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Christian Rupprecht 0001
Person information

- affiliation: University of Oxford, Visual Geometry Group, UK
- affiliation (PhD 2018): Technical University of Munich, Germany
- affiliation: Johns Hopkins University, Computer Aided Medical Procedures, Baltimore, USA
Other persons with the same name
- Christian Rupprecht 0002 — Karlsruhe Institute of Technology, Germany (and 1 more)
- Christian Rupprecht 0003 — TU Berlin, Chair of Coating Technology, Germany
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2020 – today
- 2023
- [j2]Shangzhe Wu
, Christian Rupprecht, Andrea Vedaldi
:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild (Invited Paper). IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5268-5281 (2023) - [i40]Felix Wimbauer, Nan Yang, Christian Rupprecht, Daniel Cremers:
Behind the Scenes: Density Fields for Single View Reconstruction. CoRR abs/2301.07668 (2023) - [i39]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
RealFusion: 360° Reconstruction of Any Object from a Single Image. CoRR abs/2302.10663 (2023) - [i38]Luke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi:
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. CoRR abs/2302.10668 (2023) - 2022
- [c31]Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. BMVC 2022: 554 - [c30]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CVPR 2022: 8354-8365 - [c29]Felix Wimbauer, Shangzhe Wu, Christian Rupprecht:
De-rendering 3D Objects in the Wild. CVPR 2022: 18469-18478 - [c28]Laura Hanu
, James Thewlis
, Yuki M. Asano
, Christian Rupprecht
:
VTC: Improving Video-Text Retrieval with User Comments. ECCV (35) 2022: 616-633 - [c27]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. ICLR 2022 - [i37]Felix Wimbauer, Shangzhe Wu, Christian Rupprecht:
De-rendering 3D Objects in the Wild. CoRR abs/2201.02279 (2022) - [i36]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CoRR abs/2205.07839 (2022) - [i35]Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. CoRR abs/2205.07844 (2022) - [i34]Laura Hanu, James Thewlis, Yuki M. Asano, Christian Rupprecht:
VTC: Improving Video-Text Retrieval with User Comments. CoRR abs/2210.10820 (2022) - [i33]Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns. CoRR abs/2210.12148 (2022) - [i32]Shangzhe Wu, Ruining Li, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
MagicPony: Learning Articulated 3D Animals in the Wild. CoRR abs/2211.12497 (2022) - 2021
- [c26]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. BMVC 2021: 117 - [c25]Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab:
Neural Response Interpretation Through the Lens of Critical Pathways. CVPR 2021: 13528-13538 - [c24]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild (Extended Abstract). IJCAI 2021: 4854-4858 - [c23]Yuki M. Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi:
PASS: An ImageNet replacement for self-supervised pretraining without humans. NeurIPS Datasets and Benchmarks 2021 - [c22]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Part Discovery from Contrastive Reconstruction. NeurIPS 2021: 28104-28118 - [c21]Laurynas Karazija, Iro Laina, Christian Rupprecht:
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. NeurIPS Datasets and Benchmarks 2021 - [i31]Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab:
Neural Response Interpretation through the Lens of Critical Pathways. CoRR abs/2103.16886 (2021) - [i30]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models. CoRR abs/2105.08127 (2021) - [i29]Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi:
DOVE: Learning Deformable 3D Objects by Watching Videos. CoRR abs/2107.10844 (2021) - [i28]Yuki Markus Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi:
PASS: An ImageNet replacement for self-supervised pretraining without humans. CoRR abs/2109.13228 (2021) - [i27]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. CoRR abs/2111.03651 (2021) - [i26]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Part Discovery from Contrastive Reconstruction. CoRR abs/2111.06349 (2021) - [i25]Laurynas Karazija, Iro Laina, Christian Rupprecht:
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. CoRR abs/2111.10265 (2021) - 2020
- [c20]Shangzhe Wu
, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild. CVPR 2020: 1-10 - [c19]Helisa Dhamo, Azade Farshad
, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. CVPR 2020: 5212-5221 - [c18]Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal:
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. ICLR 2020 - [c17]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
A critical analysis of self-supervision, or what we can learn from a single image. ICLR 2020 - [c16]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Self-labelling via simultaneous clustering and representation learning. ICLR 2020 - [c15]Yuki Markus Asano, Mandela Patrick, Christian Rupprecht, Andrea Vedaldi:
Labelling unlabelled videos from scratch with multi-modal self-supervision. NeurIPS 2020 - [i24]Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. CoRR abs/2004.03677 (2020) - [i23]Yuki Markus Asano, Mandela Patrick, Christian Rupprecht, Andrea Vedaldi:
Labelling unlabelled videos from scratch with multi-modal self-supervision. CoRR abs/2006.13662 (2020)
2010 – 2019
- 2019
- [c14]Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam
, Tolga Birdal, Nassir Navab, Federico Tombari:
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data. ICCV 2019: 6840-6849 - [c13]Iro Laina, Christian Rupprecht, Nassir Navab:
Towards Unsupervised Image Captioning With Shared Multimodal Embeddings. ICCV 2019: 7413-7423 - [c12]Henry Martin, Dominik Bucher, Ye Hong, René Buffat, Christian Rupprecht, Martin Raubal:
Graph-ResNets for short-term traffic forecasts in almost unknown cities. NeurIPS (Competition and Demos) 2019: 153-163 - [i22]Christian Rupprecht, Cyril Ibrahim, Christopher J. Pal:
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents. CoRR abs/1904.01318 (2019) - [i21]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Surprising Effectiveness of Few-Image Unsupervised Feature Learning. CoRR abs/1904.13132 (2019) - [i20]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images. CoRR abs/1906.01568 (2019) - [i19]Iro Laina, Christian Rupprecht, Nassir Navab:
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings. CoRR abs/1908.09317 (2019) - [i18]Henry Martin, Ye Hong, Dominik Bucher, Christian Rupprecht, René Buffat:
Traffic4cast-Traffic Map Movie Forecasting - Team MIE-Lab. CoRR abs/1910.13824 (2019) - [i17]Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi:
Self-labelling via simultaneous clustering and representation learning. CoRR abs/1911.05371 (2019) - [i16]Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild. CoRR abs/1911.11130 (2019) - 2018
- [b1]Christian Rupprecht:
Learning under Ambiguity through Multiple Predictions. Technical University of Munich, Germany, 2018 - [j1]Christian Rupprecht
, Ansh Kapil, Nan Liu, Lamberto Ballan, Federico Tombari:
Learning without prejudice: Avoiding bias in webly-supervised action recognition. Comput. Vis. Image Underst. 173: 24-32 (2018) - [c11]Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour:
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. ACCV (4) 2018: 38-55 - [c10]Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari:
Guide Me: Interacting With Deep Networks. CVPR 2018: 8551-8561 - [c9]Robert S. DiPietro, Christian Rupprecht, Nassir Navab, Gregory D. Hager:
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies. ICLR (Workshop) 2018 - [i15]Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari:
Guide Me: Interacting with Deep Networks. CoRR abs/1803.11544 (2018) - [i14]Maximilian Baust, Florian Ludwig, Christian Rupprecht, Matthias Kohl, Stefan Braunewell:
Understanding Regularization to Visualize Convolutional Neural Networks. CoRR abs/1805.00071 (2018) - [i13]Salvatore Virga, Christian Rupprecht, Nassir Navab, Christoph Hennersperger:
Incremental Adversarial Learning for Optimal Path Planning. CoRR abs/1809.09433 (2018) - [i12]Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour:
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. CoRR abs/1811.00793 (2018) - [i11]Fabian Manhardt, Diego Martín Arroyo, Christian Rupprecht, Benjamin Busam, Nassir Navab, Federico Tombari:
Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data. CoRR abs/1812.00287 (2018) - 2017
- [c8]Christian Rupprecht, Iro Laina, Robert S. DiPietro, Maximilian Baust:
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. ICCV 2017: 3611-3620 - [c7]Iro Laina, Nicola Rieke
, Christian Rupprecht, Josué Page Vizcaíno, Abouzar Eslami, Federico Tombari, Nassir Navab:
Concurrent Segmentation and Localization for Tracking of Surgical Instruments. MICCAI (2) 2017: 664-672 - [i10]Iro Laina, Nicola Rieke, Christian Rupprecht, Josué Page Vizcaíno, Abouzar Eslami, Federico Tombari, Nassir Navab:
Concurrent Segmentation and Localization for Tracking of Surgical Instruments. CoRR abs/1703.10701 (2017) - [i9]Christian Rupprecht, Ansh Kapil, Nan Liu, Lamberto Ballan, Federico Tombari:
Learning without Prejudice: Avoiding Bias in Webly-Supervised Action Recognition. CoRR abs/1706.04589 (2017) - [i8]Chris Paxton, Kapil D. Katyal, Christian Rupprecht, Raman Arora, Gregory D. Hager:
Learning to Imagine Manipulation Goals for Robot Task Planning. CoRR abs/1711.02783 (2017) - 2016
- [c6]Iro Laina, Christian Rupprecht, Vasileios Belagiannis
, Federico Tombari, Nassir Navab:
Deeper Depth Prediction with Fully Convolutional Residual Networks. 3DV 2016: 239-248 - [c5]Christian Rupprecht, Colin Lea, Federico Tombari, Nassir Navab, Gregory D. Hager:
Sensor substitution for video-based action recognition. IROS 2016: 5230-5237 - [c4]Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab:
Hands-Free Segmentation of Medical Volumes via Binary Inputs. LABELS/DLMIA@MICCAI 2016: 259-268 - [i7]Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab:
Deeper Depth Prediction with Fully Convolutional Residual Networks. CoRR abs/1606.00373 (2016) - [i6]Felix Grün, Christian Rupprecht, Nassir Navab, Federico Tombari:
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks. CoRR abs/1606.07757 (2016) - [i5]Christian Rupprecht, Elizabeth Huaroc, Maximilian Baust, Nassir Navab:
Deep Active Contours. CoRR abs/1607.05074 (2016) - [i4]Florian Dubost, Loïc Peter, Christian Rupprecht, Benjamín Gutiérrez-Becker, Nassir Navab:
Hands-Free Segmentation of Medical Volumes via Binary Inputs. CoRR abs/1609.06192 (2016) - [i3]Christian Rupprecht, Iro Laina, Maximilian Baust, Federico Tombari, Gregory D. Hager, Nassir Navab:
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. CoRR abs/1612.00197 (2016) - 2015
- [c3]Christian Rupprecht, Loïc Peter, Nassir Navab:
Image segmentation in Twenty Questions. CVPR 2015: 3314-3322 - [c2]Vasileios Belagiannis
, Christian Rupprecht, Gustavo Carneiro
, Nassir Navab:
Robust Optimization for Deep Regression. ICCV 2015: 2830-2838 - [i2]Vasileios Belagiannis, Christian Rupprecht, Gustavo Carneiro, Nassir Navab:
Robust Optimization for Deep Regression. CoRR abs/1505.06606 (2015) - [i1]Kanishka Sharma, Loïc Peter, Christian Rupprecht, Anna Caroli, Lichao Wang, Andrea Remuzzi, Maximilian Baust, Nassir Navab:
Semi-Automatic Segmentation of Autosomal Dominant Polycystic Kidneys using Random Forests. CoRR abs/1510.06915 (2015) - 2013
- [c1]Christian Rupprecht, Olivier Pauly, Christian Theobalt
, Slobodan Ilic
:
3D Semantic Parameterization for Human Shape Modeling: Application to 3D Animation. 3DV 2013: 255-262
Coauthor Index

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last updated on 2023-03-22 23:52 CET by the dblp team
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