Magnus Oskarsson
- Mathematics (Faculty of Engineering)
- Mathematical Imaging Group
- Computer Science and Engineering (M.Sc.Eng.)
- eSSENCE: The e-Science Collaboration
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- LTH Profile Area: AI and Digitalization
- LU Profile Area: Natural and Artificial Cognition
- Computer Vision and Machine Learning
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- 2025
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Mark
Single-Source Localization as an Eigenvalue Problem
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- Contribution to journal › Article
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Mark
Relative Pose from Cylinder Silhouettes
2025) 17th Asian Conference on Computer Vision, ACCV 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15480 LNCS. p.245-261(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
SONNET : Enhancing Time Delay Estimation by Leveraging Simulated Audio
2025) 27th International Conference on Pattern Recognition, ICPR 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15320 LNCS. p.289-303(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2024
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Mark
Estimates of Temporal Edge Detection Filters in Human Vision
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- Contribution to journal › Article
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Mark
THE LU SYSTEM FOR DCASE 2024 SOUND EVENT LOCALIZATION AND DETECTION CHALLENGE
2024)(
- Book/Report › Report
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Mark
Hierarchical Time-of-Arrival Self-Calibration using Robust Receiver Distance Averaging
2024) 32nd European Signal Processing Conference, EUSIPCO 2024 In European Signal Processing Conference p.982-986(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
wav2pos: Sound Source Localization using Masked Autoencoders
2024) 2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN) In International Conference on Indoor Positioning and Indoor Navigation (IPIN) p.1-8(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Learning Multi-Target TDOA Features for Sound Event Localization and Detection
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Noisy One-Point Homographies are Surprisingly Good
2024) 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024 In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition p.5125-5134(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
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Mark
Efficient Time-of-Arrival Self-Calibration using Source Implicitization
2023) 31st European Signal Processing Conference, EUSIPCO 2023 In European Signal Processing Conference p.1644-1648(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding