Søren Hauberg
Søren Hauberg
Cognitive Systems, DTU Compute, Technical University of Denmark
Verified email at - Homepage
Cited by
Cited by
GNU Octave Manual Version 3: A high-level interactive language for numerical computations
JW Eaton, D Bateman, S Hauberg
Network Theory Limited, ISBN: 0-9546120-6-X, 2008
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
Latent space oddity: on the curvature of deep generative models
G Arvanitidis, LK Hansen, S Hauberg
arXiv preprint arXiv:1710.11379, 2017
Manifold valued statistics, exact principal geodesic analysis and the effect of linear approximations
S Sommer, F Lauze, S Hauberg, M Nielsen
European conference on computer vision, 43-56, 2010
Unscented Kalman filtering on Riemannian manifolds
S Hauberg, F Lauze, KS Pedersen
Journal of mathematical imaging and vision 46 (1), 103-120, 2013
Geodesic Exponential Kernels: When Curvature and Linearity Conflict
A Feragen, F Lauze, S Hauberg
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014
A Geometric take on Metric Learning
S Hauberg, O Freifeld, MJ Black
Advances in Neural Information Processing Systems (NIPS), 2012
Grassmann Averages for Scalable Robust PCA
S Hauberg, A Feragen, MJ Black
IEEE Conference on Computer Vision and Pattern Recognition, 2014
Probabilistic solutions to differential equations and their application to Riemannian statistics
P Hennig, S Hauberg
AISTATS 58 (16), 2013
Metrics for Probabilistic Geometries
A Tosi, S Hauberg, A Vellido, ND Lawrence
30th Conference on Uncertainty in Artificial Intelligence (UAI 2014), 0
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
Principal curves on Riemannian manifolds
S Hauberg
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1915-1921, 2015
Gaussian-like spatial priors for articulated tracking
S Hauberg, S Sommer, KS Pedersen
European Conference on Computer Vision, 425-437, 2010
Means in spaces of tree-like shapes
A Feragen, S Hauberg, M Nielsen, F Lauze
Computer Vision (ICCV), 2011 IEEE International Conference on, 736 - 746, 2011
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
Reliable training and estimation of variance networks
N Skafte, M Jørgensen, S Hauberg
Advances in Neural Information Processing Systems 32, 2019
Probabilistic shortest path tractography in DTI using Gaussian Process ODE solvers
M Schober, N Kasenburg, A Feragen, P Hennig, S Hauberg
International Conference on Medical Image Computing and Computer-Assisted …, 2014
Deep diffeomorphic transformer networks
NS Detlefsen, O Freifeld, S Hauberg
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Explicit disentanglement of appearance and perspective in generative models
N Skafte, S Hauberg
Advances in Neural Information Processing Systems 32, 2019
Variational autoencoders with riemannian brownian motion priors
D Kalatzis, D Eklund, G Arvanitidis, S Hauberg
arXiv preprint arXiv:2002.05227, 2020
The system can't perform the operation now. Try again later.
Articles 1–20