Congli Wang — accepted AI-conference papers

2024

Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation

Dong Lao, Congli Wang, Alex Wong, Stefano Soatto

CVPR 2024highlight

We describe a method for recovering the irradiance underlying a collection of images corrupted by atmospheric turbulence. Since supervised data is often technically impossible to obtain assumptions and biases have to be imposed to solve this inverse problem and we choose to model them explicitly. Ra…

Cited by 5 Source ↗PDF ↗Scholar ↗

2020

TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos

Guangming Zang, Ramzi Idoughi, Congli Wang, Anthony Bennett, Jianguo Du, Scott Skeen +3

CVPR 2020poster

Visible light tomography is a promising and increasingly popular technique for fluid imaging. However, the use of a sparse number of viewpoints in the capturing setups makes the reconstruction of fluid flows very challenging. In this paper, we present a state-of-the-art 4D tomographic reconstruction…

Cited by 37 PDF ↗Scholar ↗