Hi!

I am Matej Grcić, PhD in Machine Learning and research associate at Faculty of Electrical Engineering and Computing. My research focuses on combining the expressiveness of deep learning and versatility of probabilistic modeling to develop robust and reliable ML models for real-world applications.

During my PhD studies, under supervision of prof. Siniša Šegvić, my research focused on enhancing the safey of deep models deployed in the real world. Specifically, I worked on open-set and outlier-aware semantic segmentation with a strong emphasis on real-time applications such as autonomous driving. I also worked on semantic segmentation of traffic scenes with adverse driving conditions, which resulted in winning CVPR’22 Vision4AllSeasons competition.

I spent three semesters at EPFL as visiting PhD student supervised by prof. Maria Brbic and funded by Swiss Government Excellence Scholarship. There, I explored fundamental machine learning topics, including recognition and representation learning under limited supervision. This research has led to the development of weakly-supervised models capable of discovering fine-grained subclasses.

Prior to PhD, I earned both Master’s and Bachelor’s degrees from the University of Zagreb, where I was honored with the Rector’s Award for outstanding individual research. During my studies, I also gained valuable industry experience through internships at LifeNome, Axilis, and CROZ.

I am always open to discussions and collaborations. Feel free to reach out to me via email.