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We develop a system for modeling hand-object interactions in 3D from RGB images that show a hand which is holding a novel object from a known category.
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2015
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Y. Yang, C. Fermuller, Y. Li, and Y. Aloimonos, “Grasp type revisited: A modern perspective on a classical feature for vision,” in
2015
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A. Saran, D. Teney, and K. M. Kitani, “Hand parsing for fine-grained recognition of human grasps in monocular images,” in
2015
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2015
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2017
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2017
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2017
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2015
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M. Cai, K. M. Kitani, and Y. Sato, “Understanding hand-object manipulation with grasp types and object attributes,” in
2016
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H. Oh Song, Y. Xiang, S. Jegelka, and S. Savarese, “Deep metric learning via lifted structured feature embedding,” in
2016
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2016
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E. Brachmann, F. Michel, A. Krull, M. Ying Yang, S. Gumhold,
2016
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M. Kokic, J. A. Stork, J. A. Haustein, and D. Kragic, “Affordance detection for task-specific grasping using deep learning,” in
2017
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C. Zimmermann and T. Brox, “Learning to estimate 3d hand pose from single rgb images,” in
2017
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J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros, “Unpaired image-to-image translation using cycle-consistent adversarial networks,”
2017
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R. Antonova, M. Kokic, J. Stork, and D. Kragic, “Global search with bernoulli alternation kernel for task-oriented grasping informed by simulation,” in
2018
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D. Damen, H. Doughty, G. Maria Farinella, S. Fidler, A. Furnari, E. Kazakos, D. Moltisanti, J. Munro, T. Perrett, W. Price,
2018
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M. Sundermeyer, Z.-C. Marton, M. Durner, M. Brucker, and R. Triebel, “Implicit 3d orientation learning for 6d object detection from rgb images,” in
2018
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2018
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2018
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2018
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