Søren Hauberg

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Kim Steenstrup PedersenDepartment of computer science, University of CopenhagenVerified email at diku.dk
Aasa FeragenProfessor, DTU ComputeVerified email at dtu.dk
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
Georgios ArvanitidisPostdoctoral ResearcherVerified email at tuebingen.mpg.de
Oren FreifeldBen-Gurion UniversityVerified email at cs.bgu.ac.il
Francois LauzeAssociate Professor of Mathematical Image Analysis, University of CopenhagenVerified email at diku.edu
Michael J. BlackMax Planck Institute for Intelligent Systems and AmazonVerified email at tuebingen.mpg.de
Mads NielsenProfessor of Computer Science, University of CopenhagenVerified email at diku.edu
Philipp HennigUniversity of Tübingen & Max Planck Institute for Intelligent SystemsVerified email at tue.mpg.de
Nicki Skafte DetlefsenPh.d Student in Machine LearningVerified email at dtu.dk
Stefan SommerProfessor at University of CopenhagenVerified email at di.ku.dk
John W. Fisher IIISenior Research Scientist, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Martin JørgensenUniversity of OxfordVerified email at robots.ox.ac.uk
Anders Boesen Lindbo LarsenTechnical University of DenmarkVerified email at dtu.dk
Michael Tiemann (né Schober)Research scientist, Bosch Center for Artificial IntelligenceVerified email at de.bosch.com
Frederik WarburgThe Technical University of DenmarkVerified email at dtu.dk
Kenny ErlebenAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Javier CiveraUniversidad de Zaragoza, SpainVerified email at unizar.es
Kayhan BatmanghelichAssistant Professor, University of PittsburghVerified email at pitt.edu
Niklas KasenburgCARESVerified email at cares.cam.ac.uk

Søren Hauberg

Cognitive Systems, DTU Compute, Technical University of Denmark

Verified email at dtu.dk - Homepage

Machine Learning Computer Vision Geometric Statistics


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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	2116*	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	129	2016
Latent space oddity: on the curvature of deep generative models G Arvanitidis, LK Hansen, S Hauberg arXiv preprint arXiv:1710.11379, 2017	116	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	106	2010
Unscented Kalman filtering on Riemannian manifolds S Hauberg, F Lauze, KS Pedersen Journal of mathematical imaging and vision 46 (1), 103-120, 2013	97	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	79	2014
A Geometric take on Metric Learning S Hauberg, O Freifeld, MJ Black Advances in Neural Information Processing Systems (NIPS), 2012	66	2012
Grassmann Averages for Scalable Robust PCA S Hauberg, A Feragen, MJ Black IEEE Conference on Computer Vision and Pattern Recognition, 2014	59	2014
Probabilistic solutions to differential equations and their application to Riemannian statistics P Hennig, S Hauberg AISTATS 58 (16), 2013	51	2013
Metrics for Probabilistic Geometries A Tosi, S Hauberg, A Vellido, ND Lawrence 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014), 0	44*
Gaussian-like spatial priors for articulated tracking S Hauberg, S Sommer, KS Pedersen European Conference on Computer Vision, 425-437, 2010	37	2010
Principal curves on Riemannian manifolds S Hauberg IEEE transactions on pattern analysis and machine intelligence 38 (9), 1915-1921, 2015	34	2015
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	32	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	31	2015
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	29	2014
Predicting articulated human motion from spatial processes S Hauberg, KS Pedersen International Journal of Computer Vision 94 (3), 317-334, 2011	24	2011
Reliable training and estimation of variance networks N Skafte, M Jørgensen, S Hauberg Advances in Neural Information Processing Systems 32, 6326-6336, 2019	23*	2019
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	23	2014
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	22	2020
Deep diffeomorphic transformer networks NS Detlefsen, O Freifeld, S Hauberg Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	22	2018

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