| 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 | 181 | 2018 |
| Analyzing tracklets for the detection of abnormal crowd behavior H Mousavi, S Mohammadi, A Perina, R Chellali, V Mur 2015 IEEE Winter Conference on Applications of Computer Vision (WACV), 148-155, 2015 | 113 | 2015 |
| Action Recognition with Image Based CNN Features M Ravanbakhsh, H Mousavi, M Rastegari, V Murino, LS Davis arXiv preprint arXiv:1512.03980, 2015 | 54 | 2015 |
| Novel Dataset for Fine-grained Abnormal Behavior Understanding in Crowd HR Rabiee, J Haddadnia, H Mousavi, M Kalantarzadeh, M Nabi, V Murino IEEE Advanced Video and Signal-based Surveillance (AVSS), 2016 | 47 | 2016 |
| Crowd motion monitoring using tracklet-based commotion measure H Mousavi, M Nabi, H Kiani, A Perina, V Murino 2015 IEEE International Conference on Image Processing (ICIP), 2354-2358, 2015 | 45 | 2015 |
| Abnormality detection with improved histogram of oriented tracklets H Mousavi, M Nabi, HK Galoogahi, A Perina, V Murino International Conference on Image Analysis and Processing, 722-732, 2015 | 41 | 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 | 34 | 2018 |
| A multielectrode array microchannel platform reveals both transient and slow changes in axonal conduction velocity R Habibey, S Latifi, H Mousavi, M Pesce, E Arab-Tehrany, A Blau Nature - Scientific Reports 7 (1), 8558, 2017 | 30 | 2017 |
| Crowd behavior representation: an attribute-based approach H Rabiee, J Haddadnia, H Mousavi, M Nabi, V Murino, N Sebe SpringerPlus 5 (1), 1179, 2016 | 21 | 2016 |
| Emotion-based crowd representation for abnormality detection H Rabiee, J Haddadnia, H Mousavi, M Nabi, V Murino, N Sebe arXiv preprint arXiv:1607.07646, 2016 | 20 | 2016 |
| Detecting abnormal behavioral patterns in crowd scenarios H Mousavi, HK Galoogahi, A Perina, V Murino Toward Robotic Socially Believable Behaving Systems-Volume II, 185-205, 2016 | 17 | 2016 |
| CNN-aware Binary Map for General Semantic Segmentation M Ravanbakhsh, H Mousavi, M Nabi, M Rastegari, C Regazzoni Image Processing (ICIP), 2016 IEEE International Conference on, 2016 | 10 | 2016 |
| Abnormal Event Recognition in Crowd Environments N Sebe, V Murino, M Ravanbakhsh, H Rabiee, H Mousavi, M Nabi Applied Cloud Deep Semantic Recognition, 37-56, 2018 | 5 | 2018 |
| Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets M Ravanbakhsh, H Mousavi, M Nabi, L Marcenaro, C Regazzoni IEEE Advanced Video and Signal-based Surveillance (AVSS), 2018 | 4 | 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 |
| Predictive Coding Networks Meet Action Recognition X Huang, H Mousavi, G Roig 2020 IEEE International Conference on Image Processing (ICIP), 793-797, 2020 | | 2020 |
| Non-invasive long-term recording of microchannel-confined axonal activity R Habibey, H Mousavi, M Pesce, M Nanni, A Blau MEA Meeting 2016 | 10th International Meeting on Substrate-Integrated …, 2016 | | 2016 |
| Analyzing Motion For Human Behavior Understanding H Mousavi Ph.D. Thesis, Istituto Italiano di Tecnologia (IIT), 2016 | | 2016 |
| Long-term Dynamics of Axonal Biophysics and Morphology in Vitro R Habibey, M Pesce, H Mousavi, A Blau Federation of European Neuroscience Societies (FENS 2016), 2016 | | 2016 |
| A Novel Method for Power Allocation in MIMO-OFDM Systems with the Purpose of Increasing the Whole Capacity HR Rabiee, H Dehbovid, R Hajizadeh, AR Soofinezhadmoghaddam, ... Australian Journal of Basic and Applied Sciences 5 (572-579), 8, 2011 | | 2011 |
Moin NabiPrincipal Research Scientist at SAP AI Researchuw.edu üzerinde doğrulanmış e-posta adresine sahip
