| Analyzing tracklets for the detection of abnormal crowd behavior H Mousavi, S Mohammadi, A Perina, R Chellali, V Murino 2015 IEEE Winter Conference on Applications of Computer Vision, 148-155, 2015 | 143 | 2015 |
| Angry crowds: Detecting violent events in videos S Mohammadi, A Perina, H Kiani, V Murino Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 114 | 2016 |
| Violence detection in crowded scenes using substantial derivative S Mohammadi, H Kiani, A Perina, V Murino 2015 12th IEEE International Conference on Advanced Video and Signal Based …, 2015 | 76 | 2015 |
| How transferable are self-supervised features in medical image classification tasks? T Truong, S Mohammadi, M Lenga Machine Learning for Health, 54-74, 2021 | 55 | 2021 |
| Penalized variational autoencoder for molecular design S Mohammadi, B O'Dowd, C Paulitz-Erdmann, L Goerlitz | 19 | 2019 |
| Physics-inspired models for detecting abnormal behaviors in crowded scenes S Mohammadi, HK Galoogahi, A Perina, V Murino Group and Crowd Behavior for Computer Vision, 253-272, 2017 | 9 | 2017 |
| Latent diffusion models with image-derived annotations for enhanced ai-assisted cancer diagnosis in histopathology P Osorio, G Jimenez-Perez, J Montalt-Tordera, J Hooge, ... Diagnostics 14 (13), 1442, 2024 | 8 | 2024 |
| Groups and crowds: Behaviour analysis of people aggregations S Mohammadi, F Setti, A Perina, M Cristani, V Murino Computer Vision, Imaging and Computer Graphics Theory and Applications: 11th …, 2017 | 8 | 2017 |
| Summarization and classification of wearable camera streams by learning the distributions over deep features of out-of-sample image sequences A Penna, S Mohammadi, N Jojic, V Murino 2017 IEEE international conference on computer vision (ICCV), 4336-4344, 2017 | 7 | 2017 |
| A comparison of crowd commotion measures from generative models S Mohammadi, H Kiani, A Perina, V Murino Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 6 | 2015 |
| Towards hierarchical regional transformer-based multiple instance learning J Cersovsky, S Mohammadi, D Kainmueller, J Hoehne Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Deep metric learning for few-shot X-ray image classification J Prokop, JM Tordera, J Jaworek-Korjakowska, S Mohammadi medRxiv, 2023.08. 27.23294690, 2023 | 3 | 2023 |
| Fused audio instance and representation for respiratory disease detection T Truong, M Lenga, A Serrurier, S Mohammadi Sensors 24 (19), 6176, 2024 | 2 | 2024 |
| DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training G Jimenez-Perez, P Osorio, J Cersovsky, J Montalt-Tordera, J Hooge, ... arXiv preprint arXiv:2407.11594, 2024 | 1 | 2024 |
| Computer vision for autonomous mobile robotic applications SS Mohammadi | 1 | 2011 |
| Body action detection, identification and/or characterization using a machine learning model SS Mohammadi, S Vogler, M Lenga, D Rechsteiner, A Mitja, ... US Patent App. 18/692,060, 2024 | | 2024 |
| Panoptic Segmentation of Mammograms with Text-to-Image Diffusion Model K Zhao, J Prokop, J Montalt-Tordera, S Mohammadi MICCAI Workshop on Deep Generative Models, 98-108, 2024 | | 2024 |
| FAIR4Cov: Fused Audio Instance and Representation for COVID-19 Detection T Truong, M Lenga, A Serrurier, S Mohammadi arXiv preprint arXiv:2204.10581, 2022 | | 2022 |
| DiNO-Diffusion: Scaling Medical Diffusion Models via Self-Supervised Pre-Training G Jimenez-Perez, P Osório, J Cersovsky, J Montalt-Tordera, J Hooge, ... | | |
Vittorio MurinoProfessor @ University of Verona. PI of AIGO - AI for Good @ Italian Institute of Technology.Geverifieerd e-mailadres voor iit.it