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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)It Gets Worse Before it Gets Better: Timing of Instructions in Close Human-Robot Collaboration., , , , , and . HRI (Companion), page 145-146. ACM, (2017)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)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)Visual task outcome verification using deep learning., , and . IROS, page 4821-4827. IEEE, (2017)ANN-based Representation Learning in a Lifelong Open-ended Learning Cognitive Architecture., , , and . IJCNN, page 1-8. IEEE, (2022)Integration of Probabilistic Pose Estimates from Multiple Views., , and . ECCV (7), volume 9911 of Lecture Notes in Computer Science, page 154-170. Springer, (2016)Bottom-up learning of object categories, action effects and logical rules: From continuous manipulative exploration to symbolic planning., and . ICRA, page 2627-2633. IEEE, (2015)Feature Learning for Recognition with Bayesian Networks., and . ICPR, page 1017-1020. IEEE Computer Society, (2000)