Matej Grcic

According to our database, Matej Grcic authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Mining Generalizable Activation Functions.

Alex Vitvitskyi, Michael Boratko, Matej Grcic, Razvan Pascanu, Deep Shah, Petar Velickovic

CoRR, February, 2026

2025

Seal Your Backdoor with Variational Defense.

Ivan Sabolic, Matej Grcic, Sinisa Segvic

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Sequential Keypoint Density Estimator: an Overlooked Baseline of Skeleton-Based Video Anomaly Detection.

Anja Delic, Matej Grcic, Sinisa Segvic

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Hybrid Open-Set Segmentation With Synthetic Negative Data.

Matej Grcic, Sinisa Segvic

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

Dense Out-of-Distribution Detection by Robust Learning on Synthetic Negative Data.

Matej Grcic, Petra Bevandic, Zoran Kalafatic, Sinisa Segvic

Sensors, February, 2024

Fine-grained Classes and How to Find Them.

Matej Grcic, Artyom Gadetsky, Maria Brbic

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Outlier detection by ensembling uncertainty with negative objectness.

Anja Delic, Matej Grcic, Sinisa Segvic

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Real time dense anomaly detection by learning on synthetic negative data.

Anja Delic, Matej Grcic, Sinisa Segvic

CoRR, 2023

On advantages of Mask-level Recognition for Open-set Segmentation in the Wild.

Matej Grcic, Josip Saric, Sinisa Segvic

CoRR, 2023

On Advantages of Mask-level Recognition for Outlier-aware Segmentation.

Matej Grcic, Josip Saric, Sinisa Segvic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition.

Matej Grcic, Petra Bevandic, Sinisa Segvic

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Dense anomaly detection by robust learning on synthetic negative data.

Matej Grcic, Petra Bevandic, Zoran Kalafatic, Sinisa Segvic

CoRR, 2021

Dense Open-set Recognition with Synthetic Outliers Generated by Real NVP.

Matej Grcic, Petra Bevandic, Sinisa Segvic

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Densely connected normalizing flows.

Matej Grcic, Ivan Grubisic, Sinisa Segvic

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021