Luigi Capogrosso

According to our database, Luigi Capogrosso authored at least 34 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Comprehensive Survey on Deep Learning-based Predictive Maintenance.

Uzair Khan, Dong Seon Cheng, Francesco Setti, Franco Fummi, Marco Cristani, Luigi Capogrosso

ACM Trans. Embed. Comput. Syst., March, 2026

TinyML Enhances CubeSat Mission Capabilities.

Luigi Capogrosso, Michele Magno

CoRR, March, 2026

TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection.

Pietro Bonazzi, Rafael Sutter, Luigi Capogrosso, Mischa Buob, Michele Magno

CoRR, March, 2026

Performance Analysis of Edge and In-Sensor AI Processors: A Comparative Review.

Luigi Capogrosso, Pietro Bonazzi, Michele Magno

CoRR, March, 2026

Agentic AI for Digital Wellness: Challenges and Architectural Perspectives for Smart Home Care.

Luigi Capogrosso, Francesco Biondani, Francesca Bigardi, Stefano Cordibella, Giovanni Perbellini, Walter Vendraminetto, Franco Fummi

Proceedings of the Design, Automation & Test in Europe Conference, 2026

2025

New Fashion Products Performance Forecasting: A Survey on Evolutions, Models and Emerging Trends.

Andrea Avogaro, Luigi Capogrosso, Andrea Toaiari, Franco Fummi, Marco Cristani

CoRR, January, 2025

LO-SC: Local-Only Split Computing for Accurate Deep Learning on Edge Devices.

Luigi Capogrosso, Enrico Fraccaroli, Marco Cristani, Franco Fummi, Samarjit Chakraborty

Proceedings of the 38th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems, 2025

Reproducibility Companion Paper: NIF: A Fast Implicit Image Compression with Bottleneck Layers and Modulated Sinusoidal Activations.

Lorenzo Catania, Dario Allegra, Luigi Capogrosso, Thu Nguyen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning.

Geri Skenderi, Luigi Capogrosso, Andrea Toaiari, Matteo Denitto, Franco Fummi, Simone Melzi

Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices.

Uzair Khan, Franco Fummi, Luigi Capogrosso

Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

Human-Centered Digital Twin for Industry 5.0.

Francesco Biondani, Luigi Capogrosso, Nicola Dall'Ora, Enrico Fraccaroli, Marco Cristani, Franco Fummi

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Controllers for Edge-Cloud Cyber-Physical Systems.

Tingan Zhu, Prateek Ganguli, Arkaprava Gupta, Shengjie Xu, Luigi Capogrosso, Enrico Fraccaroli, Marco Cristani, Franco Fummi, Samarjit Chakraborty

Proceedings of the 17th International Conference on COMmunication Systems and NETworks, 2025

2024

Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study.

Federico Cunico, Stefano Aldegheri, Andrea Avogaro, Michele Boldo, Nicola Bombieri, Luigi Capogrosso, Ariel Caputo, Damiano Carra, Stefano Centomo, Dong Seon Cheng, Ettore Cinquetti, Marco Cristani, Mirco De Marchi, Florenc Demrozi, Marco Emporio, Franco Fummi, Luca Geretti, Samuele Germiniani, Andrea Giachetti, Federico Girella, Enrico Martini, Gloria Menegaz, Niek Muijs, Federica Paci, Marco Panato, Graziano Pravadelli, Elisa Quintarelli, Ilaria Siviero, Silvia Francesca Storti, Carlo Tadiello, Cristian Turetta, Tiziano Villa, Nicola Zannone, Davide Quaglia

IEEE Access, 2024

A Machine Learning-Oriented Survey on Tiny Machine Learning.

Luigi Capogrosso, Federico Cunico, Dong Seon Cheng, Franco Fummi, Marco Cristani

IEEE Access, 2024

Diffusion-Based Image Generation for In-Distribution Data Augmentation in Surface Defect Detection.

Luigi Capogrosso, Federico Girella, Francesco Taioli, Michele Dalla Chiara, Muhammad Aqeel, Franco Fummi, Francesco Setti, Marco Cristani

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Learning-Enabled CPS for Edge-Cloud Computing.

Luigi Capogrosso, Shengjie Xu, Enrico Fraccaroli, Marco Cristani, Franco Fummi, Samarjit Chakraborty

Proceedings of the 14th IEEE International Symposium on Industrial Embedded Systems, 2024

Exploiting Multimodal Latent Diffusion Models for Accurate Anomaly Detection in Industry 5.0.

Luigi Capogrosso, Alvise Vivenza, Andrea Chiarini, Francesco Setti, Marco Cristani

Proceedings of the Ital-IA Intelligenza Artificiale, 2024

SITUATE: Indoor Human Trajectory Prediction Through Geometric Features and Self-supervised Vision Representation.

Luigi Capogrosso, Andrea Toaiari, Andrea Avogaro, Uzair Khan, Aditya Jivoji, Franco Fummi, Marco Cristani

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting.

Andrea Avogaro, Luigi Capogrosso, Franco Fummi, Marco Cristani

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Enhancing Split Computing and Early Exit Applications through Predefined Sparsity.

Luigi Capogrosso, Enrico Fraccaroli, Giulio Petrozziello, Francesco Setti, Samarjit Chakraborty, Franco Fummi, Marco Cristani

Proceedings of the Forum on Specification & Design Languages, 2024

MDiFF: Exploiting Multimodal Score-Based Diffusion Models for New Fashion Product Performance Forecasting.

Andrea Avogaro, Luigi Capogrosso, Franco Fummi, Marco Cristani

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

MTL-Split: Multi-Task Learning for Edge Devices using Split Computing.

Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty, Franco Fummi, Marco Cristani

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Leveraging Latent Diffusion Models for Training-Free in-Distribution Data Augmentation for Surface Defect Detection.

Federico Girella, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, Luigi Capogrosso

Proceedings of the 21st International Conference on Content-Based Multimedia Indexing, 2024

2023

Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning.

Geri Skenderi, Luigi Capogrosso, Andrea Toaiari, Matteo Denitto, Franco Fummi, Simone Melzi, Marco Cristani

CoRR, 2023

Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0.

Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani

CoRR, 2023

Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification.

Lia Morra, Alberto Azzari, Letizia Bergamasco, Marco Braga, Luigi Capogrosso, Federico Delrio, Giuseppe Di Giacomo, Simone Eiraudo, Giorgia Ghione, Rocco Giudice, Alkis Koudounas, Luca Piano, Daniele Rege Cambrin, Matteo Risso, Marco Rondina, Alessandro Sebastian Russo, Marco Russo, Francesco Taioli, Lorenzo Vaiani, Chiara Vercellino

Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023

Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper.

Luigi Capogrosso, Alessio Mascolini, Federico Girella, Geri Skenderi, Sebastiano Gaiardelli, Nicola Dall'Ora, Francesco Ponzio, Enrico Fraccaroli, Santa Di Cataldo, Sara Vinco, Enrico Macii, Franco Fummi, Marco Cristani

Proceedings of the Forum on Specification & Design Languages, 2023

HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package.

Luigi Capogrosso, Luca Geretti, Marco Cristani, Franco Fummi, Tiziano Villa

Proceedings of the 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2023

Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications.

Luigi Capogrosso, Federico Cunico, Michele Lora, Marco Cristani, Franco Fummi, Davide Quaglia

Proceedings of the 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2023

Towards Deep Learning-based Occupancy Detection Via WiFi Sensing in Unconstrained Environments.

Cristian Turetta, Geri Skenderi, Luigi Capogrosso, Florenc Demrozi, Philipp H. Kindt, Alejandro Masrur, Franco Fummi, Marco Cristani, Graziano Pravadelli

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

The Post-pandemic Effects on IoT for Safety: The Safe Place Project.

Federico Cunico, Luigi Capogrosso, Alberto Castellini, Francesco Setti, Patrik Pluchino, Filippo Zordan, Valeria Santus, Anna Spagnolli, Stefano Cordibella, Giambattista Gennari, Mauro Borgo, Alberto Sozza, Stefano Troiano, Roberto Flor, Andrea Zanella, Alessandro Farinelli, Luciano Gamberini, Marco Cristani

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022

I-SPLIT: Deep Network Interpretability for Split Computing.

Federico Cunico, Luigi Capogrosso, Francesco Setti, Damiano Carra, Franco Fummi, Marco Cristani

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Toward Smart Doors: A Position Paper.

Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco Cristani

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021

DOHMO: Embedded Computer Vision in Co-Housing Scenarios.

Geri Skenderi, Alessia Bozzini, Luigi Capogrosso, Enrico Carlo Agrillo, Giovanni Perbellini, Franco Fummi, Marco Cristani

Proceedings of the 24th Forum on specification & Design Languages, 2021