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Can Computer Vision Problems Benefit from Structured Hierarchical Classification?, , , and . CAIP (2), volume 9257 of Lecture Notes in Computer Science, page 403-414. Springer, (2015)General Object Tip Detection and Pose Estimation for Robot Manipulation., , and . ICVS, volume 9163 of Lecture Notes in Computer Science, page 364-374. Springer, (2015)Unsupervised Learning of Visual Feature Hierarchies., and . MLDM, volume 3587 of Lecture Notes in Computer Science, page 243-252. Springer, (2005)Proceedings of the 37th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM/AAPR), 2013, and . CoRR, (2013)Learning Movement Assessment Primitives for Force Interaction Skills., , and . CoRR, (2018)It Gets Worse Before it Gets Better: Timing of Instructions in Close Human-Robot Collaboration., , , , , and . HRI (Companion), page 145-146. ACM, (2017)Can computer vision problems benefit from structured hierarchical classification?, , and . Mach. Vis. Appl., 27 (8): 1299-1312 (2016)Grasp Learning by Sampling from Demonstration., and . CoRR, (2016)Probabilistic Object Models for Pose Estimation in 2D Images., and . DAGM-Symposium, volume 6835 of Lecture Notes in Computer Science, page 336-345. Springer, (2011)Learning Semantics of Gestural Instructions for Human-Robot Collaboration., , and . Frontiers Neurorobotics, (2018)