Connecting the Dots: Learning Representations for Active Monocular Depth 
Estimation

Riegler, Gernot; Liao, Yiyi; Donne, Simon; Koltun, Vladlen; Geiger, Andreas

doi:10.1109/CVPR.2019.00781

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Connecting the Dots: Learning Representations for Active Monocular Depth Estimation

Riegler, G., Liao, Y., Donne, S., Koltun, V., & Geiger, A. (2019). Connecting the Dots: Learning Representations for Active Monocular Depth Estimation. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019) (pp. 7616-7625). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2019.00781.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-F462-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-F463-7

Genre: Conference Paper

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Creators:
Riegler, Gernot¹, Author
Liao, Yiyi², Author
Donne, Simon², Author
Koltun, Vladlen¹, Author
Geiger, Andreas², Author

Affiliations:
1External Organizations, ou_persistent22
2Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344692

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Free keywords: Forschungsgruppe Geiger

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Language(s): eng - English

Dates: Published Online: 2020-01-09Date issued: 2019

Publication Status: Issued

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Identifiers: BibTex Citekey: Riegler2019CVPR
DOI: 10.1109/CVPR.2019.00781

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Place of Event: Long Beach, CA

Start-/End Date: 2019-06-15 - 2019-06-20

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Title: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Other : 2019 IEEE/CVP Conference on Computer Vision and Pattern Recognition (CVPR 2019)

Source Genre: Proceedings

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Affiliations:

Publ. Info: Piscataway, NJ : IEEE

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 7616 - 7625 Identifier: ISBN: 978-1-7281-3293-8
ISBN: 978-1-7281-3294-5
ISSN: 2575-7075
ISSN: 1063-6919
DOI: 10.1109/CVPR41558.2019