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Towards physics-informed convolutional networks for optical flow estimation in particle image velocimetry using self-attention
Anjaneya Reddy, Yuvarajendra
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.
ORCID iD:
0009-0005-5670-2022
Wahl, Joel
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.
ORCID iD:
0000-0003-1845-6199
Sjödahl, Mikael
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Fluid and Experimental Mechanics.
ORCID iD:
0000-0003-4879-8261
2025 (English)
Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2025.
National Category
Fluid Mechanics
Research subject
Experimental Mechanics
Identifiers
URN:
urn:nbn:se:ltu:diva-115095
OAI: oai:DiVA.org:ltu-115095
DiVA, id:
diva2:2006050
Conference
21th International Symposium on Flow Visualization (ISFV21), Tokyo, Japan, June 21-25, 2025
Available from:
2025-10-13
Created:
2025-10-13
Last updated:
2025-10-21
Bibliographically approved
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Anjaneya Reddy, Yuvarajendra
Wahl, Joel
Sjödahl, Mikael
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Anjaneya Reddy, Yuvarajendra
Wahl, Joel
Sjödahl, Mikael
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Fluid and Experimental Mechanics
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apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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en-GB
en-US
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nn-NB
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