Magnus Oskarsson

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Kalle ÅströmProfessor, Centre for Mathematical Sciences, Lund University, SwedenVerified email at maths.lth.se
Fredrik KahlProfessor, Chalmers University of TechnologyVerified email at chalmers.se
Viktor LarssonLund UniversityVerified email at math.lth.se
Carl OlssonAssociate Professor of Mathematics, Lund UniversityVerified email at math.lth.se
Anders HeydenProfessor in Mathematics, Lund UniversityVerified email at maths.lth.se
Eric WarrantLund Vision Group, Department of Biology, University of Lund, SwedenVerified email at biol.lu.se
Kenneth BatstoneLund UniversityVerified email at math.lth.se
Olof EnqvistAssistant Professor, Department of Signals and Systems, Chalmers University of Technology, GöteborgVerified email at chalmers.se
Dan NilssonProfessor, Lund UniversityVerified email at biol.lu.se
Martin LarssonPhD student, Centre for Mathematical Sciences, Lund UniversityVerified email at math.lth.se
Fangyuan JiangLund UniversityVerified email at maths.lth.se
Petrik ClarbergIntel CorporationVerified email at intel.com
Anders GarmAssociate Professor, University of CopenhagenVerified email at bio.ku.dk
Fredrik TufvessonProfessor, Lund University, SwedenVerified email at eit.lth.se
Pierre NuguesProfessor of computer science, Lund UniversityVerified email at cs.lth.se
Gabrielle FloodPostdoctoral Researcher, Centre for Mathematical Sciences, Lund UniversityVerified email at math.lth.se
Zuzana KukelovaAssistant Professor, Czech Technical University in PragueVerified email at cmp.felk.cvut.cz
Tomas PajdlaAssociate professor, Czech Technical University in PragueVerified email at cvut.cz
Mark FairchildRochester Institute of TechnologyVerified email at rit.edu
Tomas Akenine-MöllerDistinguished Research Scientist at NVIDIA, Professor in Computer Graphics, Lund UniversityVerified email at cs.lth.se

Magnus Oskarsson

Ass. professor of mathematics, Lund University

Verified email at maths.lth.se

mathematics computer vision image analysis biology


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City-scale localization for cameras with known vertical direction L Svärm, O Enqvist, F Kahl, M Oskarsson IEEE transactions on pattern analysis and machine intelligence 39 (7), 1455-1461, 2016	154	2016
Solutions to minimal generalized relative pose problems MO HenrikStewénius, K Aström, D Nistér Citeseer, 2005	145	2005
Branch-and-bound methods for euclidean registration problems C Olsson, F Kahl, M Oskarsson IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (5), 783-794, 2008	144	2008
Adaptive enhancement and noise reduction in very low light-level video H Malm, M Oskarsson, E Warrant, P Clarberg, J Hasselgren, C Lejdfors 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007	118	2007
Box jellyfish use terrestrial visual cues for navigation A Garm, M Oskarsson, DE Nilsson Current Biology 21 (9), 798-803, 2011	107	2011
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	95	2017
Accurate Localization and Pose Estimation for Large 3D Models L Svärm, O Enqvist, M Oskarsson, F Kahl Conference on Computer Vision and Pattern Recognition (CVPR), 2014	92	2014
Solutions and ambiguities of the structure and motion problem for 1d retinal vision K Åström, M Oskarsson Journal of Mathematical Imaging and Vision 12 (2), 121-135, 2000	56	2000
The registration problem revisited: Optimal solutions from points, lines and planes C Olsson, F Kahl, M Oskarsson 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006	51	2006
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	42	2020
Beyond grobner bases: Basis selection for minimal solvers V Larsson, M Oskarsson, K Astrom, A Wallis, Z Kukelova, T Pajdla Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	42	2018
Optimal estimation of perspective camera pose C Olsson, F Kahl, M Oskarsson 18th International Conference on Pattern Recognition (ICPR'06) 2, 5-8, 2006	36	2006
Massive MIMO-based localization and mapping exploiting phase information of multipath components X Li, E Leitinger, M Oskarsson, K Åström, F Tufvesson IEEE transactions on wireless communications 18 (9), 4254-4267, 2019	33	2019
Polynomial solvers for saturated ideals V Larsson, K Astrom, M Oskarsson Proceedings of the IEEE International Conference on Computer Vision, 2288-2297, 2017	32	2017
Structure and motion from lines under affine projections K Astrom, A Heyden, F Kahl, M Oskarsson Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999	32	1999
A convex approach to low rank matrix approximation with missing data C Olsson, M Oskarsson Scandinavian Conference on Image Analysis, 301-309, 2009	29	2009
Robust time-of-arrival self calibration and indoor localization using Wi-Fi round-trip time measurements K Batstone, M Oskarsson, K Åström 2016 IEEE International Conference on Communications Workshops (ICC), 26-31, 2016	27	2016
The Remarkable Visual Abilities of Nocturnal Insects: Neural Principles and Bioinspired Night-Vision Algorithms E Warrant, M Oskarsson, H Malm Proceedings of the IEEE 102 (10), 1411 - 1426, 2014	27	2014
Minimal projective reconstruction for combinations of points and lines in three views M Oskarsson, A Zisserman, K Åström Image and Vision Computing 22 (10), 777-785, 2004	24	2004
Deep ordinal regression with label diversity A Berg, M Oskarsson, M O'Connor 2020 25th International Conference on Pattern Recognition (ICPR), 2740-2747, 2021	16	2021

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