A graph-based approach to video anomaly detection from the perspective of superpixels. - Mia Sandra Nicole Siemon; Kamal Nasrollahi; Thomas B. Moeslund (ICMV, 2022)

ThermalSynth: A Novel Approach for Generating Synthetic Thermal Human Scenarios. - Neelu Madan; Mia Sandra Nicole Siemon; Magnus Kaufmann Gjerde; Bastian Starup Petersson; Arijus Grotuzas; Malthe Aaholm Esbensen; Ivan Adriyanov Nikolov; Mark Philip Philipsen; Kamal Nasrollahi; Thomas B. Moeslund (WACV (Workshops), 2023)

Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified. - Mia Sandra Nicole Siemon; Thomas B. Moeslund; Barry Norton; Kamal Nasrollahi (GCPR (2), 2024)

Fall Detection in Hospital Rooms with Probabilistic Graphical Models. - Jacobo González de Frutos; Mia Sandra Nicole Siemon; Kamal Nasrollahi (IPTA, 2024)

Fall Detection: Leveraging Depth Information in Bayesian Networks. - Marc Oliu; Rohat Bozyil; Mia Sandra Nicole Siemon; Alejandro Martinez-Senent; Sergio Escalera; Thomas B. Moeslund; Kamal Nasrollahi (WACV (Workshops), 2025)

Harborfront Anomaly Detection. - Jacob V. Dueholm; Mia Sandra Nicole Siemon; Radu Tudor Ionescu; Thomas B. Moeslund; Kamal Nasrollahi (Neural Process. Lett., 2025)

Video Anomaly Detection with Contours - A Study. - Mia Sandra Nicole Siemon; Ivan A. Nikolov; Thomas B. Moeslund; Kamal Nasrollahi (CoRR, 2025)