About

I am a PhD student at the Visual Cognitive Systems Lab at the University of Ljubljana, Faculty of Computer and Information Science. My research is supervised by Assoc. Prof. Matej Kristan, PhD and focuses on the development of deep computer vision models for obstacle detection in the marine domain.

My research interests include computer vision, deep learning, semantic segmentation, weak supervision and panoptic segmentation.

In the past I’ve collaborated on various research projects applying computer vision and deep learning to practical tasks like surface anomaly detection, earth observation and healthcare applications.

Research

Defect detection for reflective surfaces

We are designing novel deep architectures for detection of smooth deformations on reflective surfaces like dents. The methods are learning-based and are thus robust, run realtime and are applicable to a wide range of real problems.

Physics informed deep learning prediction models

This research is dedicated to geophyiscs prediction problems such as sea surface height dynamics modelling for predicting coastal floods. We are developing new physics-informed machine learning models that rival gephysics numerical models, while performing orders of magnitude faster.

Current projects

Publications