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Gernot Riegler
Gernot Riegler
Luma
Verified email at lumalabs.ai
Title
Cited by
Cited by
Year
OctNet: Learning Deep 3D Representations at High Resolutions
G Riegler, AO Ulusoy, A Geiger
arXiv preprint arXiv:1611.05009, 2016
16862016
Nerf++: Analyzing and improving neural radiance fields
K Zhang, G Riegler, N Snavely, V Koltun
arXiv preprint arXiv:2010.07492, 2020
7242020
Free view synthesis
G Riegler, V Koltun
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
2822020
Octnetfusion: Learning depth fusion from data
G Riegler, AO Ulusoy, H Bischof, A Geiger
2017 International Conference on 3D Vision (3DV), 57-66, 2017
2162017
Stable view synthesis
G Riegler, V Koltun
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1942021
Atgv-net: Accurate depth super-resolution
G Riegler, M Rüther, H Bischof
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
1662016
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
1112016
Conditioned Regression Models for Non-Blind Single Image Super-Resolution
G Riegler, S Schulter, M Rüther, H Bischof
International Conference on Computer Vision, 2015
1012015
A deep primal-dual network for guided depth super-resolution
G Riegler, D Ferstl, M Rüther, H Bischof
arXiv preprint arXiv:1607.08569, 2016
902016
Hough Networks for Head Pose Estimation and Facial Feature Localization
G Riegler, D Ferstl, M Rüther, H Bischof
British Machine Vision Conference, 2014
452014
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, 951-977, 2015
442015
On joint estimation of pose, geometry and svbrdf from a handheld scanner
C Schmitt, S Donne, G Riegler, V Koltun, A Geiger
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
372020
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
342019
Learning Depth Calibration of Time-of-Flight Cameras.
D Ferstl, C Reinbacher, G Riegler, M Rüther, H Bischof
BMVC, 102.1-102.12, 2015
332015
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
272015
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
152014
A framework for articulated hand pose estimation and evaluation
G Riegler, D Ferstl, M Rüther, H Bischof
Image Analysis: 19th Scandinavian Conference, SCIA 2015, Copenhagen, Denmark …, 2015
142015
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
102015
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
92014
Filament and Flare Detection in H {\alpha} image sequences
G Riegler, T Pock, W Pötzi, A Veronig
arXiv preprint arXiv:1304.7132, 2013
42013
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Articles 1–20