5 papers
Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging
Shuhong Liu, Xining Ge, Ziying Gu +7
Astronomical imaging remains noise-limited under practical observing conditions. Standard calibration pipelines remove structured artifacts but largely leave stochastic noise unres…
What Is The Best 3D Scene Representation for Robotics? From Geometric to Foundation Models
Tianchen Deng, Yue Pan, Shenghai Yuan +10
In this paper, we provide a comprehensive overview of existing scene representation methods for robotics, covering traditional representations such as point clouds, voxels, signed…
Accurate Measles Rash Detection via Vision Transformer Fine-Tuning
Harshana Rajakaruna, Dong Li, Anil Shanker +1
Measles, a highly contagious disease declared eliminated in the United States in 2000 after decades of successful vaccination campaigns, resurged in 2025, with 1,356 confirmed case…
DeepAP: Deep Learning-based Aperture Photometry Feasibility Assessment and Aperture Size Prediction
Zheng-Jun Du, Qing-Quan Li, Yi-Cheng Rui +6
Aperture photometry is a fundamental technique widely used to obtain high-precision light curves in optical survey projects like Tianyu. However, its effectiveness is limited in cr…
R3GS: Gaussian Splatting for Robust Reconstruction and Relocalization in Unconstrained Image Collections
Xu yan, Zhaohui Wang, Rong Wei +3
We propose R3GS, a robust reconstruction and relocalization framework tailored for unconstrained datasets. Our method uses a hybrid representation during training. Each anchor comb…