Xiangyu Xu
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    • LNCS 2025
    • CVPR 2025
    • ICRA 2025
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    • Full-time at OPPO US Research Center.
    • Successfully Defended My Ph.D. Dissertation.
    • ICCV 2021 Oral
    • Intern at Wormpex AI Research LLC..
    • Intern at Amazon Lab126.
    • ICCV 2019 Oral
    • Intern at Amazon Lab126.
    • Start my Ph.D. study
    • Start my Master study
  • Publications
    • ActiveGAMER: Active GAussian Mapping through Efficient Rendering
    • Methods and apparatus for optical flow estimation with contrastive learning
    • Naruto: Neural active reconstruction from uncertain target observations
    • Dynamic voxel grid optimization for high-fidelity rgb-d supervised surface reconstruction
    • PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields
    • CLIP-FLow: Contrastive learning by semi-supervised iterative pseudo labeling for optical flow estimation
    • DDM-NET: End-to-end learning of keypoint feature Detection, Description and Matching for 3D localization
    • Generalized Dynamic 3D Reconstruction
    • GTT-Net: Learned Generalized Trajectory Triangulation
    • Discrete Laplace operator estimation for dynamic 3D reconstruction
  • Projects
    • Neural Active Reconstruction from Uncertain Target Observations
    • Deep learning-based multi-view Dynamic 3D Reconstruction
    • Video-based Dynamic 3D Reconstruction
    • Autonomous Exploration and mapping of Complex 3D Environment
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Successfully Defended My Ph.D. Dissertation.

Jul 15, 2022 · 0 min read
Last updated on Jul 15, 2022
Xiangyu Xu
Authors
Xiangyu Xu
Senior Research Engineer
← Full-time at OPPO US Research Center. Aug 15, 2022
ICCV 2021 Oral Jul 31, 2021 →

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