A critical study on the recent deep learning based semi-supervised video anomaly detection methods M Baradaran, R Bergevin Multimedia Tools and Applications (MTAP), 2023 | 17 | 2023 |
Multi-task learning based video anomaly detection with attention M Baradaran, R Bergevin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 7 | 2023 |
Object Class Aware Video Anomaly Detection through Image Translation M Baradaran, R Bergevin CRV2022, 2022 | 7 | 2022 |
Future Video Prediction from a Single Frame for Video Anomaly Detection M Baradaran, R Bergevin ISVC2023, https://doi.org/10.1007/978-3-031-47969-, 2023 | 4 | 2023 |
Development of a discrete choice experiment questionnaire to elicit preferences by pregnant women and policymakers for the expansion of non-invasive prenatal screening HM Nguyen, C Lindsay, M Baradaran, JR Guertin, L Nshimyumukiza, ... Plos one 18 (6), e0287653, 2023 | 2 | 2023 |
Pregnant women's and policymakers' preferences for the expansion of noninvasive prenatal screening: A discrete choice experiment approach study HM Nguyen, M Baradaran, G Daigle, L Nshimyumukiza, JR Guertin, ... Health Science Reports 6 (8), e1516, 2023 | 1 | 2023 |
Deep learning based semi-supervised video anomaly detection M Baradaran | 1 | 2023 |
Expansion of non-invasive prenatal screening to the screening of 10 types of chromosomal anomalies: a cost-effectiveness analysis B Soukkhaphone, M Baradaran, BD Nguyen, L Nshimyumukiza, J Little, ... BMJ open 13 (8), e069485, 2023 | | 2023 |
Trajectory Based Abnormal Event Detection in Surveillance Video. M mohammad Baradaran Iranian national Conference on Electrical Engineering, 2013 | | 2013 |
Clustering based Abnormal Event Detection in Surveillance Video M mohammad Baradara International conference in computer engineering and IT, 2013 | | 2013 |
Aarabi, Parham 58 Abad, Andres G. 67 Abdollahzadeh, Sakineh 213 Abedi, Ali 16 AB Albu, MS Allili, D Asmar, M Baradaran, G Bathla, R Bergevin, ... | | |