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  Weakly Supervised Learning of Multi-Object 3D Scene Decompositions Using Deep Shape Priors

Elich, C., Oswald, M. R., Pollefeys, M., & Stückler, J. (2022). Weakly Supervised Learning of Multi-Object 3D Scene Decompositions Using Deep Shape Priors. Computer Vision and Image Understanding, 220: 103440. doi:10.1016/j.cviu.2022.103440.

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https://doi.org/10.1016/j.cviu.2022.103440 (Publisher version)
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Hybrid
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OA-Status:
Green

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 Creators:
Elich, Cathrin1, 2, Author           
Oswald, Martin R2, Author
Pollefeys, Marc2, Author
Stückler, Jörg1, Author           
Affiliations:
1Max Planck Research Group Embodied Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_3026605              
2External Organizations, ou_persistent22              

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Free keywords: Forschungsgruppe Stückler
 Abstract: -

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Language(s): eng - English
 Dates: 2022-04-262022-07
 Publication Status: Issued
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.cviu.2022.103440
arXiv: 2010.04030
BibTex Citekey: elich2020_semsup3dobjs
 Degree: -

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Title: Computer Vision and Image Understanding
Source Genre: Journal
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Publ. Info: Elsevier
Pages: - Volume / Issue: 220 Sequence Number: 103440 Start / End Page: - Identifier: ISSN: 1077-3142
CoNE: https://pure.mpg.de/cone/journals/resource/1077-3142