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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Showing 2026Show all

10 papers · 1 filter

cs.AI2026

Wyvern: An Agentic Framework for Generating Grounded Multimodal Reports

Beatrice Alessandra Motetti, Emilien Guandalino, Daniele Jahier Pagliari +4

In the current artificial intelligence-driven innovation era, the pace of knowledge growth is accelerating, and is hard to keep up with. While generative models are increasingly us…

cs.LG2026

MAUPITI: On-Device Prototype-Based Learning on a Smart Infrared Sensor

Beatrice Alessandra Motetti, Tanguy Dugas du Villard, Matteo Risso +7

Low-resolution infrared (IR) array sensors represent an interesting solution for privacy-preserving human sensing in embedded systems. In this letter, we describe a smart multi-pix…

cs.RO2026

Before Parc Fermé: RL-Time Pruning for Efficient Embodied LLMs in Autonomous Driving

Luca Benfenati, Ali Azimi, Matteo Risso +3

Embodied Large Language Models (LLMs) are increasingly used as reasoning modules in robotic control pipelines to improve human-robot interaction, but their memory and generation la…

cs.AR2026

Late Breaking Results: CHESSY: Coupled Hybrid Emulation with SystemC-FPGA Synchronization

Lorenzo Ruotolo, Giovanni Pollo, Mohamed Amine Hamdi +7

The growing complexity of cyber-physical systems (CPSs) calls for early prototyping tools that combine accuracy, speed, and usability. Virtual Platforms (VPs) provide fast function…

cs.DC2026

MATCHA: Efficient Deployment of Deep Neural Networks on Multi-Accelerator Heterogeneous Edge SoCs

Enrico Russo, Mohamed Amine Hamdi, Alessandro Ottaviano +6

Deploying DNNs on System-on-Chips (SoC) with multiple heterogeneous acceleration engines is challenging, and the majority of deployment frameworks cannot fully exploit heterogeneit…

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…

eess.SP2026

SilentWear: an Ultra-Low Power Wearable System for EMG-based Silent Speech Recognition

Giusy Spacone, Sebastian Frey, Giovanni Pollo +5

Detecting speech from biosignals is gaining increasing attention due to the potential to develop human-computer interfaces that are noise-robust, privacy-preserving, and scalable f…

eess.AS2026

OnDA: On-device Channel Pruning for Efficient Personalized Keyword Spotting

Matteo Risso, Alessio Burrello, Daniele Jahier Pagliari

Always-on keyword spotting (KWS) demands on-device adaptation to cope with user- and environment-specific distribution shifts under tight latency and energy budgets. This paper pro…

cs.LG2026

Don't be so Stief! Learning KV Cache low-rank approximation over the Stiefel manifold

Luca Benfenati, Matteo Risso, Andrea Vannozzi +5

Key-value (KV) caching enables fast autoregressive decoding but at long contexts becomes a dominant bottleneck in High Bandwidth Memory (HBM) capacity and bandwidth. A common mitig…