Record link: 
http://hdl.handle.net/20.500.12708/186978
-
Title: 
COPE: End-to-end trainable Constant Runtime Object Pose Estimation
en
Citation: 
Thalhammer, S., Patten, T., & Vincze, M. (2023). COPE: End-to-end trainable Constant Runtime Object Pose Estimation. In Proceedings 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)  (pp. 2859–2869). https://doi.org/10.1109/WACV56688.2023.00288
-
Publisher DOI: 
10.1109/WACV56688.2023.00288
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Thalhammer, Stefan 
Patten, Timothy 
Vincze, Markus 
-
Organisational Unit: 
E376-02 - Forschungsbereich Komplexe Dynamische Systeme 
-
Published in: 
Proceedings 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)  
-
Date (published): 
6-Jan-2023
-
Event name: 
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 
en
Event date: 
2-Jan-2023 - 7-Jan-2023
-
Event place: 
Waikoloa, HI, United States of America (the)
-
Number of Pages: 
11
-
Peer reviewed: 
Yes
-
Keywords: 
Object Pose Estimation; Object Detection
en
Project (external): 
Fonds zur Förderung der wissenschaftlichen Forschung
Österreichische Forschungsförderungs GmbH
European Comission
-
Project ID: 
3969-N30
879878
101017089
-
Link (external): 
https://openaccess.thecvf.com/WACV2023
https://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=COPE:%20End-to-end%20trainable
https://ieeexplore.ieee.org/xpl/conhome/10030081/proceeding
https://openaccess.thecvf.com/content/WACV2023/papers/Thalhammer_COPE_End-to-End_Trainable_Constant_Runtime_Object_Pose_Estimation_WACV_2023_paper.pdf
-
Research Areas: 
Visual Computing and Human-Centered Technology: 50%
Automation and Robotics: 50%
-
Science Branch: 
2020 - Elektrotechnik, Elektronik, Informationstechnik: 100%
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

84
checked on Dec 1, 2023

Download(s)

3
checked on Dec 1, 2023

Google ScholarTM

Check