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Convexity based object partitioning for robot applications., , , , and . ICRA, page 3213-3220. IEEE, (2014)Semantic Segmentation of Radar Detections using Convolutions on Point Clouds., , , , and . CoRR, (2023)A model-based approach to finding substitute tools in 3D vision data., , and . ICRA, page 2471-2478. IEEE, (2016)Automated generation of training sets for object recognition in robotic applications., , , and . RAAD, page 1-7. IEEE, (2014)Constrained planar cuts - Object partitioning for point clouds., , and . CVPR, page 5207-5215. IEEE Computer Society, (2015)Object Partitioning Using Local Convexity., , , and . CVPR, page 304-311. IEEE Computer Society, (2014)Bootstrapping the Semantics of Tools: Affordance Analysis of Real World Objects on a Per-part Basis., and . IEEE Trans. Cognitive and Developmental Systems, 8 (2): 84-98 (2016)Part-driven Visual Perception of 3D Objects., , , , and . VISIGRAPP (5: VISAPP), page 370-377. SciTePress, (2017)Spatially Stratified Correspondence Sampling for Real-Time Point Cloud Tracking., , and . WACV, page 124-131. IEEE Computer Society, (2015)Unsupervised Generation of Context-Relevant Training-Sets for Visual Object Recognition Employing Multilinguality., , , and . WACV, page 805-812. IEEE Computer Society, (2015)