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University of Bonn, Bonn, Germany
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Real-world datasets reveal that tracking tomato ripeness can significantly enhance agricultural automation and phenotyping techniques.
Uncertainty can be harnessed to enhance the reliability of depth-only 3D semantic segmentation without compromising privacy.
3D diffusion models can be harnessed to generate object priors for one-shot view planning, enabling robots to efficiently reconstruct objects by focusing on complex regions.
