About

I am a teaching assistant and researcher at the Visual Cognitive Systems Lab, part of the University of Ljubljana, Faculty of Computer and Information Science. My research is supervised by Prof. Matej Kristan, PhD and focuses on object counting, detection, and segmentation, with an emphasis on few-shot learning approaches.

My broader research interests include object detection, object counting, semantic segmentation, few-shot learning, visual object tracking, computer vision, and deep learning.

In addition to academic research, I am involved in applied and industrial computer vision projects, where I develop deep learning methods for real-world problems and applications.

Research

Low-shot counting

The main goal of this research is development of computer-vision-based automated counters that do not require large training datasets, but are adapted to a previously unseen category by using only a few training examples (few-shot), no training examples (zero-shot) or text-based prompts (text-prompt-based).

Projects

COMETAdvanced Computer Vision for Understanding Complex Object Motion in Dynamic Environments

January 2025 - December 2027

This project aims to develop a novel motion understanding paradigm, centered on automatically determining the minimal scene understanding required to track one or multiple objects throughout a video. It tackles three core challenges: developing a few-shot object detector capable of identifying all objects in a category based on limited examples, tracking individual objects amid distractors, and extending this to track transformable objects in complex environments.

MV4.0Data-driven framework for development of machine vision solutions

October 2021 - September 2025

MV4.0 developed a data-driven framework for industrial machine vision that reduces reliance on large densely annotated datasets by combining synthetic data generation, annotation-efficient learning, and self-supervised / unsupervised visual modelling. The project concluded with validated methods for surface-defect detection, object localization and 3DoF pose-related perception, public scientific outputs, and a practical demonstration cell.

Awards

• 2026: Outstanding Reviewer Award at CVPR 2026 (~5% among ~20k reviewers)
• 2025: Faculty Research Award for PhD students, UL-FRI
• 2025: Outstanding Reviewer Award at ICCV 2025 (~3% among ~10k reviewers)
• 2024: University Prešeren Award from the University of Ljubljana for my master’s thesis
• 2024: Excellent Research Achievements in 2024 Award by the Slovenian Research and Innovation Agency for our work on few-shot counting (ARIS)
• 2024: Dr. Uroš Seljak Award for the best student research paper at the University of Ljubljana, for the DAVE paper
• 2023: Best Paper Award at ERK 2023, Pattern Recognition section
• 2023: Dean’s Award for student academic excellence

Teaching

I am actively involved in teaching at the University of Ljubljana, Faculty of Computer and Information Science as a teaching assistant for:

• Machine Perception (Umetno zaznavanje): 2023–present
• Multimedia Systems (Multimedijski sistemi): 2023–2024
• Advanced Computer Vision Methods (Napredne metode računalniškega vida): 2022–2023

Publications

My work has been published at CVPR, NeurIPS, and AAAI, including first-author papers on few-shot object counting and detection. I have also served as a reviewer for the International Journal of Computer Vision, Digital Signal Processing, CVPR, NeurIPS, WACV, ICCV, and AAAI.

A full list of publications is available on my Google Scholar page.