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Learning 6-DOF Grasping Interaction with Deep Geometry-aware 3D Representations, , , , , , , и . (2017)cite arxiv:1708.07303Comment: Deep Geometry-aware Grasping.GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition., , , , , , , , и . CoRR, (2021)Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks., , , , , , и . CoRR, (2019)MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics., , , , , , , и . ECCV (5), том 11209 из Lecture Notes in Computer Science, стр. 276-293. Springer, (2018)SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing., , , , , и . CoRR, (2019)Learning Deep Controllable and Structured Representations for Image Synthesis, Structure Prediction and Beyond.. University of Michigan, USA, (2019)Learning Structured Output Representation using Deep Conditional Generative Models., , и . NIPS, стр. 3483-3491. (2015)Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving., , , , , , , , и . CoRL, том 164 из Proceedings of Machine Learning Research, стр. 1013-1024. PMLR, (2021)Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting., , , , , , и . CoRR, (2021)Learning Hierarchical Semantic Image Manipulation through Structured Representations., , , и . NeurIPS, стр. 2713-2723. (2018)