I am a young researcher at Visual Cognitive Systems Lab at the Faculty of Computer and Information Science, University of Ljubljana, working on my PhD under the supervision of doc. dr. Luka Čehovin Zajc.

My research primarily focuses on remote sensing, change detection and anomaly detection, while my interests also include broader topics in computer vision and deep learning.

Research

Remote sensing

Contains 4 subtopics

We use modern computer vision and machine learning methods to analyze the growing volume of satellite and aerial imagery and address a range of remote-sensing problems.

Visual anomaly detection

This research focuses on the development of unsupervised visual anomaly detection methods. Trained on anomaly-free samples only, these methods attempt to remove the need for a difficult acquisition of a diverse set of anomalous objects while aiming to match the performance of supervised methods.

Industrial surface defect detection

The developed methods allow specialization for large defect detection on various indistrual items such as cracks, smudges, imperfections etc. The methods are learning-based and are thus robust, run realtime and are applicable to a wide range of real problems.

Awards

• 2025: Best Poster Award, sponsored by the European Space Agency (ESA) at GRSS IADF School on Computer Vision for Earth Observation for our work Be the Change You Want to See: Revisiting Remote Sensing Change Detection Practices.
• 2024: Dean award for student academic excellence