57 citations
- HES-SO University of Applied Sciences and Arts Western SwitzerlandCH6 papers
- ETH ZurichCH5 papers
- Haute Ecole Arc IngénierieCH4 papers
- Integrated Systems LaboratoryCH4 papers
- University of NeuchâtelCH3 papers
- ARM (United Kingdom)GB1 paper
- Dublin City UniversityIE1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- FHNW University of Applied Sciences and Arts Northwestern SwitzerlandCH1 paper
- Indian Institute of Technology KanpurIN1 paper
- KTH Royal Institute of TechnologySE1 paper
- Laboratoire d'Informatique de GrenobleFR1 paper
Showing 2020Show all
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cs.CV2020★ 9 cited
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado, Manuele Rusci, Romain Donze +4
Standard-size autonomous navigation vehicles have rapidly improved thanks to the breakthroughs of deep learning. However, scaling autonomous driving to low-power systems deployed o…
cs.LG2020★ 11 cited
Automated Design Space Exploration for optimised Deployment of DNN on Arm Cortex-A CPUs
Miguel de Prado, Andrew Mundy, Rabia Saeed +3
The spread of deep learning on embedded devices has prompted the development of numerous methods to optimise the deployment of deep neural networks (DNN). Works have mainly focused…