| 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 | 128 | 2010 |
| Clustering with hypergraphs: the case for large hyperedges P Purkait, TJ Chin, H Ackermann, D Suter European Conference on Computer Vision (ECCV), 2014 | 75 | 2014 |
| 3d reconstruction of human motion from monocular image sequences B Wandt, H Ackermann, B Rosenhahn IEEE transactions on pattern analysis and machine intelligence 38 (8), 1505-1516, 2016 | 47 | 2016 |
| On support relations and semantic scene graphs MY Yang, W Liao, H Ackermann, B Rosenhahn ISPRS journal of photogrammetry and remote sensing 131, 15-25, 2017 | 40 | 2017 |
| Deep learning for vanishing point detection using an inverse gnomonic projection F Kluger, H Ackermann, MY Yang, B Rosenhahn German Conference on Pattern Recognition, 17-28, 2017 | 28 | 2017 |
| Uncalibrated factorization using a variable symmetric affine camera K Kanatani, Y Sugaya, H Ackermann IEICE transactions on information and systems 90 (5), 851-858, 2007 | 18 | 2007 |
| 3D human motion capture from monocular image sequences B Wandt, H Ackermann, B Rosenhahn Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 10 | 2015 |
| A kinematic chain space for monocular motion capture B Wandt, H Ackermann, B Rosenhahn Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 9 | 2018 |
| Who With Whom And How? Extracting Large Social Networks Using Search Engines S Siersdorfer, P Kemkes, H Ackermann, S Zerr Proceedings of the 24th ACM International on Conference on Information and …, 2015 | 9 | 2015 |
| Consac: Robust multi-model fitting by conditional sample consensus F Kluger, E Brachmann, H Ackermann, C Rother, MY Yang, B Rosenhahn Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 8 | 2020 |
| Apathy is the root of all expressions S Graßhof, H Ackermann, SS Brandt, J Ostermann 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 8 | 2017 |
| Robust and Efficient 3-D Reconstruction by Self-Calibration. H Ackermann, K Kanatani MVA, 178-181, 2007 | 8 | 2007 |
| Object recognition from very few training examples for enhancing bicycle maps C Reinders, H Ackermann, MY Yang, B Rosenhahn 2018 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2018 | 7 | 2018 |
| Iterative low complexity factorization for projective reconstruction H Ackermann, K Kanatani International Workshop on Robot Vision, 153-164, 2008 | 7 | 2008 |
| Fast projective reconstruction: Toward ultimate efficiency H Ackermann, K Kanatani Information and Media Technologies 3 (2), 432-442, 2008 | 7 | 2008 |
| Temporally consistent horizon lines F Kluger, H Ackermann, MY Yang, B Rosenhahn 2020 IEEE International Conference on Robotics and Automation (ICRA), 3161-3167, 2020 | 6 | 2020 |
| Learning disentangled representations via independent subspaces M Awiszus, H Ackermann, B Rosenhahn Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 6 | 2019 |
| Region-based cycle-consistent data augmentation for object detection F Kluger, C Reinders, K Raetz, P Schelske, B Wandt, H Ackermann, ... 2018 IEEE International Conference on Big Data (Big Data), 5205-5211, 2018 | 6 | 2018 |
| Projective structure from facial motion S Graßhof, H Ackermann, F Kuhnke, J Ostermann, SS Brandt 2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017 | 6 | 2017 |
| Trajectory reconstruction for affine structure-from-motion by global and local constraints H Ackermann, B Rosenhahn 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2890-2897, 2009 | 6 | 2009 |
Bodo RosenhahnLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
