16 citations · 20 across the 3 of their papers we have counts for
3 papers
Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications
Vivek Parmar, Syed Shakib Sarwar, Ziyun Li +3
Low-Power Edge-AI capabilities are essential for on-device extended reality (XR) applications to support the vision of Metaverse. In this work, we investigate two representative XR…
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
Xin Dong, Barbara De Salvo, Meng Li +4
We design deep neural networks (DNNs) and corresponding networks' splittings to distribute DNNs' workload to camera sensors and a centralized aggregator on head mounted devices to…
Power-of-Two Quantization for Low Bitwidth and Hardware Compliant Neural Networks
Dominika Przewlocka-Rus, Syed Shakib Sarwar, H. Ekin Sumbul +2
Deploying Deep Neural Networks in low-power embedded devices for real time-constrained applications requires optimization of memory and computational complexity of the networks, us…