Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Wu, Shangzhe and Rupprecht, Christian and Vedaldi, Andrea
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Publications
You can also find my articles on my Google Scholar profile.
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents
Rupprecht, Christian and Ibrahim, Cyril and Pal, Christopher J
International Conference on Learning Representations, 2020
Semantic Image Manipulation Using Scene Graphs
Dhamo, Helisa and Farshad, Azade and Laina, Iro and Navab, Nassir and Hager, Gregory D and Tombari, Federico and Rupprecht, Christian
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Self-labelling via simultaneous clustering and representation learning
Asano, YM and Rupprecht, C and Vedaldi, A
International Conference on Learning Representations, 2020
A critical analysis of self-supervision, or what we can learn from a single image
Asano, YM and Rupprecht, C and Vedaldi, A
International Conference on Learning Representations, 2020
Classification of Polar Maps from Cardiac Perfusion Imaging with Graph-Convolutional Neural Networks
Spier, Nathalia and Nekolla, Stephan and Rupprecht, Christian and Mustafa, Mona and Navab, Nassir and Baust, Maximilian
Scientific reports, 2019
Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data
Manhardt, Fabian and Arroyo, Diego Martin and Rupprecht, Christian and Busam, Benjamin and Birdal, Tolga and Navab, Nassir and Tombari, Federico
Proceedings of the IEEE International Conference on Computer Vision, 2019
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings
Laina, Iro and Rupprecht, Christian and Navab, Nassir
Proceedings of the IEEE International Conference on Computer Vision, 2019
Guide Me: Interacting with Deep Networks
Rupprecht, Christian and Laina, Iro and Navab, Nassir and Harger, Gregory D. and Tombari, Federico
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018
Automatic segmentation of kidneys using deep learning for total kidney volume quantification in autosomal dominant polycystic kidney disease
Sharma, Kanishka and Rupprecht, Christian and Caroli, Anna and Aparicio, Maria Carolina and Remuzzi, Andrea and Baust, Maximilian and Navab, Nassir
Nature Scientific reports, 2017
Learning without prejudice: Avoiding bias in webly-supervised action recognition
Rupprecht, Christian and Kapil, Ansh and Liu, Nan and Ballan, Lamberto and Tombari, Federico
Computer Vision and Image Understanding, 2017
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Rupprecht, Christian and Laina, Iro and DiPietro, Robert and Baust, Maximilian and Tombari, Federico and Navab, Nassir and Hager, Gregory D
Proceedings of the IEEE International Conference on Computer Vision, 2017
Learning to Imagine Manipulation Goals for Robot Task Planning
Paxton, Chris and Katyal, Kapil and Rupprecht, Christian and Arora, Raman and Hager, Gregory D
arXiv preprint arXiv:1711.02783, 2017
Concurrent segmentation and localization for tracking of surgical instruments
Laina, Iro and Rieke, Nicola and Rupprecht, Christian and Vizca{\'\i}no, Josu{\'e} Page and Eslami, Abouzar and Tombari, Federico and Navab, Nassir
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2017
Sensor Substitution for Video-based Action Recognition
Rupprecht, Christian and Lea, Colin and Tombari, Federico and Navab, Nassir and Hager, Gregory D
Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on, 2016
Deep Active Contours
Rupprecht, Christian and Huaroc, Elizabeth and Baust, Maximilian and Navab, Nassir
arXiv preprint arXiv:1607.05074, 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks
Laina, Iro and Rupprecht, Christian and Belagiannis, Vasileios and Tombari, Federico and Navab, Nassir
3D Vision (3DV), 2016 Fourth International Conference on, 2016
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
Grün, Felix and Rupprecht, Christian and Navab, Nassir and Tombari, Federico
arXiv preprint arXiv:1606.07757, 2016
Hands-Free Segmentation of Medical Volumes via Binary Inputs
Dubost, Florian and Peter, Loic and Rupprecht, Christian and Becker, Benjamin Gutierrez and Navab, Nassir
Deep Learning and Data Labeling for Medical Applications, 2016
Image Segmentation in Twenty Questions
Rupprecht, Christian and Peter, Loic and Navab, Nassir
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Robust Optimization for Deep Regression
Belagiannis, Vasileios and Rupprecht, Christian and Carneiro, Gustavo and Navab, Nassir
Proceedings of the IEEE International Conference on Computer Vision, 2015
3D Semantic Parameterization for Human Shape Modeling: Application to 3D Animation
Rupprecht, Christian and Pauly, Olivier and Theobalt, Christian and Ilic, Slobodan
3D Vision-3DV 2013, 2013 International Conference on, 2013