Densely connected normalizing flows. - Matej Grcic; Ivan Grubisic 001; Sinisa Segvic (NeurIPS, 2021)

Dense Open-set Recognition with Synthetic Outliers Generated by Real NVP. - Matej Grcic; Petra Bevandic; Sinisa Segvic (VISIGRAPP (4: VISAPP), 2021)

Dense anomaly detection by robust learning on synthetic negative data. - Matej Grcic; Petra Bevandic; Zoran Kalafatic; Sinisa Segvic (CoRR, 2021)

DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition. - Matej Grcic; Petra Bevandic; Sinisa Segvic (ECCV (25), 2022)

On Advantages of Mask-level Recognition for Outlier-aware Segmentation. - Matej Grcic; Josip Saric; Sinisa Segvic (CVPR Workshops, 2023)

On advantages of Mask-level Recognition for Open-set Segmentation in the Wild. - Matej Grcic; Josip Saric; Sinisa Segvic (CoRR, 2023)

Real time dense anomaly detection by learning on synthetic negative data. - Anja Delic; Matej Grcic; Sinisa Segvic (CoRR, 2023)

Outlier detection by ensembling uncertainty with negative objectness. - Anja Delic; Matej Grcic; Sinisa Segvic (BMVC, 2024)

Fine-grained Classes and How to Find Them. - Matej Grcic; Artyom Gadetsky; Maria Brbic (ICML, 2024)

Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data. - Matej Grcic; Petra Bevandic; Zoran Kalafatic; Sinisa Segvic (Sensors, 2024)

Hybrid Open-Set Segmentation With Synthetic Negative Data. - Matej Grcic; Sinisa Segvic (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Dataset for Semantic Segmentation in the Presence of Unknowns. - Zakaria Laskar; Tomas Vojir; Matej Grcic; Iaroslav Melekhov; Shankar Gangisetty; Juho Kannala; Jiri Matas; Giorgos Tolias; C. V. Jawahar (CVPR, 2025)

Seal Your Backdoor with Variational Defense. - Ivan Sabolic; Matej Grcic; Sinisa Segvic (CoRR, 2025)

Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection. - Anja Delic; Matej Grcic; Sinisa Segvic (CoRR, 2025)