| Hands deep in deep learning for hand pose estimation M Oberweger, P Wohlhart, V Lepetit Computer Vision Winter Workshop, 2015 | 478 | 2015 |
| Honnotate: A method for 3d annotation of hand and object poses S Hampali, M Rad, M Oberweger, V Lepetit Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 378 | 2020 |
| Training a feedback loop for hand pose estimation M Oberweger, P Wohlhart, V Lepetit Proceedings of the IEEE international conference on computer vision, 3316-3324, 2015 | 349 | 2015 |
| Deepprior++: Improving fast and accurate 3d hand pose estimation M Oberweger, V Lepetit ICCV Workshops, 2017 | 311 | 2017 |
| Making deep heatmaps robust to partial occlusions for 3d object pose estimation M Oberweger, M Rad, V Lepetit Proceedings of the European conference on computer vision (ECCV), 119-134, 2018 | 271 | 2018 |
| Feature mapping for learning fast and accurate 3d pose inference from synthetic images M Rad, M Oberweger, V Lepetit Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 164 | 2018 |
| Efficiently creating 3D training data for fine hand pose estimation M Oberweger, G Riegler, P Wohlhart, V Lepetit Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 115 | 2016 |
| Efficient physics-based implementation for realistic hand-object interaction in virtual reality M Höll, M Oberweger, C Arth, V Lepetit 2018 IEEE conference on virtual reality and 3D user interfaces (VR), 175-182, 2018 | 110 | 2018 |
| Visual recognition and fault detection for power line insulators M Oberweger, A Wendel, H Bischof Computer Vision Winter Workshop, 2014 | 105 | 2014 |
| Generalized feedback loop for joint hand-object pose estimation M Oberweger, P Wohlhart, V Lepetit IEEE transactions on pattern analysis and machine intelligence 42 (8), 1898-1912, 2019 | 81 | 2019 |
| Methods and systems of performing object pose estimation M Rad, M Oberweger, V Lepetit US Patent 10,235,771, 2019 | 59 | 2019 |
| Domain transfer for 3d pose estimation from color images without manual annotations M Rad, M Oberweger, V Lepetit Asian Conference on Computer Vision, 69-84, 2018 | 58 | 2018 |
| Systems and methods for normalizing an image M Rad, M Oberweger, V Lepetit US Patent 10,325,351, 2019 | 40 | 2019 |
| Three-dimensional pose estimation of symmetrical objects M Rad, M Oberweger, V Lepetit US Patent 10,373,369, 2019 | 38 | 2019 |
| Handseg: An automatically labeled dataset for hand segmentation from depth images AK Bojja, F Mueller, SR Malireddi, M Oberweger, V Lepetit, C Theobalt, ... 2019 16th conference on computer and robot vision (CRV), 151-158, 2019 | 28 | 2019 |
| Ho-3d: A multi-user, multi-object dataset for joint 3d hand-object pose estimation S Hampali, M Oberweger, M Rad, V Lepetit arXiv preprint arXiv:1907.01481 2 (6), 14, 2019 | 26 | 2019 |
| Handseg: A dataset for hand segmentation from depth images SR Malireddi, F Mueller, M Oberweger, AK Bojja, V Lepetit, C Theobalt, ... ArXiv, abs/1711.05944 5, 2017 | 13 | 2017 |
| HO-3D: A Multi-User, Multi-Object Dataset for Joint 3D Hand-Object Pose Estimation SH Shivakumar, M Oberweger, M Rad, V Lepetit | 2 | 2019 |
| Systems and methods for normalizing an image M Rad, M Oberweger, V Lepetit | 1 | 2019 |
| Systems and methods for three-dimensional pose determination M Rad, M Oberweger, V Lepetit US Patent 11,532,094, 2022 | | 2022 |
