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
APoX: Accelerate Graph-Based Deep Point Cloud Analysis via ..:
, In:
2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)
,
Dai, Lei
;
Liang, Shengwen
;
Wang, Ying
.. - p. 231-237 , 2024
Link:
https://doi.org/10.1109/ASP-DAC58780.2024.10473913
RT T1
2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)
: T1
APoX: Accelerate Graph-Based Deep Point Cloud Analysis via Adaptive Graph Construction
UL https://suche.suub.uni-bremen.de/peid=ieee-10473913&Exemplar=1&LAN=DE A1 Dai, Lei A1 Liang, Shengwen A1 Wang, Ying A1 Li, Huawei A1 Li, Xiaowei YR 2024 SN 2153-697X K1 Point cloud compression K1 Deep learning K1 Runtime K1 Design automation K1 Force K1 Asia K1 Optimization methods SP 231 OP 237 LK http://dx.doi.org/https://doi.org/10.1109/ASP-DAC58780.2024.10473913 DO https://doi.org/10.1109/ASP-DAC58780.2024.10473913 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)