Christian Rupprecht
Christian Rupprecht
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TitelZitiert vonJahr
Deeper Depth Prediction with Fully Convolutional Residual Networks
I Laina, C Rupprecht, V Belagiannis, F Tombari, N Navab
3D Vision (3DV), 2016 Fourth International Conference on, 239-248, 2016
Robust Optimization for Deep Regression
V Belagiannis, C Rupprecht, G Carneiro, N Navab
Proceedings of the IEEE International Conference on Computer Vision, 2015
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
F Grün, C Rupprecht, N Navab, F Tombari
arXiv preprint arXiv:1606.07757, 2016
Concurrent segmentation and localization for tracking of surgical instruments
I Laina, N Rieke, C Rupprecht, JP Vizcaíno, A Eslami, F Tombari, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Automatic segmentation of kidneys using deep learning for total kidney volume quantification in autosomal dominant polycystic kidney disease
K Sharma, C Rupprecht, A Caroli, MC Aparicio, A Remuzzi, M Baust, ...
Scientific reports 7 (1), 2049, 2017
Learning in an uncertain world: Representing ambiguity through multiple hypotheses
C Rupprecht, I Laina, R DiPietro, M Baust, F Tombari, N Navab, GD Hager
International Conference on Computer Vision (ICCV), 2017
Deep Active Contours
C Rupprecht, E Huaroc, M Baust, N Navab
arXiv preprint arXiv:1607.05074, 2016
Image segmentation in twenty questions
C Rupprecht, L Peter, N Navab
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Sensor Substitution for Video-based Action Recognition
C Rupprecht, C Lea, F Tombari, N Navab, GD Hager
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), 2016
Guide me: Interacting with deep networks
C Rupprecht, I Laina, N Navab, GD Hager, F Tombari
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies
R DiPietro, C Rupprecht, N Navab, GD Hager
arXiv preprint arXiv:1702.07805, 2017
Leukotriene Receptor Blockade as a Life-Saving Treatment in Severe Bronchopulmonary Dysplasia
T Rupprecht, C Rupprecht, D Harms, W Sterlacci, M Vieth, K Seybold
Respiration 88 (4), 285-290, 2014
Hands-Free Segmentation of Medical Volumes via Binary Inputs
F Dubost, L Peter, C Rupprecht, BG Becker, N Navab
Deep Learning and Data Labeling for Medical Applications, 259-268, 2016
Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests
K Sharma, L Peter, C Rupprecht, A Caroli, L Wang, A Remuzzi, M Baust, ...
arXiv preprint arXiv:1510.06915, 2015
3d semantic parameterization for human shape modeling: Application to 3d animation
C Rupprecht, O Pauly, C Theobalt, S Ilic
2013 International Conference on 3D Vision-3DV 2013, 255-262, 2013
Dealing with ambiguity in robotic grasping via multiple predictions
G Ghazaei, I Laina, C Rupprecht, F Tombari, N Navab, K Nazarpour
Asian Conference on Computer Vision, 38-55, 2018
Understanding Regularization to Visualize Convolutional Neural Networks
M Baust, F Ludwig, C Rupprecht, M Kohl, S Braunewell
arXiv preprint arXiv:1805.00071, 2018
The physical basics of magnetic-guided capsule endoscopy of the stomach and results of a feasibility study in the porcine stomach
T Rupprecht, C Rupprecht, S Mühldorfer, M Vieth, M Zapke
Endoscopy 44 (04), 437-438, 2012
Learning to Imagine Manipulation Goals for Robot Task Planning
C Paxton, K Katyal, C Rupprecht, R Arora, GD Hager
arXiv preprint arXiv:1711.02783, 2017
Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data
F Manhardt, DM Arroyo, C Rupprecht, B Busam, N Navab, F Tombari
arXiv preprint arXiv:1812.00287, 2018
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