| TKD: Temporal knowledge distillation for active perception MF Bajestani, Y Yang The IEEE Winter Conference on Applications of Computer Vision, 953-962, 2020 | 36* | 2020 |
| A novel design of adaptive and hierarchical convolutional neural networks using partial reconfiguration on fpga M Farhadi, M Ghasemi, Y Yang 2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019 | 30 | 2019 |
| Enabling Incremental Knowledge Transfer for Object Detection at the Edge MF Bajestani, M Ghasemi, S Vrudhula, Y Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 12* | 2020 |
| AAD: adaptive anomaly detection through traffic surveillance videos MF Bajestani, SSHR Abadi, SMD Fard, R Khodadadeh arXiv preprint arXiv:1808.10044, 2018 | 3 | 2018 |
| A novel key distribution scheme against storage-bounded adversaries using attack probabilities MF BAJESTANI, ALI PAYANDEH Turkish Journal of Electrical Engineering and Computer Sciences 24 (3), 1014 …, 2016 | 2 | 2016 |
| Adaptive and hierarchical convolutional neural networks using partial reconfiguration on fpga M Farhadi, Y Yezhou US Patent App. 17/464,069, 2022 | 1 | 2022 |
| Systems and methods for an adaptive and region-scale proposing mechanism for object recognition systems M Farhadi, Y Yezhou, RSK Varma US Patent App. 18/460,053, 2024 | | 2024 |
| Temporal knowledge distillation for active perception M Farhadi, Y Yezhou US Patent App. 17/504,257, 2022 | | 2022 |
| ARGOS: Adaptive Recognition and Gated Operation System for Real-Time Vision Applications MF Bajestani Arizona State University, 2022 | | 2022 |
