1 citations · 1 across the 5 of their papers we have counts for
5 papers
From Orbit to Ground: Generative City Photogrammetry from Extreme Off-Nadir Satellite Images
Fei Yu, Yu Liu, Luyang Tang +10
City-scale 3D reconstruction from satellite imagery presents the challenge of extreme viewpoint extrapolation, where our goal is to synthesize ground-level novel views from sparse…
Pose-Free 3D Quantitative Phase Imaging of Flowing Cellular Populations
Enze Ye, Wei Lin, Shaochi Ren +5
High-throughput 3D quantitative phase imaging (QPI) in flow cytometry enables label-free, volumetric characterization of individual cells by reconstructing their refractive index (…
FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation
Siyi Chen, Yixuan Jia, Qing Qu +2
Data assimilation (DA) integrates observations with a dynamical model to estimate states of PDE-governed systems. Model-driven methods (e.g., Kalman, particle) presuppose full know…
Reconstructing Satellites in 3D from Amateur Telescope Images
Zhiming Chang, Boyang Liu, Yifei Xia +3
Monitoring space objects is crucial for space situational awareness, yet reconstructing 3D satellite models from ground-based telescope images is challenging due to atmospheric tur…
MoEC: Mixture of Experts Implicit Neural Compression
Jianchen Zhao, Cheng-Ching Tseng, Ming Lu +4
Emerging Implicit Neural Representation (INR) is a promising data compression technique, which represents the data using the parameters of a Deep Neural Network (DNN). Existing met…