| Revisiting spatio-temporal layouts for compositional action recognition G Radevski, MF Moens, T Tuytelaars Proceedings of the 32nd British Machine Vision Conference 2021 (BMVC), 2021 | 20 | 2021 |
| Cuisine classification using recipe's ingredients S Kalajdziski, G Radevski, I Ivanoska, K Trivodaliev, BR Stojkoska 2018 41st International Convention on Information and Communication …, 2018 | 16 | 2018 |
| Multimodal distillation for egocentric action recognition G Radevski, D Grujicic, M Blaschko, MF Moens, T Tuytelaars Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| Cohort-Derived Machine Learning Models for Individual Prediction of Chronic Kidney Disease in People Living With Human Immunodeficiency Virus: A Prospective Multicenter Cohort … JA Roth*, G Radevski*, C Marzolini, A Rauch, HF Günthard, RD Kouyos, ... The Journal of Infectious Diseases, 2020 | 9 | 2020 |
| Decoding language spatial relations to 2D spatial arrangements G Radevski, G Collell, T Tuytelaars Findings of the Association for Computational Linguistics: EMNLP 2020, 4549-4560, 2020 | 7 | 2020 |
| Self-supervised context-aware Covid-19 document exploration through atlas grounding D Grujicic*, G Radevski*, T Tuytelaars, MB Blaschko | 6 | 2020 |
| A multi-modal AI approach for AGVs: a case study on warehouse automated inventory F Gebellí Guinjoan, E Rademakers, AB Temsamani, M Hutsebaut-Buysse, ... ICAS 2023, The Nineteenth International Conference on Autonomic and …, 2023 | 4* | 2023 |
| A multimodal AI approach for intuitively instructable autonomous systems: a case study of an autonomous off-highway vehicle AB Temsamani, AK Chavali, W Vervoort, T Tuytelaars, G Radevski, ... The Eighteenth International Conference on Autonomic and Autonomous Systems …, 2022 | 4 | 2022 |
| Learning to ground medical text in a 3D human atlas D Grujicic*, G Radevski*, T Tuytelaars, M Blaschko Proceedings of the 24th Conference on Computational Natural Language …, 2020 | 4 | 2020 |
| Linking Surface Facts to Large-Scale Knowledge Graphs G Radevski, K Gashteovski, CC Hung, C Lawrence, G Glavaš Empirical Methods in Natural Language Processing (EMNLP), 2023 | 1 | 2023 |
| Students taught by multimodal teachers are superior action recognizers G Radevski*, D Grujicic*, M Blaschko, MF Moens, T Tuytelaars arXiv preprint arXiv:2210.04331, 2022 | 1 | 2022 |
| GROUPING AND LINKING FACTS FROM TEXT TO REMOVE AMBIGUITY USING KNOWLEDGE GRAPHS K Gashteovski, G Radevski, C Lawrence, G Glavas US Patent App. 18/317,953, 2024 | | 2024 |
| Bridging Modalities and Transferring Knowledge: Enhanced Multimodal Understanding and Recognition G Radevski | | 2024 |
| Estimating calibration error under label shift without labels T Popordanoska*, G Radevski*, T Tuytelaars, MB Blaschko arXiv preprint arXiv:2312.08586, 2023 | | 2023 |
| A multi-modal AI approach for intuitively instructable autonomous systems F Gebellí Guinjoan, M Hutsebaut-Buysse, G Radevski, E Rademakers, ... International Journal on Advances in Systems and Measurements 16 (1&2), 1-13, 2023 | | 2023 |
| A Multi-modal AI Approach for Intuitively Instructable Autonomous Systems FG Guinjoan, E Rademakers, AK Chavali, AB Temsamani, F Make, ... | | |
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
