| 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 | 152 | 2010 |
| Clustering with hypergraphs: the case for large hyperedges P Purkait, TJ Chin, H Ackermann, D Suter European Conference on Computer Vision (ECCV), 2014 | 114 | 2014 |
| Spatial-temporal transformer for dynamic scene graph generation Y Cong, W Liao, H Ackermann, B Rosenhahn, MY Yang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 73 | 2021 |
| 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 | 59 | 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 | 58 | 2017 |
| Deep learning for vanishing point detection using an inverse gnomonic projection F Kluger, H Ackermann, MY Yang, B Rosenhahn Pattern Recognition: 39th German Conference, GCPR 2017, Basel, Switzerland …, 2017 | 55 | 2017 |
| 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 | 39 | 2020 |
| 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 | 36 | 2018 |
| Learning convolutional neural networks for object detection with very little training data C Reinders, H Ackermann, MY Yang, B Rosenhahn Multimodal scene understanding, 65-100, 2019 | 31 | 2019 |
| 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 | 21 | 2007 |
| Nodis: Neural ordinary differential scene understanding Y Cong, H Ackermann, W Liao, MY Yang, B Rosenhahn Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 17 | 2020 |
| 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 | 17 | 2018 |
| 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 | 14 | 2018 |
| Cuboids revisited: Learning robust 3d shape fitting to single rgb images F Kluger, H Ackermann, E Brachmann, MY Yang, B Rosenhahn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 12 | 2021 |
| Learning disentangled representations via independent subspaces M Awiszus, H Ackermann, B Rosenhahn Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 12 | 2019 |
| 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 | 12 | 2017 |
| 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 | 12 | 2015 |
| 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 | 11 | 2015 |
| Temporally consistent horizon lines F Kluger, H Ackermann, MY Yang, B Rosenhahn 2020 IEEE International Conference on Robotics and Automation (ICRA), 3161-3167, 2020 | 10 | 2020 |
| Multilinear modelling of faces and expressions S Grasshof, H Ackermann, SS Brandt, J Ostermann IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (10), 3540 …, 2020 | 10 | 2020 |
Bodo RosenhahnL3S Research Center / Leibniz Universität HannoverVerified email at tnt.uni-hannover.de
