Matej Grcic

According to our database, Matej Grcic authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

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

Outlier detection by ensembling uncertainty with negative objectness.

Anja Delic, Matej Grcic, Sinisa Segvic

CoRR, 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

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