OctNet: Learning Deep 3D Representations at High Resolutions G Riegler, AO Ulusoy, A Geiger arXiv preprint arXiv:1611.05009, 2016 | 794 | 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 | 132 | 2017 |
Atgv-net: Accurate depth super-resolution G Riegler, M Rüther, H Bischof European conference on computer vision, 268-284, 2016 | 96 | 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 | 80 | 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 | 63 | 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 | 53 | 2016 |
Hough Networks for Head Pose Estimation and Facial Feature Localization G Riegler, D Ferstl, M Rüther, H Bischof British Machine Vision Conference, 2014 | 39 | 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 | 34 | 2015 |
Nerf++: Analyzing and improving neural radiance fields K Zhang, G Riegler, N Snavely, V Koltun arXiv preprint arXiv:2010.07492, 2020 | 21 | 2020 |
Learning Depth Calibration of Time-of-Flight Cameras. D Ferstl, C Reinbacher, G Riegler, M Rüther, H Bischof BMVC, 102.1-102.12, 2015 | 21 | 2015 |
Free view synthesis G Riegler, V Koltun European Conference on Computer Vision, 623-640, 2020 | 19 | 2020 |
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 | 17 | 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 | 13 | 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 | 12 | 2015 |
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 | 9 | 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 |
Connecting the dots: Learning representations for active monocular depth estimation G Riegler, Y Liao, S Donne, V Koltun, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 7 | 2019 |
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner C Schmitt, S Donné, G Riegler, V Koltun, A Geiger Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 5 | 2020 |
Stable View Synthesis G Riegler, V Koltun arXiv preprint arXiv:2011.07233, 2020 | 4 | 2020 |
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 |