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
TPN: Topological Perception Network For 3d Mesh Representat..:
, In:
2020 IEEE International Conference on Image Processing (ICIP)
,
Ma, Bingtao
;
Cong, Yang
;
Liu, Hongsen
. - p. 2711-2715 , 2020
Link:
https://doi.org/10.1109/ICIP40778.2020.9191311
RT T1
2020 IEEE International Conference on Image Processing (ICIP)
: T1
TPN: Topological Perception Network For 3d Mesh Representation
UL https://suche.suub.uni-bremen.de/peid=ieee-9191311&Exemplar=1&LAN=DE A1 Ma, Bingtao A1 Cong, Yang A1 Liu, Hongsen A1 Tang, Xu YR 2020 SN 2381-8549 K1 Shape K1 Three-dimensional displays K1 Complexity theory K1 Task analysis K1 Training K1 Machine learning K1 Transforms K1 3D mesh classification and retrieval K1 Topological attention SP 2711 OP 2715 LK http://dx.doi.org/https://doi.org/10.1109/ICIP40778.2020.9191311 DO https://doi.org/10.1109/ICIP40778.2020.9191311 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)