| Abnormal Event Detection in Videos using Generative Adversarial Nets M Ravanbakhsh, M Nabi, E Sangineto, L Marcenaro, C Regazzoni, ... 2017 IEEE International Conference on Image Processing (ICIP), 1577-1581, 2017 | 479 | 2017 |
| Plug-and-play cnn for crowd motion analysis: An application in abnormal event detection M Ravanbakhsh, M Nabi, H Mousavi, E Sangineto, N Sebe 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1689-1698, 2018 | 239 | 2018 |
| Training adversarial discriminators for cross-channel abnormal event detection in crowds M Ravanbakhsh, E Sangineto, M Nabi, N Sebe 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1896-1904, 2019 | 232 | 2019 |
| Action recognition with image based CNN features M Ravanbakhsh, H Mousavi, M Rastegari, V Murino, LS Davis arXiv preprint arXiv:1512.03980, 2015 | 70 | 2015 |
| Detection and localization of crowd behavior using a novel tracklet-based model H Rabiee, H Mousavi, M Nabi, M Ravanbakhsh International Journal of Machine Learning and Cybernetics 9, 1999-2010, 2018 | 42 | 2018 |
| A multi-perspective approach to anomaly detection for self-aware embodied agents M Baydoun, M Ravanbakhsh, D Campo, P Marin, D Martin, L Marcenaro, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 28 | 2018 |
| Learning multi-modal self-awareness models for autonomous vehicles from human driving M Ravanbakhsh, M Baydoun, D Campo, P Marin, D Martin, L Marcenaro, ... 2018 21st International Conference on Information Fusion (FUSION), 1866-1873, 2018 | 25 | 2018 |
| Deep unsupervised contrastive hashing for large-scale cross-modal text-image retrieval in remote sensing G Mikriukov, M Ravanbakhsh, B Demir arXiv preprint arXiv:2201.08125, 2022 | 21 | 2022 |
| S2-cGAN: Self-supervised adversarial representation learning for binary change detection in multispectral images JLH Alvarez, M Ravanbakhsh, B Demir IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 18 | 2020 |
| Informative and representative triplet selection for multilabel remote sensing image retrieval G Sumbul, M Ravanbakhsh, B Demir IEEE Transactions on Geoscience and Remote Sensing 60, 1-11, 2021 | 17 | 2021 |
| Hierarchy of GANs for learning embodied self-awareness model M Ravanbakhsh, M Baydoun, D Campo, P Marin, D Martin, L Marcenaro, ... 2018 25th IEEE International Conference on Image Processing (ICIP), 1987-1991, 2018 | 17 | 2018 |
| Unsupervised contrastive hashing for cross-modal retrieval in remote sensing G Mikriukov, M Ravanbakhsh, B Demir ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 16 | 2022 |
| Weakly supervised one shot segmentation H Raza, M Ravanbakhsh, T Klein, M Nabi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 16 | 2019 |
| Human-machine collaboration for medical image segmentation M Ravanbakhsh, V Tschernezki, F Last, T Klein, K Batmanghelich, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 13 | 2020 |
| On the effects of different types of label noise in multi-label remote sensing image classification T Burgert, M Ravanbakhsh, B Demir IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 12 | 2022 |
| Cnn-aware binary map for general semantic segmentation M Ravanbakhsh, H Mousavi, M Nabi, M Rastegari, C Regazzoni 2016 IEEE International Conference on Image Processing (ICIP), 1923-1927, 2016 | 10 | 2016 |
| Uncertainty-driven semantic segmentation through human-machine collaborative learning M Ravanbakhsh, T Klein, K Batmanghelich, M Nabi arXiv preprint arXiv:1909.00626, 2019 | 9 | 2019 |
| Multi-label noise robust collaborative learning for remote sensing image classification AK Aksoy, M Ravanbakhsh, B Demir IEEE Transactions on Neural Networks and Learning Systems, 2022 | 8 | 2022 |
| Learning self-awareness for autonomous vehicles: Exploring multisensory incremental models M Ravanbakhsh, M Baydoun, D Campo, P Marin, D Martin, L Marcenaro, ... IEEE Transactions on Intelligent Transportation Systems 22 (6), 3372-3386, 2020 | 8 | 2020 |
| Fast but not deep: Efficient crowd abnormality detection with local binary tracklets M Ravanbakhsh, H Mousavi, M Nabi, L Marcenaro, C Regazzoni 2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018 | 8 | 2018 |
Moin NabiPrincipal Scientist at SAP AI ResearchVerified email at uw.edu
