Published several papers, including 'Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity' (2023 AAAI Conference), 'CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning' (2024 AAAI Conference), and 'MVP-Stereo: A Parallel Multi-View Patchmatch Stereo Method with Dilation Matching for Photogrammetric Application' (2024 Remote Sensing). Two papers, RA-NeRF and Large-3DGS-Recon, were accepted by IROS 2025. MeshSegNet was published in GSIS. XGRIDS launched PortalCam, which can robustly reconstruct large-scale, high-quality 3DGS to meet the needs of a broader audience.
Research Experience
Joined XGRIDS as a 3D Reconstruction Engineer in January 2025.
Education
Obtained Bachelor’s degree in 2016, Master’s degree in 2019, and Ph.D. degree in 2024 from the School of Geodesy and Geomatics at Wuhan University.
Background
Main research interests include panorama vision, 3D reconstruction, multi-view stereo, neural radiance fields, 3D gaussian splatting, and so on.