Beatrice Alessandra Motetti

12 papers A 1C 2Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
BlankSkip: Early-exit Object Detection onboard Nano-drones.
CoRR
Carlo Marra, Beatrice Alessandra Motetti, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2025 C conf
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data.
IPAS
Matteo Risso, Alessia Goffi, Beatrice Alessandra Motetti, Alessio Burrello, Jean Baptiste Bove, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Giuseppe Maffeis
2024 A conf
Adaptive Deep Learning for Efficient Visual Pose Estimation Aboard Ultra-Low-Power Nano-Drones.
DATE
Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello
2024 J jnl
Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones.
CoRR
Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi, Matteo Risso, Daniele Jahier Pagliari, Daniele Palossi, Alessio Burrello
2024 J jnl
Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data.
CoRR
Matteo Risso, Alessia Goffi, Beatrice Alessandra Motetti, Alessio Burrello, Jean Baptiste Bove, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari, Giuseppe Maffeis
2024 J jnl
Enhancing Neural Architecture Search With Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices.
IEEE Trans. Emerg. Top. Comput.
Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari
2024 J jnl
Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks.
CoRR
Beatrice Alessandra Motetti, Matteo Risso, Alessio Burrello, Enrico Macii, Massimo Poncino, Daniele Jahier Pagliari
2024 — conf
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones.
ERF (1)
Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
2024 J jnl
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones.
CoRR
Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti, Daniele Jahier Pagliari, Enrico Macii, Massimo Poncino, Alessio Burrello
2023 J jnl
Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices.
CoRR
Alessio Burrello, Matteo Risso, Beatrice Alessandra Motetti, Enrico Macii, Luca Benini, Daniele Jahier Pagliari
2023 C conf
PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization.
FDL
Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello
2023 J jnl
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization.
CoRR
Daniele Jahier Pagliari, Matteo Risso, Beatrice Alessandra Motetti, Alessio Burrello