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 cs.CVShow 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.CV2018★ 11 cited
Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems
Miguel de Prado, Nuria Pazos, Luca Benini
Deep Learning is increasingly being adopted by industry for computer vision applications running on embedded devices. While Convolutional Neural Networks' accuracy has achieved a m…