| 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 | 141 | 2019 |
| 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 | 54 | 2016 |
| 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 | 44 | 2021 |
| Optical flow-based 3d human motion estimation from monocular video T Alldieck, M Kassubeck, B Wandt, B Rosenhahn, M Magnor German Conference on Pattern Recognition, 347-360, 2017 | 43 | 2017 |
| Canonpose: Self-supervised monocular 3d human pose estimation in the wild B Wandt, M Rudolph, P Zell, H Rhodin, B Rosenhahn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 23 | 2021 |
| 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 | 19 | 2018 |
| Joint 3d human motion capture and physical analysis from monocular videos P Zell, B Wandt, B Rosenhahn Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 16 | 2017 |
| Structuring autoencoders M Rudolph, B Wandt, B Rosenhahn Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 12 | 2019 |
| 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 | 11 | 2015 |
| 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 | 10 | 2018 |
| Probabilistic monocular 3d human pose estimation with normalizing flows T Wehrbein, M Rudolph, B Rosenhahn, B Wandt Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 9 | 2021 |
| Extending hevc with a texture synthesis framework using detail-aware image decomposition B Wandt, T Laude, B Rosenhahn, J Ostermann 2018 Picture Coding Symposium (PCS), 144-148, 2018 | 5 | 2018 |
| Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection M Rudolph, T Wehrbein, B Rosenhahn, B Wandt Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 4 | 2022 |
| Extending HEVC using texture synthesis B Wandt, T Laude, Y Liu, B Rosenhahn, J Ostermann 2017 IEEE Visual Communications and Image Processing (VCIP), 1-4, 2017 | 4 | 2017 |
| Latentkeypointgan: Controlling gans via latent keypoints X He, B Wandt, H Rhodin arXiv preprint arXiv:2103.15812, 2021 | 3 | 2021 |
| Weakly-Supervised Learning of Human Dynamics P Zell, B Rosenhahn, B Wandt European Conference on Computer Vision, 68-84, 2020 | 3 | 2020 |
| Physics-Based Models for Human Gait Analysis P Zell, B Wandt, B Rosenhahn Springer International Publishing, 2016 | 2 | 2016 |
| GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation X He, B Wandt, H Rhodin arXiv preprint arXiv:2112.01036, 2021 | 1 | 2021 |
| AudioViewer: learning to visualize sound Y Zhang, W Peng, B Wandt, H Rhodin arXiv preprint arXiv:2012.13341, 2020 | 1 | 2020 |
| LatentKeypointGAN: Controlling Images via Latent Keypoints X He, B Wandt, H Rhodin arXiv preprint arXiv:2205.03448, 2022 | | 2022 |
Bodo RosenhahnLeibniz Universität HannoverVerified email at tnt.uni-hannover.de
