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Target-referenced Reactive Grasping for Dynamic Objects.

, , , , , , , , и . CVPR, стр. 8824-8833. IEEE, (2023)

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Jianhui Gou

Minghao Qi

Minghao Qin

Zhenkun Gou

Dawei Gou

 

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AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains., , , , , , , , и . IEEE Trans. Robotics, 39 (5): 3929-3945 (октября 2023)RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images., , , , , и . ICRA, стр. 13459-13466. IEEE, (2021)Graspness Discovery in Clutters for Fast and Accurate Grasp Detection., , , , , и . ICCV, стр. 15944-15953. IEEE, (2021)Target-referenced Reactive Grasping for Dynamic Objects., , , , , , , , и . CVPR, стр. 8824-8833. IEEE, (2023)GraspNet: A Large-Scale Clustered and Densely Annotated Dataset for Object Grasping, , , и . (2019)cite arxiv:1912.13470Comment: Report for our recent work.InstaBoost++: Visual Coherence Principles for Unified 2D/3D Instance Level Data Augmentation., , , , , и . Int. J. Comput. Vis., 131 (10): 2665-2681 (октября 2023)Unseen Object 6D Pose Estimation: A Benchmark and Baselines., , , , , и . CoRR, (2022)GraspNet: A Large-Scale Clustered and Densely Annotated Datase for Object Grasping., , , и . CoRR, (2019)A Real World Dataset for Multi-view 3D Reconstruction., , , , и . ECCV (8), том 13668 из Lecture Notes in Computer Science, стр. 56-73. Springer, (2022)AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains., , , , , , , , и . CoRR, (2022)