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Learning 6-DOF Grasping Interaction with Deep Geometry-aware 3D Representations

, , , , , , , and . (2017)cite arxiv:1708.07303Comment: Deep Geometry-aware Grasping.

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GeoSim: Photorealistic Image Simulation with Geometry-Aware Composition., , , , , , , , and . CoRR, (2021)MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics., , , , , , , and . ECCV (5), volume 11209 of Lecture Notes in Computer Science, page 276-293. Springer, (2018)SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing., , , , , and . CoRR, (2019)Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks., , , , , , and . CoRR, (2019)Learning Deep Controllable and Structured Representations for Image Synthesis, Structure Prediction and Beyond.. University of Michigan, USA, (2019)Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving., , , , , , , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 1013-1024. PMLR, (2021)Learning 6-DOF Grasping Interaction with Deep Geometry-aware 3D Representations, , , , , , , and . (2017)cite arxiv:1708.07303Comment: Deep Geometry-aware Grasping.Learning Structured Output Representation using Deep Conditional Generative Models., , and . NIPS, page 3483-3491. (2015)Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting., , , , , , and . CoRR, (2021)Safety-Oriented Pedestrian Occupancy Forecasting., , , , , , and . IROS, page 1015-1022. IEEE, (2021)