Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions

Patil, PW; Gupta, Sunil; Rana, Santu; Venkatesh, Svetha

Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions

conference contribution

posted on 2024-05-31, 05:36 authored by PW Patil, Sunil GuptaSunil Gupta, Santu RanaSantu Rana, Svetha VenkateshSvetha Venkatesh

Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions

History

Volume

13688

Pagination

143-160

Location

Tel Aviv, Israel

Start date

2022-10-23

End date

2022-10-27

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783031198144

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000903608700009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

Avidan S, Brostow G, Cisse M, Farinella GM, Hassner T

Title of proceedings

ECCV 2022 : Proceedings of the 17th European Conference on Computer Vision

Event

Computer Vision. European Conference (2022 : 17th : Tel Aviv, Israel)

Publisher

Springer

Place of publication

Berlin, Germany

Series

Lecture Notes in Computer Science

Publication URL

http://dx.doi.org/10.1007/978-3-031-19815-1_9

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Keywords

Computer Science Computer Science, Artificial Intelligence Day and night-time video restoration Imaging Science & Photographic Technology Meta-adaptation RAIN REMOVAL Science & Technology Spatio-temporal feature modulation Technology

Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions

History

Volume

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Location

Start date

End date

ISSN

eISSN

ISBN-13

Language

Author URL

Publication classification

Editor/Contributor(s)

Title of proceedings

Event

Publisher

Place of publication

Series

Publication URL

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Keywords

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