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Mohammad Farhadi
Mohammad Farhadi
在 asu.edu 的电子邮件经过验证 - 首页
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年份
TKD: Temporal knowledge distillation for active perception
MF Bajestani, Y Yang
The IEEE Winter Conference on Applications of Computer Vision, 953-962, 2020
42*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
382019
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
14*2020
AAD: adaptive anomaly detection through traffic surveillance videos
MF Bajestani, SSHR Abadi, SMD Fard, R Khodadadeh
arXiv preprint arXiv:1808.10044, 2018
52018
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
42016
Adaptive and hierarchical convolutional neural networks using partial reconfiguration on fpga
M Farhadi, Y Yezhou
US Patent App. 17/464,069, 2022
12022
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks
M Chelenahalli Satish, D Lu, B Chakravarthi, M Farhadi, Y Yang
arXiv e-prints, arXiv: 2409.00622, 2024
2024
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks
MC Satish, D Lu, B Chakravarthi, M Farhadi, Y Yang
arXiv preprint arXiv:2409.00622, 2024
2024
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
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