Kim Steenstrup Pedersen

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Søren HaubergCognitive Systems, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
Christian IgelDepartment of Computer Science, University of CopenhagenVerified email at diku.dk
Mads NielsenProfessor of Computer Science, University of CopenhagenVerified email at diku.edu
Anders Bjorholm DahlProfessor, Image Analysis, Technical University of DenmarkVerified email at dtu.dk
Henrik Aanaes3ShapeVerified email at 3shape.com
Francois LauzeAssociate Professor of Mathematical Image Analysis, University of CopenhagenVerified email at diku.edu
Jan KremerHead of Machine Learning at CortiVerified email at corti.ai
Kristoffer Stensbo-SmidtPostdoc, Department of Applied Mathematics and Computer Science, Technical University of DenmarkVerified email at dtu.dk
Marco LoogDelft University of Technology & University of CopenhagenVerified email at tudelft.nl
Fabian GiesekeProfessor at Department of Information Systems, University of MünsterVerified email at uni-muenster.de
Søren I. OlsenUniversity of CopenhagenVerified email at diku.dk
Stefan SommerProfessor at University of CopenhagenVerified email at di.ku.dk
Bo MarkussenAssociate Professor of Statistics, University of CopenhagenVerified email at math.ku.dk
Anders Boesen Lindbo LarsenTechnical University of DenmarkVerified email at dtu.dk
Kenny ErlebenAssociate Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
Martin LillholmAssociate Prof. Univiersity of Copenhagen, Senior Researcher, BiomediqVerified email at biomediq.com
Morten Pol Engell-NørregårdDept. of Computer Science, University of CopenhagenVerified email at diku.dk
Sune DarknerAssociate Professor, datalogi Københavns UniversitetVerified email at di.ku.dk
Rasmus R. PaulsenAssociate Professor in Medical Image Analysis, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
Marleen de BruijneProfessor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of CopenhagenVerified email at diku.dk

Kim Steenstrup Pedersen

Department of computer science, University of Copenhagen

Verified email at diku.dk - Homepage

Computer vision computer vision for natural history and cultural heritage image analysis machine learning pattern recognitio


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The nonlinear statistics of high-contrast patches in natural images AB Lee, KS Pedersen, D Mumford International Journal of Computer Vision 54 (1), 83-103, 2003	329	2003
Interesting interest points–a survey of interest point performance on a unique data set H Aanæs, AL Dahl, KS Pedersen International Journal of Computer Vision 97 (1), 18--35, 2012	219	2012
Interesting interest points: A comparative study of interest point performance on a unique data set H Aans, AL Dahl, KS Pedersen International Journal of Computer Vision 97 (1), 18--35, 2011	219*	2011
Active learning with support vector machines J Kremer, K Steenstrup Pedersen, C Igel Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 4 (4 …, 2014	116	2014
Unscented Kalman filtering on Riemannian manifolds S Hauberg, F Lauze, KS Pedersen Journal of mathematical imaging and vision 46 (1), 103-120, 2013	107	2013
Big universe, big data: machine learning and image analysis for astronomy J Kremer, K Stensbo-Smidt, F Gieseke, KS Pedersen, C Igel IEEE Intelligent Systems 32 (2), 16-22, 2017	86	2017
Finding the best feature detector-descriptor combination AL Dahl, H Aanæs, KS Pedersen 2011 international conference on 3d imaging, modeling, processing …, 2011	56	2011
Gaussian-like spatial priors for articulated tracking S Hauberg, S Sommer, KS Pedersen European Conference on Computer Vision, 425-437, 2010	38	2010
Pre-harvest weed mapping of Cirsium arvense in wheat and barley with off-the-shelf UAVs J Rasmussen, J Nielsen, JC Streibig, JE Jensen, KS Pedersen, SI Olsen Precision Agriculture 20 (5), 983-999, 2019	32	2019
Toward a full probability model of edges in natural images KS Pedersen, AB Lee European Conference on Computer Vision, 328-342, 2002	28	2002
The complex statistics of high-contrast patches in natural images AB Lee, KS Pedersen, D Mumford WWW Proceedings of Second International IEEE Workshop on Statistical and …, 2001	27	2001
Predicting articulated human motion from spatial processes S Hauberg, KS Pedersen International Journal of Computer Vision 94 (3), 317-334, 2011	25	2011
Jet-based local image descriptors ABL Larsen, S Darkner, AL Dahl, KS Pedersen European Conference on Computer Vision, 638-650, 2012	24	2012
Natural metrics and least-committed priors for articulated tracking S Hauberg, S Sommer, KS Pedersen Image and Vision Computing 30 (6-7), 453-461, 2012	22	2012
Nearest neighbor density ratio estimation for large-scale applications in astronomy J Kremer, F Gieseke, KS Pedersen, C Igel Astronomy and Computing 12, 67-72, 2015	19	2015
The hausdorff dimension and scale-space normalization of natural images KS Pedersen, M Nielsen Journal of Visual communication and image representation 11 (2), 266-277, 2000	18	2000
Unscented kalman filtering for articulated human tracking ABL Larsen, S Hauberg, KS Pedersen Scandinavian conference on Image analysis, 228-237, 2011	17	2011
Properties of brownian image models in scale-space KS Pedersen International Conference on Scale-Space Theories in Computer Vision, 281-296, 2003	17	2003
Computing Optic Flow by Scale-Space Integration of Normal Flow KS Pedersen, M Nielsen Springer, 2001	16	2001
Computing optic flow by scale-space integration of normal flow K Pedersen, M Nielsen Scale-Space and Morphology in Computer Vision, 14-25, 2001	16	2001

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