57 citations · 60 across the 10 of their papers we have counts for
3 papers · 1 filter
Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing
Hadjer Benmeziane, Halima Bouzidi, Hamza Ouarnoughi +2
Deep learning has enabled various Internet of Things (IoT) applications. Still, designing models with high accuracy and computational efficiency remains a significant challenge, es…
HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices
Lotfi Abdelkrim Mecharbat, Hadjer Benmeziane, Hamza Ouarnoughi +1
Vision Transformers have enabled recent attention-based Deep Learning (DL) architectures to achieve remarkable results in Computer Vision (CV) tasks. However, due to the extensive…
Performance Prediction for Convolutional Neural Networks in Edge Devices
Halima Bouzidi, Hamza Ouarnoughi, Smail Niar +1
Running Convolutional Neural Network (CNN) based applications on edge devices near the source of data can meet the latency and privacy challenges. However due to their reduced comp…