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Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions
Version 2 2024-05-31, 05:36Version 2 2024-05-31, 05:36
Version 1 2023-07-18, 05:13Version 1 2023-07-18, 05:13
conference contribution
posted on 2024-05-31, 05:36 authored by PW Patil, Sunil GuptaSunil Gupta, Santu RanaSantu Rana, Svetha VenkateshSvetha VenkateshVideo Restoration Framework and Its Meta-adaptations to Data-Poor Conditions
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Volume
13688Pagination
143-160Location
Tel Aviv, IsraelPublisher DOI
Start date
2022-10-23End date
2022-10-27ISSN
0302-9743eISSN
1611-3349ISBN-13
9783031198144Language
EnglishPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
Avidan S, Brostow G, Cisse M, Farinella GM, Hassner TTitle of proceedings
ECCV 2022 : Proceedings of the 17th European Conference on Computer VisionEvent
Computer Vision. European Conference (2022 : 17th : Tel Aviv, Israel)Publisher
SpringerPlace of publication
Berlin, GermanySeries
Lecture Notes in Computer ScienceUsage metrics
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