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
Accurate Monocular 3D Object Detection via Color-Embedded 3..:
, In:
2019 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Ma, Xinzhu
;
Wang, Zhihui
;
Li, Haojie
... - p. 6850-6859 , 2019
Link:
https://doi.org/10.1109/ICCV.2019.00695
RT T1
2019 IEEE/CVF International Conference on Computer Vision (ICCV)
: T1
Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving
UL https://suche.suub.uni-bremen.de/peid=ieee-9009489&Exemplar=1&LAN=DE A1 Ma, Xinzhu A1 Wang, Zhihui A1 Li, Haojie A1 Zhang, Pengbo A1 Ouyang, Wanli A1 Fan, Xin YR 2019 SN 2380-7504 K1 Three-dimensional displays K1 Two dimensional displays K1 Task analysis K1 Laser radar K1 Feature extraction K1 Object detection K1 Transforms SP 6850 OP 6859 LK http://dx.doi.org/https://doi.org/10.1109/ICCV.2019.00695 DO https://doi.org/10.1109/ICCV.2019.00695 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)