Record link: 
http://hdl.handle.net/20.500.12708/230589
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Title: 
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
en
Citation: 
Sick, L., Engel, D., Hartwig, S., Hermosilla, P., & Ropinski, T. (2025). CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation. In 2025 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 21265–21275). IEEE. https://doi.org/10.1109/ICCV51701.2025.01975
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Publisher DOI: 
10.1109/ICCV51701.2025.01975
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Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
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Authors: 
Sick, Leon 
Engel, Dominik 
Hartwig, Sebastian 
Hermosilla, Pedro 
Ropinski, Timo 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
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Published in: 
2025 IEEE/CVF International Conference on Computer Vision (ICCV) 
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DOI of the book: 
10.1109/ICCV51701.2025
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Date (published): 
2025
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Event name: 
IEEE/CVF International Conference on Computer Vision (ICCV) 
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Event date: 
19-Oct-2025 - 23-Oct-2025
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Event place: 
Honolulu, United States of America (the)
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Number of Pages: 
11
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Publisher: 
IEEE
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Peer reviewed: 
Yes
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Keywords: 
3D-Aware 2D Segmentation; Unsupervised Instance Segmentation; Pseudo-Mask Generation; Monocular Depth Estimation; Self-Supervised Learning
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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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