2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection
Anja Delić, Matej Grcić, Siniša Šegvić
Detecting anomalous human behaviour is an important visual task in safety-critical applications such as healthcare monitoring, workplace safety, or public surveillance. In these co…
cs.CV2025
A Dataset for Semantic Segmentation in the Presence of Unknowns
Zakaria Laskar, Tomas Vojir, Matej Grcic +6
Before deployment in the real-world deep neural networks require thorough evaluation of how they handle both knowns, inputs represented in the training data, and unknowns (anomalie…
cs.CV2024★ 2 cited
Outlier detection by ensembling uncertainty with negative objectness
Anja Delić, Matej Grcić, Siniša Šegvić
Outlier detection is an essential capability in safety-critical applications of supervised visual recognition. Most of the existing methods deliver best results by encouraging stan…