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Bevandić, Petra ; Oršić, Marin ; Šarić, Josip ; Grubišić, Ivan ; Šegvić, Siniša
Weakly Supervised Training of Universal Visual Concepts for Multi-domain Semantic Segmentation // International journal of computer vision, (2024), 1-23. doi: 10.1007/s11263-024-01986-z
Bevandić, Petra ; Krešo, Ivan ; Oršić, Marin ; Šegvić, Siniša
Dense open-set recognition based on training with noisy negative images // Image and vision computing, 124 (2022), 104490, 19. doi: 10.1016/j.imavis.2022.104490
Bevandić, Petra ; Oršić, Marin ; Grubišić, Ivan ; Šarić, Josip ; Šegvić, Sinisa
Multi-domain semantic segmentation with overlapping labels // Proceeedings of IEEE/CVF Winter Conference on Applications of Computer Vision / Bowyer, Kevin ; Medioni, Gérard ; Scheirer, Walter (ur.). Waikoloa (HI): Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 2422-2431 doi: 10.1109/wacv51458.2022.00248
Marin Oršić
Efficient semantic image segmentation using pyramidal fusion / Siniša Šegvić (mentor);
Zagreb, Fakultet elektrotehnike i računarstva, . 2021
Grubišić, Ivan ; Oršić, Marin ; Šegvić, Siniša
A baseline for semi-supervised learning of efficient semantic segmentation models // Proceedings of MVA 2021 - 17th International Conference on Machine Vision Applications. 2021. str. 1-5 doi: 10.23919/mva51890.2021.9511402
Šarić, Josip ; Oršić, Marin ; Antunović, Tonći ; Vražić, Sacha ; Šegvić, Siniša
Warp to the Future: Joint Forecasting of Features and Feature Motion // 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 1-10
Oršić, Marin ; Bevandić, Petra ; Grubišić, Ivan ; Šarić, Josip ; Šegvić , Siniša
Multi-domain semantic segmentation with pyramidal fusion // arXiv:2009.01636. 2020.
