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ORCIDMohammad Farhadi
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2020 – today
- 2024
[i3]Manthan Chelenahalli Satish, Duo Lu, Bharatesh Chakravarthi
, Mohammad Farhadi, Yezhou Yang:
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks. CoRR abs/2409.00622 (2024)- 2022
- [j1]Mohammad Farhadi, Mahmoud Shahrokhi, Seyed Habib A. Rahmati:
Developing a supplier selection model based on Markov chain and probability tree for a k-out-of-N system with different quality of spare parts. Reliab. Eng. Syst. Saf. 222: 108387 (2022) - 2020
- [c4]Mohammad Farhadi, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang:
Enabling Incremental Knowledge Transfer for Object Detection at the Edge. CVPR Workshops 2020: 1591-1599 - [c3]Mohammad Farhadi, Yezhou Yang:
TKD: Temporal Knowledge Distillation for Active Perception. WACV 2020: 942-951
2010 – 2019
- 2019
- [c2]Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang:
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA. HPEC 2019: 1-7 - [i2]Mohammad Farhadi, Yezhou Yang:
TKD: Temporal Knowledge Distillation for Active Perception. CoRR abs/1903.01522 (2019) - [i1]Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang:
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA. CoRR abs/1909.05653 (2019) - 2017
- [c1]Angelo Coluccia, Marian Ghenescu, Tomas Piatrik, Geert De Cubber, Arne Schumann, Lars Wilko Sommer, Johannes Klatte, Tobias Schuchert, Jürgen Beyerer, Mohammad Farhadi, Ruhallah Amandi, Cemal Aker, Sinan Kalkan, Muhammad Saqib, Nabin Sharma, Sultan Daud Khan, Khan Makkah, Michael Blumenstein:
Drone-vs-Bird detection challenge at IEEE AVSS2017. AVSS 2017: 1-6
Coauthor Index
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