Ningli Xu
I'm a 4th year Ph.D. student at The Ohio State University working with Rongjun Qin in Columbus, Ohio.
During my Ph.D. period, I worked on 3D reconstruction of multi-source data including satellite, aerial, UAV, ground-view images, 3D registration of cross-view/cross-source data, air-to-ground view sytnthesis .
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Publications
Most my works are related to: Computer vision, Machine learning, Generative AI, NeRF, Diffusion . Some works are highlighted.
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Geospecific View Generation -- Geometry-Context Aware High-resolution Ground View Inference from Satellite Views
Ningli Xu , Rongjun Qin
ECCV 2024 (Oral Presentation, 200/8585, top 2.3%)
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A diffusion-based method to perform ground-view synthesis conditioning on the weak building facades information from satellite images.
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Large-scale DSM registration via motion averaging
Ningli Xu , Rongjun Qin
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences , 2024 Best Paper Award (1/229)
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Want ICP (iterative closes point) be applied to terrain-scale DSMs (digital surface model) and even multiple noisy DSMs? Check out the proposed DSM-ICP, which applies a fast and exact nearest neighbor search method leveraging the grid structure of DSM.
Multi-tiling neural radiance field (NeRF)—geometric assessment on large-scale aerial datasets
Ningli Xu , Rongjun Qin , Debao Huang , Fabio Remondino
The Photogrammetric Record , 2024
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NeRF vs Multi-view stereo? We propose multi-camera tiling technique to enable NeRF on large-scale aerial datasets and further conduct experiment to compare their geometry reconstruction performance.
Point cloud registration for LiDAR and photogrammetric data: A critical synthesis and performance analysis on classic and deep learning algorithms
Ningli Xu , Rongjun Qin ,Shuang Song
ISPRS Open Journal of Photogrammetry and Remote Sensing , 2023
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awesome-registration-papers
Review and evaluation experiment of feature-based and ICP-based registration methods on photogrammetry and LiDAR data.
A volumetric change detection framework using UAV oblique photogrammetry – a case study of ultra-high-resolution monitoring of progressive building collapse
Ningli Xu , Debao Huang , Shuang Song , Xiao Ling, Chris Strasbaugh, Alper Yilmaz , Halil Sezen , Rongjun Qin
International Journal of Digital Earth , 2021
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Monitoring of progressive building collapse using photogrammetry technique.
Honors and Awards
Academic Services
Reviewer:
Neural Information Processing Systems (NeurPIS) 2024
British Machine Vision Conference (BMVC) 2024
ISPRS Journal of Photogrammetry and Remote Sensing
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
IEEE Transactions on Image Processing (TIP)
Journal of Spatial Science