Filip Wolf, MSc

Researcher

I am a PhD studenet at Visual Cognitive Systems Lab at the Faculty of Computer and Information Science, University of Ljubljana, under the supervision of Luka Čehovin Zajc.

My research primarily focuses on multimodal Earth observation foundation models (EOFMs) tailored towards dense tasks like segmentation.

Research

Remote sensing

Remote sensing involves scanning of the earth by satellite or high-flying aircraft and analyzing it. Since the amount of data acquired this way is huge and growing, matchine learning can be used to perform tasks efficently. We are using modern computer vision methods and apply them to different problems in remote sensing.

Projects

EOFuseREarth Observation with Sensor-Fusion and Representation Learning

January 2025 - April 2026
This ESA funded project investigates the relationship between sensor fusion and self-supervised learning for data-driven Earth Observation. We focus on the role of self-supervised deep learning for sensor fusion from the perspective of different sources with different spatial resolutions and spectral coverage. The project is grounded in a real-world application in the field of hydrology, where the goal is to predict the water level in rivers using satellite and drone imagery.

RoDEORobust Deep Learning for Earth Observation​

January 2025 - December 2027
This ARIS funded project investigats the relationship between sensor fusion and self-supervised learning for data-driven Earth Observation. We focus on the role of self-supervised deep learning for sensor fusion from the perspective of different sources with different spatial resolutions and spectral coverage. The project is grounded in a real-world application in the field of hydrology, where the goal is to predict the water level in rivers using satellite and drone imagery.

Awards

Publications