I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Manet: Improving Video Denoising with a Multi-Alignment Net..:
, In:
2022 IEEE International Conference on Image Processing (ICIP)
,
Zhao, Yaping
;
Zheng, Haitian
;
Wang, Zhongrui
.. - p. 2036-2040 , 2022
Link:
https://doi.org/10.1109/ICIP46576.2022.9898028
RT T1
2022 IEEE International Conference on Image Processing (ICIP)
: T1
Manet: Improving Video Denoising with a Multi-Alignment Network
UL https://suche.suub.uni-bremen.de/peid=ieee-9898028&Exemplar=1&LAN=DE A1 Zhao, Yaping A1 Zheng, Haitian A1 Wang, Zhongrui A1 Luo, Jiebo A1 Lam, Edmund Y. YR 2022 SN 2381-8549 K1 Codes K1 Image processing K1 Noise reduction K1 Estimation K1 Proposals K1 video denoising K1 image alignment K1 video enhancement K1 attention K1 image synthesis SP 2036 OP 2040 LK http://dx.doi.org/https://doi.org/10.1109/ICIP46576.2022.9898028 DO https://doi.org/10.1109/ICIP46576.2022.9898028 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)