2 citations · 2 across the 3 of their papers we have counts for
4 papers
WISE: A Lightweight, Weakly-Supervised Model for Onboard Fire Smoke Detection and Localization
Sha Lu, Yu Sun, Liang Zhao +6
Wildfire smoke detection from satellite imagery is critical for early warning and rapid response. For onboard satellite deployment, detection systems must operate under strict memo…
uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN
Sha Lu, Jixue Liu, Stefan Peters +4
Anomaly detection in tabular data is challenging due to high dimensionality, complex feature dependencies, and heterogeneous noise. Many existing methods rely on proximity-based cu…
A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery
Jixue Liu, Jiuyong Li, Stefan Peters +1
Many studies have been done to detect smokes from satellite imagery. However, these prior methods are not still effective in detecting various smokes in complex backgrounds. Smokes…
Learning Class-Specific Spectral Patterns to Improve Deep Learning Based Scene-Level Fire Smoke Detection from Multi-Spectral Satellite Imagery
Liang Zhao, Jixue Liu, Stefan Peters +3
Detecting fire smoke is crucial for the timely identification of early wildfires using satellite imagery. However, the spatial and spectral similarity of fire smoke to other confou…