About

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

I have a diverse range of research interest, such as object detection, object counting, semantic segmentation, few-shot learning, visual object tracking, and the broader domains of computer vision and deep learning.

I am engaged in both research and industry projects, where I apply computer vision and deep learning techniques to address real-world problems, applications, and diverse challenges.

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).

Awards

• 2024: University Prešeren award from UNI-LJ for masters thesis
• 2024: Award for exceptional scientific achievement in the Republic of Slovenia in the year 2024 (ARIS).
• 2024 received Uroš Seljak award for best student research paper at UL (DAVE paper).
• 2023 Best paper award at ERK 2023 Pattern recognition section
• 2023 Dean award for Student academic excellence

Publications

First author of papers published at CVPR and NeurIPS, serving reviewer for CVPR, WACV.