Densely connected normalizing flows M Grcić, I Grubišić, S Šegvić NeurIPS 2021, 2021 | 52 | 2021 |
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition M Grcić, P Bevandić, S Šegvić ECCV 2022, 2022 | 47 | 2022 |
Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data M Grcić, P Bevandić, Z Kalafatić, S Šegvić Sensors 24 (4), 1248, 2024 | 38* | 2024 |
Dense open-set recognition with synthetic outliers generated by Real NVP M Grcić, P Bevandić, S Šegvić 16th International Joint Conference on Computer Vision, Imaging and Computer …, 2020 | 32 | 2020 |
On Advantages of Mask-level Recognition for Outlier-aware Segmentation M Grcić, J Šarić, S Šegvić CVPR 2023 Workshop Visual Anomaly and Novelty Detection (VAND), 2023 | 9 | 2023 |
Hybrid open-set segmentation with synthetic negative data M Grcić, S Šegvić IEEE transactions on pattern analysis and machine intelligence, 2024 | 3 | 2024 |
Outlier detection by ensembling uncertainty with negative objectness A Delić, M Grcić, S Šegvić arXiv preprint arXiv:2402.15374, 2024 | | 2024 |
Detekcija izvandistribucijskih dijelova slike primjenom generativnih modela M Grcić University of Zagreb. Faculty of Electrical Engineering and Computing, 2020 | | 2020 |