Kim Steenstrup Pedersen

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Medforfattere

Søren HaubergCognitive Systems, DTU Compute, Technical University of DenmarkBekræftet mail på dtu.dk
Mads NielsenProfessor of Computer Science, University of CopenhagenBekræftet mail på diku.edu
Christian IgelDepartment of Computer Science, University of CopenhagenBekræftet mail på diku.dk
Anders Bjorholm DahlProfessor, Image Analysis, Technical University of DenmarkBekræftet mail på dtu.dk
Henrik Aanaes3ShapeBekræftet mail på 3shape.com
Jan KremerHead of Machine Learning at CortiBekræftet mail på corti.ai
Marco LoogDelft University of Technology & University of CopenhagenBekræftet mail på tudelft.nl
Kristoffer Stensbo-SmidtPostdoc, Computational and Biological Learning Lab, University of CambridgeBekræftet mail på cam.ac.uk
Francois LauzeAssociate Professor of Mathematical Image Analysis, University of CopenhagenBekræftet mail på diku.edu
Fabian GiesekeProfessor at Department of Information Systems, University of MünsterBekræftet mail på uni-muenster.de
Søren I. OlsenUniversity of CopenhagenBekræftet mail på diku.dk
Bo MarkussenAssociate Professor of Statistics, University of CopenhagenBekræftet mail på math.ku.dk
Stefan SommerProfessor at University of CopenhagenBekræftet mail på di.ku.dk
Anders Boesen Lindbo LarsenTechnical University of DenmarkBekræftet mail på dtu.dk
Kenny ErlebenAssociate Professor, Department of Computer Science, University of CopenhagenBekræftet mail på di.ku.dk
Morten Pol Engell-NørregårdDept. of Computer Science, University of CopenhagenBekræftet mail på diku.dk
Martin LillholmAssociate Prof. Univiersity of Copenhagen, Senior Researcher, BiomediqBekræftet mail på biomediq.com
Sune DarknerAssociate Professor, datalogi Københavns UniversitetBekræftet mail på diku.dk
Remco DuitsAssociate Professor, Eindhoven University of Technology (TU/e)Bekræftet mail på tue.nl
Marleen de BruijneProfessor of AI in Medical Image Analysis; Erasmus MC Rotterdam and University of CopenhagenBekræftet mail på diku.dk

Kim Steenstrup Pedersen

Department of computer science, University of Copenhagen

Bekræftet mail på diku.dk - Startside

Computer vision image analysis machine learning pattern recognition Human motion analysis and modelling


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	315	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	197	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	197*	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	95	2014
Unscented Kalman filtering on Riemannian manifolds S Hauberg, F Lauze, KS Pedersen Journal of mathematical imaging and vision 46 (1), 103-120, 2013	90	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	52	2017
Finding the best feature detector-descriptor combination AL Dahl, H Aanæs, KS Pedersen 2011 international conference on 3d imaging, modeling, processing …, 2011	51	2011
Gaussian-like spatial priors for articulated tracking S Hauberg, S Sommer, KS Pedersen European Conference on Computer Vision, 425-437, 2010	38	2010
Toward a full probability model of edges in natural images KS Pedersen, AB Lee European Conference on Computer Vision, 328-342, 2002	28	2002
Predicting articulated human motion from spatial processes S Hauberg, KS Pedersen International Journal of Computer Vision 94 (3), 317-334, 2011	26	2011
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	25	2001
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	21	2012
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
Properties of brownian image models in scale-space KS Pedersen International Conference on Scale-Space Theories in Computer Vision, 281-296, 2003	17	2003
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	16	2019
Jet-based local image descriptors ABL Larsen, S Darkner, AL Dahl, KS Pedersen European Conference on Computer Vision, 638-650, 2012	16	2012
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
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	15	2015
Unscented kalman filtering for articulated human tracking ABL Larsen, S Hauberg, KS Pedersen Scandinavian conference on Image analysis, 228-237, 2011	15	2011

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