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
MONstEr: A Deep Learning-Based System for the Automatic Gen..:
, In:
Lecture Notes in Computer Science; Image Analysis and Processing. ICIAP 2022 Workshops
,
Brocchini, Michele
;
Mameli, Marco
;
Balloni, Emanuele
... - p. 280-290 , 2022
Link:
https://doi.org/10.1007/978-3-031-13321-3_25
RT T1 <cTitle>Lecture Notes in Computer Science; Image Analysis and Processing. ICIAP 2022 Workshops</cTitle>: T1 <Title>MONstEr: A Deep Learning-Based System for the Automatic Generation of Gaming Assets</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_978-3-031-13321-3_25&Exemplar=1&LAN=DE A1 Brocchini, Michele A1 Mameli, Marco A1 Balloni, Emanuele A1 Sciucca, Laura Della A1 Rossi, Luca A1 Paolanti, Marina A1 Frontoni, Emanuele A1 Zingaretti, Primo PB Springer International Publishing YR 2022 SP 280 OP 290 LK http://dx.doi.org/https://doi.org/10.1007/978-3-031-13321-3_25 DO https://doi.org/10.1007/978-3-031-13321-3_25 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
