Kalle Åström

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Anders HeydenProfessor in Mathematics, Lund UniversityVerified email at maths.lth.se
Magnus OskarssonAssociate professor of mathematics, Lund UniversityVerified email at math.lth.se
Fredrik KahlProfessor, Chalmers University of TechnologyVerified email at chalmers.se
Martin ByrödLunds universitetVerified email at maths.lth.se
Hakan ArdoLund UniversityVerified email at maths.lth.se
Niels Chr OvergaardLunds UniversitetVerified email at math.lth.se
Ida ArvidssonPostdoctoral Researcher, Centre for Mathematical Sciences, Lund UniversityVerified email at math.lth.se
Viktor LarssonAssistant Professor at Lund UniversityVerified email at math.lth.se
Mikael NilssonLund UniversityVerified email at math.lth.se
Olof EnqvistAssistant Professor, Department of Signals and Systems, Chalmers University of Technology, GöteborgVerified email at chalmers.se
Anders EricssonVerified email at acreo.se
Fredrik TufvessonProfessor, Lund University, SwedenVerified email at eit.lth.se
Oleksiy GuzhvaDepartment of Biosystems and Technology, Swedish University of Agricultural SciencesVerified email at slu.se
Gabrielle FloodPostdoctoral Researcher, Centre for Mathematical Sciences, Lund UniversityVerified email at math.lth.se
Anders BjartellProfessor i UrologiVerified email at med.lu.se
Zhayida SimayijiangLund universityVerified email at maths.lth.se
Martin LarssonPhD, Centre for Mathematical Sciences, Lund UniversityVerified email at math.lth.se
Kenneth BatstoneLund UniversityVerified email at math.lth.se
Tomas PajdlaAssociate professor, Czech Technical University in PragueVerified email at cvut.cz
Fangyuan JiangLund UniversityVerified email at maths.lth.se

Kalle Åström

Professor, Centre for Mathematical Sciences, Lund University, Sweden

Verified email at maths.lth.se - Homepage

computer vision machine learning structure from sound


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Revisiting the pnp problem: A fast, general and optimal solution Y Zheng, Y Kuang, S Sugimoto, K Astrom, M Okutomi Proceedings of the IEEE International Conference on Computer Vision, 2344-2351, 2013	444	2013
Euclidean reconstruction from image sequences with varying and unknown focal length and principal point A Heyden, K Astrom Proceedings of IEEE Computer Society Conference on Computer Vision and …, 1997	354	1997
Euclidean reconstruction from constant intrinsic parameters K Åström, A Heyden Int. Conf. Pattern Recognition 1, 339-343, 1996	295*	1996
Distinctive roles of age, sex, and genetics in shaping transcriptional variation of human immune responses to microbial challenges B Piasecka, D Duffy, A Urrutia, H Quach, E Patin, C Posseme, J Bergstedt, ... Proceedings of the National Academy of Sciences 115 (3), E488-E497, 2018	224	2018
FLIP: A Difference Evaluator for Alternating Images. P Andersson, J Nilsson, T Akenine-Möller, M Oskarsson, K Åström, ... Proc. ACM Comput. Graph. Interact. Tech. 3 (2), 15:1-15:23, 2020	210	2020
Solutions to minimal generalized relative pose problems MO HenrikStewénius, K Aström, D Nistér Citeseer, 2005	177	2005
Efficient solvers for minimal problems by syzygy-based reduction V Larsson, K Astrom, M Oskarsson Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	153	2017
Robust factorization H Aanæs, R Fisker, K Astrom, JM Carstensen IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (9), 1215-1225, 2002	153	2002
Motion from the frontier of curved surfaces R Cipolla, KE Astrom, PJ Giblin Proceedings of IEEE International Conference on Computer Vision, 269-275, 1995	129	1995
Conjugate gradient bundle adjustment M Byröd, K Åström Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010	127	2010
Critical motions for auto-calibration when some intrinsic parameters can vary F Kahl, B Triggs, K Åström Journal of Mathematical Imaging and Vision 13, 131-146, 2000	109	2000
Fast and stable polynomial equation solving and its application to computer vision M Byröd, K Josephson, K Åström International Journal of Computer Vision 84, 237-256, 2009	101	2009
Minimal conditions on intrinsic parameters for euclidean reconstruction A Heyden, K Åström Computer Vision—ACCV'98, 169-176, 1997	101	1997
Generalised epipolar constraints K Åström, R Cipolla, PJ Giblin Computer Vision—ECCV'96: 4th European Conference on Computer Vision …, 1996	92	1996
Towards grading gleason score using generically trained deep convolutional neural networks H Källén, J Molin, A Heyden, C Lundström, K Åström 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1163-1167, 2016	90	2016
Flexible calibration: Minimal cases for auto-calibration A Heyden, K Astrom Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999	90	1999
A complete characterization and solution to the microphone position self-calibration problem Y Kuang, S Burgess, A Torstensson, K Åström 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	89	2013
Algebraic properties of multilinear constraints A Heyden, K Åström Mathematical Methods in the Applied Sciences 20 (13), 1135-1162, 1997	89	1997
Development of automatic surveillance of animal behaviour and welfare using image analysis and machine learned segmentation technique M Nilsson, AH Herlin, H Ardö, O Guzhva, K Åström, C Bergsten Animal 9 (11), 1859-1865, 2015	81	2015
Fast optimal three view triangulation M Byröd, K Josephson, K Åström Computer Vision–ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo …, 2007	79	2007

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