6 papers
More with Less: a Large Scale Remote Sensing VLM with a Simple Recipe
Stefan Maria Ailuro, Mario Markov, Mohammad Mahdi +2
Remote sensing vision-language models are increasingly expected to support open-ended reasoning over Earth Observation data and a variety of tasks. Most recent progress in this are…
B-GRTO: Bootstrapped Group Relative Tool Optimization for Referring Segmentation
Mario Markov, Stefan Maria Ailuro, Mohammad Mahdi +2
Segmentation is a fundamental task in computer vision, underpinning pixel-level scene understanding and serving as a cornerstone for applications ranging from autonomous perception…
OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs
Stefan Maria Ailuro, Mario Markov, Mohammad Mahdi +3
Vision-Language Models (VLMs) adapted to remote sensing rely heavily on domain-specific image-text supervision, yet high-quality annotations for satellite and aerial imagery remain…
FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle
Mario Markov, Stefan Maria Ailuro, Luc Van Gool +2
Predicting wildfire risk is a reasoning-intensive spatial problem that requires the integration of visual, climatic, and geographic factors to infer continuous risk maps. Existing…
Data-Driven Uncertainty-Aware Forecasting of Sea Ice Conditions in the Gulf of Ob Based on Satellite Radar Imagery
Stefan Maria Ailuro, Anna Nedorubova, Timofey Grigoryev +2
The increase in Arctic marine activity due to rapid warming and significant sea ice loss necessitates highly reliable, short-term sea ice forecasts to ensure maritime safety and op…
TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization
Andrei Ivanov, Stefan Maria Ailuro
Polynomial regression is widely used and can help to express nonlinear patterns. However, considering very high polynomial orders may lead to overfitting and poor extrapolation abi…