Gorjan Radevski

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I am a Research Associate (June 2024 – present) at the VISICS lab within ESAT-PSI working together with Prof. Tinne Tuytelaars. My current area of research ordinates around (but it is not limited to) Deep Learning and its applications in Natural Language Processing and Computer Vision. Among other things, I am interested in the applications of LLMs on multimodal problems spanning images, text, videos, audio, knowledge graphs; weakly-supervised learning; (egocentric) video understanding; etc.

Additionally, I am working as a (remote) Research Consultant at NEC Labs in the Human-Centric AI group (November 2023 – present). The projects I work on involve Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and enhancing the interpretability of LLMs.

During my PhD and Master’s studies I completed Machine Learning (research) internships at:

In the past, I finished a PhD (2024) and graduated Cum Laude from the Master in Artificial Intelligence (2019) at KU Leuven, and did a Bachelor in Computer Science at University of Ss. Cyril and Methodius in North Macedonia (2017).

selected publications

  1. PhD Thesis
    Bridging Modalities and Transferring Knowledge: Enhanced Multimodal Understanding and Recognition
    Radevski, Gorjan
    2024
  2. EMNLP
    Linking Surface Facts to Large-Scale Knowledge Graphs
    Radevski, Gorjan, Gashteovski, Kiril, Hung, Chia-Chien, Lawrence, Carolin, and Glavaš, Goran
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing 2023
  3. ICCV
    Multimodal Distillation for Egocentric Action Recognition
    Radevski*, Gorjan, Grujicic*, Dusan, Blaschko, Matthew, Moens, Marie-Francine, and Tuytelaars, Tinne
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Oct 2023
    *Equal contribution
  4. BMVC
    Revisiting Spatio-Temporal Layouts for Compositional Action Recognition
    Radevski, Gorjan, Moens, Marie-Francine, and Tuytelaars, Tinne
    Proceedings BMVC 2021 Oct 2021
    Oral Presentation