Record link: 
http://hdl.handle.net/20.500.12708/203930
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Title: 
Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships
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Citation: 
Koch, S., Vaskevicius, N., Colosi, M., Hermosilla, P., & Ropinski, T. (2024). Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 14183–14193). https://doi.org/10.1109/CVPR52733.2024.01345
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Publisher DOI: 
10.1109/CVPR52733.2024.01345
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Koch, Sebastian 
Vaskevicius, Narunas 
Colosi, Mirco 
Hermosilla, Pedro 
Ropinski, Timo 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
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Published in: 
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 
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ISBN: 
979-8-3503-5300-6
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Date (published): 
2024
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Event name: 
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 
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Event date: 
16-Jun-2024 - 22-Jun-2024
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Event place: 
Seattle, WA, United States of America (the)
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Number of Pages: 
11
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Peer reviewed: 
Yes
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Keywords: 
Scene Graph; Scene Graph Prediction; Point Clouds; Open-set Relationships
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
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Appears in Collections:
Conference Paper

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