activity
20222026
most citedHuman Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks

52 citations · 285 across the 59 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

BlankSkip: Early-exit Object Detection onboard Nano-drones

Carlo Marra, Beatrice Alessandra Motetti, Alessio Burrello +3

Deploying tiny computer vision Deep Neural Networks (DNNs) on-board nano-sized drones is key for achieving autonomy, but is complicated by the extremely tight constraints of their…

cs.CV2026

Improving Continual Learning for Gaussian Splatting based Environments Reconstruction on Commercial Off-the-Shelf Edge Devices

Ivan Zaino, Matteo Risso, Daniele Jahier Pagliari +3

Novel view synthesis (NVS) is increasingly relevant for edge robotics, where compact and incrementally updatable 3D scene models are needed for SLAM, navigation, and inspection und…

cs.CV2024★ 1 cited

Building Damage Assessment in Conflict Zones: A Deep Learning Approach Using Geospatial Sub-Meter Resolution Data

Matteo Risso, Alessia Goffi, Beatrice Alessandra Motetti +6

Very High Resolution (VHR) geospatial image analysis is crucial for humanitarian assistance in both natural and anthropogenic crises, as it allows to rapidly identify the most crit…

cs.CV2024

Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones

Matteo Risso, Francesco Daghero, Beatrice Alessandra Motetti +4

Miniaturized autonomous unmanned aerial vehicles (UAVs) are gaining popularity due to their small size, enabling new tasks such as indoor navigation or people monitoring. Nonethele…

cs.CV2024★ 1 cited

Adaptive Deep Learning for Efficient Visual Pose Estimation aboard Ultra-low-power Nano-drones

Beatrice Alessandra Motetti, Luca Crupi, Mustafa Omer Mohammed Elamin Elshaigi +4

Sub-10cm diameter nano-drones are gaining momentum thanks to their applicability in scenarios prevented to bigger flying drones, such as in narrow environments and close to humans.…

cs.CV2023★ 21 cited

Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays

Chen Xie, Francesco Daghero, Yukai Chen +6

Ultra-low-resolution Infrared (IR) array sensors offer a low-cost, energy-efficient, and privacy-preserving solution for people counting, with applications such as occupancy monito…