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

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Liao, Yiyi
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Donne, Simon
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Geiger, Andreas
Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society;

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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.

Cite as: https://hdl.handle.net/21.11116/0000-0006-F462-8

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