9 citations · 13 across the 3 of their papers we have counts for
3 papers
Resource-Scalable CNN Synthesis for IoT Applications
Mohammad Motamedi, Felix Portillo, Mahya Saffarpour +2
State-of-the-art image recognition systems use sophisticated Convolutional Neural Networks (CNNs) that are designed and trained to identify numerous object classes. Such networks a…
Distill-Net: Application-Specific Distillation of Deep Convolutional Neural Networks for Resource-Constrained IoT Platforms
Mohammad Motamedi, Felix Portillo, Daniel Fong +1
Many Internet-of-Things (IoT) applications demand fast and accurate understanding of a few key events in their surrounding environment. Deep Convolutional Neural Networks (CNNs) ha…
Fast and Energy-Efficient CNN Inference on IoT Devices
Mohammad Motamedi, Daniel Fong, Soheil Ghiasi
Convolutional Neural Networks (CNNs) exhibit remarkable performance in various machine learning tasks. As sensor-equipped internet of things (IoT) devices permeate into every aspec…