Søren Hauberg - Google Scholar Citations

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Citations	2671	1585
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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
Oren FreifeldBen-Gurion UniversityVerified email at cs.bgu.ac.il
Francois LauzeAssociate Professor of Mathematical Image Analysis, University of CopenhagenVerified email at diku.edu
Lars Kai HansenProfessor, Cognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
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
Georgios ArvanitidisPostdoctoral ResearcherVerified email at tuebingen.mpg.de
Stefan SommerUniversity of CopenhagenVerified email at di.ku.dk
John W. Fisher IIISenior Research Scientist, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Anders Boesen Lindbo LarsenTechnical University of DenmarkVerified email at dtu.dk
Nicki Skafte DetlefsenPh.d Student in Machine LearningVerified email at dtu.dk
Kenny ErlebenAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Michael SchoberResearch scientist, Bosch Center for Artificial IntelligenceVerified email at de.bosch.com
Morten Pol Engell-NørregårdDept. of Computer Science, University of CopenhagenVerified email at diku.dk
Niklas KasenburgMachine Learning Specialist, Alexandra Institute, CopenhagenVerified email at alexandra.dk
Benny LautrupProfessor, The Niels Bohr InstituteVerified email at nbi.dk
Andrew D. JacksonProfessor of Physics, Niels Bohr InstituteVerified email at nbi.dk
Peter JohansenProfessor emeritus, Copenhagen universityVerified email at di.ku.dk

Søren Hauberg

Cognitive Systems, DTU Compute, Technical University of Denmark

Verified email at dtu.dk - Homepage

Machine Learning Computer Vision Geometric Statistics Metrics Modelling


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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	1769*	2008
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	91	2010
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	89	2016
Unscented Kalman filtering on Riemannian manifolds S Hauberg, F Lauze, KS Pedersen Journal of mathematical imaging and vision 46 (1), 103-120, 2013	77	2013
A Geometric take on Metric Learning S Hauberg, O Freifeld, MJ Black Advances in Neural Information Processing Systems (NIPS), 2012	52	2012
Geodesic Exponential Kernels: When Curvature and Linearity Conflict A Feragen, F Lauze, S Hauberg IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014	50	2014
Latent space oddity: on the curvature of deep generative models G Arvanitidis, LK Hansen, S Hauberg arXiv preprint arXiv:1710.11379, 2017	45	2017
Grassmann Averages for Scalable Robust PCA S Hauberg, A Feragen, MJ Black IEEE Conference on Computer Vision and Pattern Recognition, 2014	45	2014
Probabilistic solutions to differential equations and their application to Riemannian statistics P Hennig, S Hauberg AISTATS 58 (16), 2013	38	2013
Gaussian-like spatial priors for articulated tracking S Hauberg, S Sommer, KS Pedersen European Conference on Computer Vision, 425-437, 2010	37	2010
Metrics for Probabilistic Geometries A Tosi, S Hauberg, A Vellido, ND Lawrence 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014), 0	29*
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	26	2011
Predicting articulated human motion from spatial processes S Hauberg, KS Pedersen International Journal of Computer Vision 94 (3), 317-334, 2011	24	2011
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
Principal curves on Riemannian manifolds S Hauberg IEEE transactions on pattern analysis and machine intelligence 38 (9), 1915-1921, 2015	21	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	21	2014
Natural metrics and least-committed priors for articulated tracking S Hauberg, S Sommer, KS Pedersen Image and Vision Computing 30 (6-7), 453 - 461, 2011	20	2011
Brownian warps for non-rigid registration M Nielsen, P Johansen, AD Jackson, B Lautrup, S Hauberg Journal of Mathematical Imaging and Vision 31 (2-3), 221, 2008	19*	2008
Data-driven forward model inference for EEG brain imaging ST Hansen, S Hauberg, LK Hansen NeuroImage 139, 249-258, 2016	18	2016
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	17	2015

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