Blaž Rolih

Researcher

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

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.

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