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Christian Rupprecht
Christian Rupprecht
University of Oxford
Bestätigte E-Mail-Adresse bei robots.ox.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
23522016
Self-labelling via simultaneous clustering and representation learning
YM Asano, C Rupprecht, A Vedaldi
arXiv preprint arXiv:1911.05371, 2019
8872019
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
S Wu, C Rupprecht, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
3582020
RealFusion: 360deg Reconstruction of Any Object From a Single Image
L Melas-Kyriazi, I Laina, C Rupprecht, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2762023
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
2292017
Robust Optimization for Deep Regression
V Belagiannis, C Rupprecht, G Carneiro, N Navab
Proceedings of the IEEE International Conference on Computer Vision, 2015
2222015
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
2002017
Concurrent segmentation and localization for tracking of surgical instruments
I Laina, N Rieke, C Rupprecht, JP Vizcaíno, A Eslami, F Tombari, ...
Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017
1912017
Labelling unlabelled videos from scratch with multi-modal self-supervision
Y Asano, M Patrick, C Rupprecht, A Vedaldi
Advances in Neural Information Processing Systems 33, 2020
1782020
A critical analysis of self-supervision, or what we can learn from a single image
YM Asano, C Rupprecht, A Vedaldi
International Conference on Learning Representations, 2020
1702020
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1612022
Cotracker: It is better to track together
N Karaev, I Rocco, B Graham, N Neverova, A Vedaldi, C Rupprecht
European Conference on Computer Vision, 18-35, 2025
1572025
Towards unsupervised image captioning with shared multimodal embeddings
I Laina, C Rupprecht, N Navab
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1312019
Semantic Image Manipulation Using Scene Graphs
H Dhamo, A Farshad, I Laina, N Navab, GD Hager, F Tombari, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1292020
Explaining the ambiguity of object detection and 6d pose from visual data
F Manhardt, DM Arroyo, C Rupprecht, B Busam, T Birdal, N Navab, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1242019
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
1082016
What does clip know about a red circle? visual prompt engineering for vlms
A Shtedritski, C Rupprecht, A Vedaldi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
1062023
Splatter image: Ultra-fast single-view 3d reconstruction
S Szymanowicz, C Rupprecht, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
1042024
Deep Active Contours
C Rupprecht, E Huaroc, M Baust, N Navab
arXiv preprint arXiv:1607.05074, 2016
902016
Viewset diffusion:(0-) image-conditioned 3d generative models from 2d data
S Szymanowicz, C Rupprecht, A Vedaldi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
742023
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