Gorjan Radevski

prof_pic.jpg

I am a PhD student (2019 – Present) at the VISICS lab within ESAT-PSI and the LIIR lab within the Computer Science Department at KU Leuven under supervision of Prof. Tinne Tuytelaars & Prof. Marie-Francine Moens.

Starting November 2023, I am working as a Research Consultant at NEC Labs in the Human-Centric AI group.

My current area of research ordinates around (but it’s not limited to) Deep Learning and its applications in Natural Language Processing and Computer Vision. Among other things, I am interested in multimodal problems spanning images, text, videos, audio, knowledge graphs; weakly-supervised learning; (egocentric) video understanding; etc.

I’ve completed Machine Learning (research) internships at:

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

selected publications

  1. EMNLP
    Linking Surface Facts to Large-Scale Knowledge Graphs
    Radevski, Gorjan, Gashteovski, Kiril, Hung, Chia-Chien, Lawrence, Carolin, and Glavaš, Goran
    In The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023
  2. 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
  3. BMVC
    Revisiting spatio-temporal layouts for compositional action recognition
    Radevski, Gorjan, Moens, Marie-Francine, and Tuytelaars, Tinne
    Proceedings BMVC 2021 Oct 2021
    Oral Presentation
  4. EMNLP
    Decoding language spatial relations to 2D spatial arrangements
    Radevski, Gorjan, Collell, Guillem, Moens, Marie Francine, and Tuytelaars, Tinne
    In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings Oct 2020
  5. CoNLL
    Learning to ground medical text in a 3D human atlas
    Grujicic*, Dusan,  Radevski*, Gorjan, Tuytelaars, Tinne, and Blaschko, Matthew
    In Proceedings of the 24th Conference on Computational Natural Language Learning Oct 2020
    *Equal contribution