| 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 | 175 | 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 | 119 | 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 | 99 | 2019 |
| Action recognition with image based CNN features M Ravanbakhsh, H Mousavi, M Rastegari, V Murino, LS Davis arXiv preprint arXiv:1512.03980, 2015 | 50 | 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 (12), 1999-2010, 2018 | 26 | 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 | 23 | 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 | 20 | 2018 |
| 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 | 14 | 2018 |
| 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 | 9 | 2016 |
| Weakly supervised one shot segmentation H Raza, M Ravanbakhsh, T Klein, M Nabi Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 8 | 2019 |
| 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 | 5 | 2018 |
| Abnormal event recognition in crowd environments M Nabi, H Mousavi, H Rabiee, M Ravanbakhsh, V Murino, N Sebe Applied Cloud Deep Semantic Recognition, 37-56, 2018 | 5 | 2018 |
| 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, 2020 | 3 | 2020 |
| Uncertainty-driven semantic segmentation through human-machine collaborative learning M Ravanbakhsh, T Klein, K Batmanghelich, M Nabi arXiv preprint arXiv:1909.00626, 2019 | 3 | 2019 |
| Human-Machine Collaboration for Medical Image Segmentation F Last, T Klein, M Ravanbakhsh, M Nabi, K Batmanghelich, V Tresp | 1 | 2018 |
| Efficient Convolutional Neural Network with Binary Quantization Layer M Ravanbakhsh, H Mousavi, M Nabi, L Marcenaro, C Regazzoni Conference on Advances in Neural Information Processing Systems (NIPS 2016 …, 2016 | 1 | 2016 |
| CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels AK Aksoy, M Ravanbakhsh, T Kreuziger, B Demir arXiv preprint arXiv:2012.10715, 2020 | | 2020 |
| S2-cGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images JL Holgado Alvarez, M Ravanbakhsh, B Demir arXiv e-prints, arXiv: 2007.02565, 2020 | | 2020 |
| 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 | | 2020 |
| Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series M Ravanbakhsh arXiv preprint arXiv:1904.04741, 2019 | | 2019 |
Moin NabiSenior Research Scientist at SAPEmail verificata su uw.edu
