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INVIGORATE: Interactive Visual Grounding and Grasping in Clutter.

, , , , , and . Robotics: Science and Systems, (2021)

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Leveraging Spatio-Temporal Evidence and Independent Vision Channel to Improve Multi-Sensor Fusion for Vehicle Environmental Perception., , , , , , and . Intelligent Vehicles Symposium, page 591-596. IEEE, (2018)Disocclusion using depth reliability map for view synthesis., , , and . ICASSP, page 1449-1452. IEEE, (2012)RoI-based Robotic Grasp Detection in Object Overlapping Scenes Using Convolutional Neural Network., , , and . CoRR, (2018)A Real-time Robotic Grasp Approach with Oriented Anchor Box., , , , , and . CoRR, (2018)An efficient depth image-based rendering with depth reliability maps for view synthesis., , , and . J. Vis. Commun. Image Represent., (2016)REGNet: REgion-based Grasp Network for Single-shot Grasp Detection in Point Clouds., , , , , and . CoRR, (2020)Local patch based regularized least squares model for compression artifacts removal., , , and . IEEE Trans. Consumer Electronics, 55 (4): 2057-2065 (2009)Probabilistic Human Motion Prediction via A Bayesian Neural Network., , , and . ICRA, page 3190-3196. IEEE, (2021)Visual Manipulation Relationship Network for Autonomous Robotics., , , , , and . Humanoids, page 118-125. IEEE, (2018)Multi-level Spatio-temporal Matching Network for Multi-turn Response Selection in Retrieval-based Dialogue Systems., , , and . ICBK, page 298-306. IEEE, (2021)