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
3D CNNs on Distance Matrices for Human Action Recognition:
, In:
Proceedings of the 25th ACM international conference on Multimedia
,
Hernandez Ruiz, Alejandro
;
Porzi, Lorenzo
;
Rota Bulò, Samuel
. - p. 1087-1095 , 2017
Link:
https://dl.acm.org/doi/10.1145/3123266.3123299
RT T1
Proceedings of the 25th ACM international conference on Multimedia
: T1
3D CNNs on Distance Matrices for Human Action Recognition
UL https://suche.suub.uni-bremen.de/peid=acm-3123299&Exemplar=1&LAN=DE A1 Hernandez Ruiz, Alejandro A1 Porzi, Lorenzo A1 Rota Bulò, Samuel A1 Moreno-Noguer, Francesc PB ACM YR 2017 K1 3d convolutional neural networks K1 activity recognition K1 deep learning K1 human action recognition K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Activity recognition and understanding SP 1087 OP 1095 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3123266.3123299 DO https://dl.acm.org/doi/10.1145/3123266.3123299 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)