1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
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…