Scholar
Debao Huang
Google Scholar ID: OkHkN_kAAAAJ
PhD student at Ohio State University
Citations & Impact
Citations
118
H-index
5
i10-index
5
Publications
10
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Papers published:
- - New papers on dynamic 3D Gaussian Splatting and uncertainty quantification accepted to ISPRS Geospatial Week 2025.
- - Paper on incorporating motion constraints in Bundle Adjustment of Structure-from-Motion for uncalibrated multi-camera systems published in ISPRS Journal of Photogrammetry and Remote Sensing.
- - Paper proposing a new scheme to scale up NeRF for large-scale aerial images published in The Photogrammetric Record.
- - Preliminary study of uncertainty quantification in MVS accepted to ISPRS Geospatial Week 2023.
- - Paper on baseline constraint in BA for SfM using uncalibrated multi-camera systems accepted to ISPRS Congress 2022.
- - Evaluation of PlanetScope images for 3D reconstruction and change detection published in GIScience & Remote Sensing Journal.
- - 3D change detection of a building deconstruction event using UAV images published in International Journal of Digital Earth.
- Honors:
- - Outstanding reviewer for the 35th British Machine Vision Conference (BMVC 2024).
Research Experience
- Working on multiple projects funded by ONR, IARPA, AFRL, and NSF to solve 3D geometry problems and tasks.
Education
- PhD candidate in the Geospatial Data Analytics Group at The Ohio State University, started in January 2021, supervised by Prof. Rongjun Qin.
Background
- Research interests: 3D reconstruction and uncertainty quantification. Specializes in photogrammetry, computer vision, remote sensing, machine learning, artificial intelligence, structure-from-motion (SfM), 3D Gaussian splatting (3DGS), and uncertainty modeling.
Miscellany
- Contact: Email/Scholar/Github/LinkedIn
