Scholar
Mulin Yu
Google Scholar ID: w0Od3hQAAAAJ
Shanghai AILab; INRIA
Citations & Impact
Citations
815
H-index
7
i10-index
5
Publications
18
Co-authors
10
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Horizon-GS: Unified 3D Gaussian Splatting for Large-Scale Aerial-to-Ground Scenes, CVPR, 2025
- Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians, arXiv, 2024
- GSDF: 3DGS Meets SDF for Improved Rendering and Reconstruction, Advances in Neural Information Processing Systems 37, 2024
- Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering, CVPR, 2024
- Sharp Feature Consolidation from Raw 3D Point Clouds via Displacement Learning, Computer Aided Geometric Design (CAGD), vol. 103, 2023
- KIBS: 3D detection of planar roof sections from a single satellite image, ISPRS Journal of Photogrammetry and Remote Sensing 220, 2023
- Repairing geometric errors in 3D urban models with kinetic data structures, ISPRS Journal of Photogrammetry and Remote Sensing (JPRS), Volume 192, 2022
- Finding Good Configurations of Planar Primitives in Unorganized Point Clouds, CVPR, 2022
Research Experience
- Current position: Researcher at Shanghai AI Lab; Formerly a Postdoctoral Researcher in the IDC research group at Shanghai AI Lab, working closely with Bo Dai and Dahua Lin.
Education
- PhD from INRIA in 2022, supervised by Prof. Florent Lafarge.
Background
- Research interests: 3D vision, scene reconstruction, surface reconstruction, city modeling, novel view synthesis, spatial point processes. Currently a Researcher at Shanghai AI Lab, exploring cutting-edge techniques in 3D vision and scene reconstruction.
Miscellany
- Super Postdoc of Shanghai; Best Poster Award of MOMI 2022; Reviewer: CVPR, ECCV, TPAMI, CAD, JPRS, Siggraph...
