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DeepActsNet: Spatial and Motion features from Face, Hands, and Body Combined with Convolutional and Graph Networks for Improved Action Recognition.

, , , , and . CoRR, (2020)

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Discriminative feature learning for efficient RGB-D object recognition., , and . IROS, page 272-279. IEEE, (2015)Efficient RGB-D object categorization using cascaded ensembles of randomized decision trees., , and . ICRA, page 1295-1302. IEEE, (2015)A Multi-Modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling., , and . IEEE Trans. Pattern Anal. Mach. Intell., 40 (9): 2051-2065 (2018)EnsembleNet: Improving Grasp Detection using an Ensemble of Convolutional Neural Networks., , and . BMVC, page 10. BMVA Press, (2018)Modeling, Simulation and Motion Cues Visualization of a Six-DOF Motion Platform for Micro-Manipulations., and . Int. J. Intell. Mechatronics Robotics, 1 (3): 1-17 (2011)A Robust Low-Cost EEG Motor Imagery-Based Brain-Computer Interface., , , , , and . EMBC, page 5089-5092. IEEE, (2018)DeepActsNet: Spatial and Motion features from Face, Hands, and Body Combined with Convolutional and Graph Networks for Improved Action Recognition., , , , and . CoRR, (2020)RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests., , and . IEEE Trans. Robotics, 33 (3): 547-564 (2017)A model-free approach for the segmentation of unknown objects., , and . IROS, page 4914-4921. IEEE, (2014)GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices., , and . IJCAI, page 4875-4882. ijcai.org, (2018)