| Deep-cascade: Cascading 3d deep neural networks for fast anomaly detection and localization in crowded scenes M Sabokrou, M Fayyaz, M Fathy, R Klette IEEE Transactions on Image Processing 26 (4), 1992-2004, 2017 | 2114 | 2017 |
| Deep-anomaly: Fully convolutional neural network for fast anomaly detection in crowded scenes M Sabokrou*, M Fayyaz*, M Fathy, Z Moayed, R Klette Computer Vision and Image Understanding, 2018 | 555 | 2018 |
| Temporal 3d convnets: New architecture and transfer learning for video classification A Diba, M Fayyaz, V Sharma, AH Karami, MM Arzani, R Yousefzadeh, ... arXiv preprint arXiv:1711.08200, 2017 | 333 | 2017 |
| Spatio-temporal channel correlation networks for action classification A Diba*, M Fayyaz*, V Sharma, M Mahdi Arzani, R Yousefzadeh, J Gall, ... Proceedings of the European Conference on Computer Vision (ECCV), 284-299, 2018 | 229 | 2018 |
| Diffusion models in medical imaging: A comprehensive survey A Kazerouni, EK Aghdam, M Heidari, R Azad, M Fayyaz, I Hacihaliloglu, ... Medical Image Analysis 88, 102846, 2023 | 205 | 2023 |
| Large Scale Holistic Video Understanding A Diba*, M Fayyaz*, V Sharma*, M Paluri, J Gall, R Stiefelhagen, ... European Conference on Computer Vision, 593-610, 2020 | 156* | 2020 |
| Adaptive token sampling for efficient vision transformers M Fayyaz, SA Koohpayegani, FR Jafari, S Sengupta, HRV Joze, ... European Conference on Computer Vision, 396-414, 2022 | 152 | 2022 |
| Lets keep it simple, using simple architectures to outperform deeper and more complex architectures SH Hasanpour, M Rouhani, M Fayyaz, M Sabokrou arXiv preprint arXiv:1608.06037, 2016 | 146 | 2016 |
| Diffusion models for medical image analysis: A comprehensive survey A Kazerouni, EK Aghdam, M Heidari, R Azad, M Fayyaz, I Hacihaliloglu, ... arXiv preprint arXiv:2211.07804, 2022 | 137 | 2022 |
| AVID: Adversarial Visual Irregularity Detection M Sabokrou*, M Pourreza*, M Fayyaz*, R Entezari, M Fathy, J Gall, ... Asian Conference on Computer Vision, 488-505, 2018 | 125 | 2018 |
| STFCN: spatio-temporal FCN for semantic video segmentation M Fayyaz, MH Saffar, M Sabokrou, M Fathy, R Klette, F Huang arXiv preprint arXiv:1608.05971, 2016 | 91 | 2016 |
| Sct: Set constrained temporal transformer for set supervised action segmentation M Fayyaz, J Gall Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 78 | 2020 |
| Fast weakly supervised action segmentation using mutual consistency Y Souri*, M Fayyaz*, L Minciullo, G Francesca, J Gall IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 69 | 2021 |
| Towards principled design of deep convolutional networks: Introducing simpnet SH HasanPour, M Rouhani, M Fayyaz, M Sabokrou, E Adeli arXiv preprint arXiv:1802.06205, 2018 | 51 | 2018 |
| STFCN: spatio-temporal fully convolutional neural network for semantic segmentation of street scenes M Fayyaz, MH Saffar, M Sabokrou, M Fathy, F Huang, R Klette Asian Conference on Computer Vision, 493-509, 2016 | 47 | 2016 |
| Temporal 3d convnets using temporal transition layer A Diba, M Fayyaz, V Sharma, A Hossein Karami, M Mahdi Arzani, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 46 | 2018 |
| Long short view feature decomposition via contrastive video representation learning N Behrmann, M Fayyaz, J Gall, M Noroozi Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 42 | 2021 |
| Ret-llm: Towards a general read-write memory for large language models A Modarressi, A Imani, M Fayyaz, H Schütze arXiv preprint arXiv:2305.14322, 2023 | 32 | 2023 |
| Online signature verification using deep representation: a new descriptor MH Saffar, M Fayyaz, M Sabokrou, M Fathy arXiv preprint arXiv:1806.09986, 2018 | 31* | 2018 |
| Online signature verification based on feature representation M Fayyaz, MH Saffar, M Sabokrou, M Hoseini, M Fathy 2015 the international symposium on artificial intelligence and signal …, 2015 | 30 | 2015 |
Mohammad SabokrouOkinawa Institute of Science and TechnologyVerified email at oist.jp
