 IEEE international conference on computer vision workshops (ICCV …, 2011 | 244 | 2011 |
| Sparse inertial poser: Automatic 3d human pose estimation from sparse imus T Von Marcard, B Rosenhahn, MJ Black, G Pons‐Moll Computer graphics forum 36 (2), 349-360, 2017 | 221 | 2017 |
| Repnet: Weakly supervised training of an adversarial reprojection network for 3d human pose estimation B Wandt, B Rosenhahn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 210 | 2019 |
| Complementary optic flow H Zimmer, A Bruhn, J Weickert, L Valgaerts, A Salgado, B Rosenhahn, ... Energy Minimization Methods in Computer Vision and Pattern Recognition: 7th …, 2009 | 168 | 2009 |
| Fusion of head and full-body detectors for multi-object tracking R Henschel, L Leal-Taixé, D Cremers, B Rosenhahn Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 167 | 2018 |
| Combined region and motion-based 3D tracking of rigid and articulated objects T Brox, B Rosenhahn, J Gall, D Cremers IEEE transactions on pattern analysis and machine intelligence 32 (3), 402-415, 2009 | 164 | 2009 |
| Same same but differnet: Semi-supervised defect detection with normalizing flows M Rudolph, B Wandt, B Rosenhahn Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 157 | 2021 |
| Three-dimensional shape knowledge for joint image segmentation and pose tracking B Rosenhahn, T Brox, J Weickert International Journal of Computer Vision 73, 243-262, 2007 | 156 | 2007 |
| Real-time sign language recognition using a consumer depth camera A Kuznetsova, L Leal-Taixé, B Rosenhahn Proceedings of the IEEE international conference on computer vision …, 2013 | 153 | 2013 |
| Multilinear pose and body shape estimation of dressed subjects from image sets N Hasler, H Ackermann, B Rosenhahn, T Thormählen, HP Seidel 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 149 | 2010 |
| Multisensor-fusion for 3d full-body human motion capture G Pons-Moll, A Baak, T Helten, M Müller, HP Seidel, B Rosenhahn 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 149 | 2010 |
| Human pose estimation from video and imus T Von Marcard, G Pons-Moll, B Rosenhahn IEEE transactions on pattern analysis and machine intelligence 38 (8), 1533-1547, 2016 | 143 | 2016 |
| Estimating body shape of dressed humans N Hasler, C Stoll, B Rosenhahn, T Thormählen, HP Seidel Computers & Graphics 33 (3), 211-216, 2009 | 122 | 2009 |
| Lifted disjoint paths with application in multiple object tracking A Hornakova, R Henschel, B Rosenhahn, P Swoboda International Conference on Machine Learning, 4364-4375, 2020 | 108 | 2020 |
Hans-Peter SeidelProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusVerified email at mpi-inf.mpg.de
