Folgen
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
20412016
Self-labelling via simultaneous clustering and representation learning
YM Asano, C Rupprecht, A Vedaldi
arXiv preprint arXiv:1911.05371, 2019
6462019
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
2812020
Robust Optimization for Deep Regression
V Belagiannis, C Rupprecht, G Carneiro, N Navab
Proceedings of the IEEE International Conference on Computer Vision, 2015
2092015
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
1852017
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
1732017
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
1732017
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
1432020
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
1302020
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
1072020
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
1042019
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
972016
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
952019
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
902022
Deep Active Contours
C Rupprecht, E Huaroc, M Baust, N Navab
arXiv preprint arXiv:1607.05074, 2016
812016
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
662023
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
L Karazija, I Laina, C Rupprecht
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
492021
Classification of polar maps from cardiac perfusion imaging with graph-convolutional neural networks
N Spier, S Nekolla, C Rupprecht, M Mustafa, N Navab, M Baust
Scientific reports 9 (1), 7569, 2019
462019
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models
L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi
arXiv preprint arXiv:2105.08127, 2021
432021
Unsupervised part discovery from contrastive reconstruction
S Choudhury, I Laina, C Rupprecht, A Vedaldi
Advances in Neural Information Processing Systems 34, 28104-28118, 2021
422021
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20