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ShapeNet: An Information-Rich 3D Model Repository., , , , , , , , , and 3 other author(s). CoRR, (2015)Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching., , , , , , , , , and 11 other author(s). CoRR, (2017)DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions., , , , and . Robotics: Science and Systems, (2019)Tracking Revisited Using RGBD Camera: Unified Benchmark and Baselines., and . ICCV, page 233-240. IEEE Computer Society, (2013)SUN RGB-D: A RGB-D scene understanding benchmark suite., , and . CVPR, page 567-576. IEEE Computer Society, (2015)Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images., and . CVPR, page 808-816. IEEE Computer Society, (2016)3D ShapeNets: A deep representation for volumetric shapes., , , , , , and . CVPR, page 1912-1920. IEEE Computer Society, (2015)Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View., , , , , and . CVPR, page 3847-3856. IEEE Computer Society, (2018)Sliding Shapes for 3D Object Detection in Depth Images., and . ECCV (6), volume 8694 of Lecture Notes in Computer Science, page 634-651. Springer, (2014)Matterport3D: Learning from RGB-D Data in Indoor Environments., , , , , , , , and . 3DV, page 667-676. IEEE Computer Society, (2017)