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RevealNet: Seeing Behind Objects in RGB-D Scans.

, , и . CVPR, стр. 2095-2104. Computer Vision Foundation / IEEE, (2020)

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Changbao Hou

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Другие публикации лиц с тем же именем

Learning Priors from RGB-D Data for 3D Scene Understanding.. Technical University of Munich, Germany, (2021)Rotation-Invariant Transformer for Point Cloud Matching., , , , , , и . CVPR, стр. 5384-5393. IEEE, (2023)RevealNet: Seeing Behind Objects in RGB-D Scans., , и . CVPR, стр. 2095-2104. Computer Vision Foundation / IEEE, (2020)Pri3D: Can 3D Priors Help 2D Representation Learning?, , , , и . ICCV, стр. 5673-5682. IEEE, (2021)3D-SIC: 3D Semantic Instance Completion for RGB-D Scans., , и . CoRR, (2019)A Product-Focused, Cloud-Based Approach to Door-to-Door Railway Freight Design., , , и . IEEE Access, (2018)RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction., , , и . CoRR, (2020)ControlRoom3D: Room Generation using Semantic Proxy Rooms., , , , , , , , , и 4 other автор(ы). CoRR, (2023)RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration., , , , , , , и . CoRR, (2022)NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection., , , , , , , , , и 1 other автор(ы). ICCV, стр. 23263-23273. IEEE, (2023)