Articoli con mandati relativi all'accesso pubblico - Søren HaubergUlteriori informazioni
Disponibili pubblicamente: 52
Mapillary street-level sequences: A dataset for lifelong place recognition
F Warburg, S Hauberg, M Lopez-Antequera, P Gargallo, Y Kuang, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Mandati: Villum Foundation, European Commission, Government of Spain
Dreaming more data: Class-dependent distributions over diffeomorphisms for learned data augmentation
S Hauberg, O Freifeld, ABL Larsen, J Fisher, L Hansen
Artificial intelligence and statistics, 342-350, 2016
Mandati: Danish Council for Independent Research
Geodesic Exponential Kernels: When Curvature and Linearity Conflict
A Feragen, F Lauze, S Hauberg
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
Mandati: Danish Council for Independent Research
Learning meaningful representations of protein sequences
NS Detlefsen, S Hauberg, W Boomsma
Nature communications 13 (1), 1914, 2022
Mandati: Villum Foundation, European Commission
A Geometric take on Metric Learning
S Hauberg, O Freifeld, MJ Black
Advances in Neural Information Processing Systems (NIPS), 2012
Mandati: US National Institutes of Health
Reliable training and estimation of variance networks
N Skafte, M Jørgensen, S Hauberg
Advances in Neural Information Processing Systems 32, 2019
Mandati: Villum Foundation, European Commission
Hierarchical vaes know what they don’t know
JD Havtorn, J Frellsen, S Hauberg, L Maaløe
International Conference on Machine Learning, 4117-4128, 2021
Mandati: Danish Council for Independent Research, Villum Foundation, European …
Grassmann Averages for Scalable Robust PCA
S Hauberg, A Feragen, MJ Black
IEEE Conference on Computer Vision and Pattern Recognition, 2014
Mandati: Danish Council for Independent Research
Deep diffeomorphic transformer networks
NS Detlefsen, O Freifeld, S Hauberg
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Mandati: European Commission
Principal curves on Riemannian manifolds
S Hauberg
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1915-1921, 2015
Mandati: Danish Council for Independent Research
Explicit disentanglement of appearance and perspective in generative models
N Skafte, S Hauberg
Advances in Neural Information Processing Systems 32, 2019
Mandati: Villum Foundation, European Commission
Transformations based on continuous piecewise-affine velocity fields
O Freifeld, S Hauberg, K Batmanghelich, JW Fisher
IEEE transactions on pattern analysis and machine intelligence 39 (12), 2496 …, 2017
Mandati: US Department of Energy, US Department of Defense, US National Institutes of …
Fast and robust shortest paths on manifolds learned from data
G Arvanitidis, S Hauberg, P Hennig, M Schober
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Mandati: Villum Foundation, European Commission, Federal Ministry of Education and …
Can you trust predictive uncertainty under real dataset shifts in digital pathology?
J Thagaard, S Hauberg, B van der Vegt, T Ebstrup, JD Hansen, AB Dahl
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Mandati: Villum Foundation, European Commission, Innovation Fund Denmark
Scalable robust principal component analysis using Grassmann averages
S Hauberg, A Feragen, R Enficiaud, MJ Black
IEEE transactions on pattern analysis and machine intelligence 38 (11), 2298 …, 2015
Mandati: Danish Council for Independent Research, Villum Foundation
Bayesian triplet loss: Uncertainty quantification in image retrieval
F Warburg, M Jørgensen, J Civera, S Hauberg
Proceedings of the IEEE/CVF International conference on Computer Vision …, 2021
Mandati: Villum Foundation, European Commission, Government of Spain, Carlsberg …
Directional statistics with the spherical normal distribution
S Hauberg
2018 21st International Conference on Information Fusion (FUSION), 704-711, 2018
Mandati: Villum Foundation, European Commission
Only bayes should learn a manifold (on the estimation of differential geometric structure from data)
S Hauberg
arXiv preprint arXiv:1806.04994, 2018
Mandati: Villum Foundation, European Commission
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple
O Freifeld, S Hauberg, K Batmanghelich, JW Fisher III
International Conference on Computer Vision (ICCV), 2015
Mandati: Danish Council for Independent Research
Model Transport: Towards Scalable Transfer Learning on Manifolds
O Freifeld, S Hauberg, MJ Black
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1378-1385, 2014
Mandati: US National Institutes of Health, Danish Council for Independent Research
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