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A Review on Deep Learning Techniques for Video Prediction., , , , , , and . CoRR, (2020)A Visually Plausible Grasping System for Object Manipulation and Interaction in Virtual Reality Environments., , , , , and . CoRR, (2019)Estimating Context Aware Human-Object Interaction Using Deep Learning-Based Object Recognition Architectures., , , , and . SOCO, volume 1401 of Advances in Intelligent Systems and Computing, page 429-438. Springer, (2021)The RobotriX: An Extremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions., , , , , , and . IROS, page 6790-6797. IEEE, (2018)Synthetic contact maps to predict grasp regions on objects., , , , , and . IJCNN, page 1-6. IEEE, (2022)H-GAN: the power of GANs in your Hands., , , , , , , , , and . IJCNN, page 1-8. IEEE, (2021)UnrealROX: an extremely photorealistic virtual reality environment for robotics simulations and synthetic data generation., , , , , and . Virtual Real., 24 (2): 271-288 (2020)UnrealROX+: An Improved Tool for Acquiring Synthetic Data from Virtual 3D Environments., , , , , , and . IJCNN, page 1-8. IEEE, (2021)Graph Convolutional Neural Networks-based 3D Hand Pose Estimation over Point Clouds., , , , , and . IJCNN, page 1-6. IEEE, (2021)Interaction Estimation in Egocentric Videos via Simultaneous Hand-Object Recognition., , , , and . SOCO, volume 1401 of Advances in Intelligent Systems and Computing, page 439-448. Springer, (2021)