| OctNet: Learning Deep 3D Representations at High Resolutions G Riegler, AO Ulusoy, A Geiger arXiv preprint arXiv:1611.05009, 2016 | 432 | 2016 |
| Octnetfusion: Learning depth fusion from data G Riegler, AO Ulusoy, H Bischof, A Geiger 2017 International Conference on 3D Vision (3DV), 57-66, 2017 | 84 | 2017 |
| Atgv-net: Accurate depth super-resolution G Riegler, M Rüther, H Bischof European conference on computer vision, 268-284, 2016 | 69 | 2016 |
| 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 | 58 | 2016 |
| Conditioned Regression Models for Non-Blind Single Image Super-Resolution G Riegler, S Schulter, M Rüther, H Bischof International Conference on Computer Vision, 2015 | 41 | 2015 |
| A deep primal-dual network for guided depth super-resolution G Riegler, D Ferstl, M Rüther, H Bischof arXiv preprint arXiv:1607.08569, 2016 | 36 | 2016 |
| Hough Networks for Head Pose Estimation and Facial Feature Localization G Riegler, D Ferstl, M Rüther, H Bischof British Machine Vision Conference, 2014 | 32 | 2014 |
| Real-time flare detection in ground-based Hα imaging at Kanzelhöhe Observatory W Pötzi, AM Veronig, G Riegler, U Amerstorfer, T Pock, M Temmer, ... Solar physics 290 (3), 951-977, 2015 | 26 | 2015 |
| Learning Depth Calibration of Time-of-Flight Cameras. D Ferstl, C Reinbacher, G Riegler, M Rüther, H Bischof BMVC, 102.1-102.12, 2015 | 18 | 2015 |
| CP-Census: A Novel Model for Dense Variational Scene Flow from RGB-D Data D Ferstl, G Riegler, M Ruether, H Bischof British Machine Vision Conference, 2014 | 15 | 2014 |
| A framework for articulated hand pose estimation and evaluation G Riegler, D Ferstl, M Rüther, H Bischof Scandinavian Conference on Image Analysis, 41-52, 2015 | 11 | 2015 |
| Anatomical landmark detection in medical applications driven by synthetic data G Riegler, M Urschler, M Ruther, H Bischof, D Stern Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 10 | 2015 |
| aTGV-SF: Dense variational scene flow through projective warping and higher order regularization D Ferstl, C Reinbacher, G Riegler, M Rüther, H Bischof 2014 2nd International Conference on 3D Vision 1, 285-292, 2014 | 8 | 2014 |
| Depth Restoration via Joint Training of a Global Regression Model and CNNs G Riegler, R Ranftl, M Rüther, T Pock, H Bischof Proceedings of the British Machine Vision Conference (BMVC), 2015 | 5 | 2015 |
| Filament and Flare Detection in H {\alpha} image sequences G Riegler, T Pock, W Pötzi, A Veronig arXiv preprint arXiv:1304.7132, 2013 | 3 | 2013 |
| Flare and filament detection in Hα solar image sequences GE Riegler na, 2013 | 3 | 2013 |
| A system for near real-time detection of filament eruptions at Kanzelhöhe Observatory W Pötzi, G Riegler, A Veronig, T Pock, U Möstl Proceedings of the International Astronomical Union 8 (S300), 519-520, 2013 | 1 | 2013 |
| Multisensorgestützte Verhaltensanalysen in urbanen Umgebungen S Ladstätter, A Almer, PM Luley, G Riegler, L Paletta Blaschke, T.(Hrsg.), 676-681, 0 | 1 | |
| Connecting the Dots: Learning Representations for Active Monocular Depth Estimation G Riegler, Y Liao, S Donne, V Koltun, A Geiger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | | 2019 |
| Feedback Loop and Accurate Training Data for 3D Hand Pose Estimation M Oberweger, G Riegler, P Wohlhart, V Lepetit OAGM&ARW Joint Workshop, 2017 | | 2017 |
