Luigi Capogrosso

46 papers A* 2A 3B 1C 7Misc 4Journal 22Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Comprehensive Survey on Deep Learning-based Predictive Maintenance.
ACM Trans. Embed. Comput. Syst.
Uzair Khan, Dong Seon Cheng, Francesco Setti, Franco Fummi, Marco Cristani, Luigi Capogrosso
2026 J jnl
Performance Analysis of Edge and In-Sensor AI Processors: A Comparative Review.
CoRR
Luigi Capogrosso, Pietro Bonazzi, Michele Magno
2026 J jnl
TinyGLASS: Real-Time Self-Supervised In-Sensor Anomaly Detection.
CoRR
Pietro Bonazzi, Rafael Sutter, Luigi Capogrosso, Mischa Buob, Michele Magno
2026 J jnl
TinyML Enhances CubeSat Mission Capabilities.
CoRR
Luigi Capogrosso, Michele Magno
2025 Misc conf
Controllers for Edge-Cloud Cyber-Physical Systems.
COMSNETS
Tingan Zhu, Prateek Ganguli, Arkaprava Gupta, Shengjie Xu, Luigi Capogrosso, Enrico Fraccaroli, Marco Cristani, Franco Fummi, Samarjit Chakraborty
2025 Misc conf
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning.
ICIAP
Geri Skenderi, Luigi Capogrosso, Andrea Toaiari, Matteo Denitto, Franco Fummi, Simone Melzi
2025 A conf
Human-Centered Digital Twin for Industry 5.0.
DATE
Francesco Biondani, Luigi Capogrosso, Nicola Dall'Ora, Enrico Fraccaroli, Marco Cristani, Franco Fummi
2025 Misc conf
KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices.
ICIAP
Uzair Khan, Franco Fummi, Luigi Capogrosso
2025 J jnl
KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices.
CoRR
Uzair Khan, Franco Fummi, Luigi Capogrosso
2025 Misc conf
LO-SC: Local-Only Split Computing for Accurate Deep Learning on Edge Devices.
VLSID
Luigi Capogrosso, Enrico Fraccaroli, Marco Cristani, Franco Fummi, Samarjit Chakraborty
2025 J jnl
New Fashion Products Performance Forecasting: A Survey on Evolutions, Models and Emerging Trends.
CoRR
Andrea Avogaro, Luigi Capogrosso, Andrea Toaiari, Franco Fummi, Marco Cristani
2025 A* conf
Reproducibility Companion Paper: NIF: A Fast Implicit Image Compression with Bottleneck Layers and Modulated Sinusoidal Activations.
ACM Multimedia
Lorenzo Catania, Dario Allegra, Luigi Capogrosso, Thu Nguyen
2024 J jnl
A Machine Learning-Oriented Survey on Tiny Machine Learning.
IEEE Access
Luigi Capogrosso, Federico Cunico, Dong Seon Cheng, Franco Fummi, Marco Cristani
2024 — conf
Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting.
ICPR (8)
Andrea Avogaro, Luigi Capogrosso, Franco Fummi, Marco Cristani
2024 J jnl
Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting.
CoRR
Andrea Avogaro, Luigi Capogrosso, Franco Fummi, Marco Cristani
2024 — conf
Diffusion-Based Image Generation for In-Distribution Data Augmentation in Surface Defect Detection.
VISIGRAPP (2): VISAPP
Luigi Capogrosso, Federico Girella, Francesco Taioli, Michele Dalla Chiara, Muhammad Aqeel, Franco Fummi, Francesco Setti, Marco Cristani
2024 J jnl
Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection.
CoRR
Luigi Capogrosso, Federico Girella, Francesco Taioli, Michele Dalla Chiara, Muhammad Aqeel, Franco Fummi, Francesco Setti, Marco Cristani
2024 J jnl
Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study.
IEEE Access
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
2024 C conf
Enhancing Split Computing and Early Exit Applications through Predefined Sparsity.
FDL
Luigi Capogrosso, Enrico Fraccaroli, Giulio Petrozziello, Francesco Setti, Samarjit Chakraborty, Franco Fummi, Marco Cristani
2024 J jnl
Enhancing Split Computing and Early Exit Applications through Predefined Sparsity.
CoRR
Luigi Capogrosso, Enrico Fraccaroli, Giulio Petrozziello, Francesco Setti, Samarjit Chakraborty, Franco Fummi, Marco Cristani
2024 — conf
Exploiting Multimodal Latent Diffusion Models for Accurate Anomaly Detection in Industry 5.0.
Ital-IA
Luigi Capogrosso, Alvise Vivenza, Andrea Chiarini, Francesco Setti, Marco Cristani
2024 — conf
Learning-Enabled CPS for Edge-Cloud Computing.
SIES
Luigi Capogrosso, Shengjie Xu, Enrico Fraccaroli, Marco Cristani, Franco Fummi, Samarjit Chakraborty
2024 J jnl
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection.
CoRR
Federico Girella, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, Luigi Capogrosso
2024 C conf
Leveraging Latent Diffusion Models for Training-Free in-Distribution Data Augmentation for Surface Defect Detection.
CBMI
Federico Girella, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, Luigi Capogrosso
2024 — conf
MDiFF: Exploiting Multimodal Score-Based Diffusion Models for New Fashion Product Performance Forecasting.
ECCV Workshops (1)
Andrea Avogaro, Luigi Capogrosso, Franco Fummi, Marco Cristani
2024 J jnl
MDiFF: Exploiting Multimodal Score-based Diffusion Models for New Fashion Product Performance Forecasting.
CoRR
Andrea Avogaro, Luigi Capogrosso, Franco Fummi, Marco Cristani
2024 A* conf
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing.
DAC
Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty, Franco Fummi, Marco Cristani
2024 J jnl
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing.
CoRR
Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty, Franco Fummi, Marco Cristani
2024 — conf
SITUATE: Indoor Human Trajectory Prediction Through Geometric Features and Self-supervised Vision Representation.
ICPR (16)
Luigi Capogrosso, Andrea Toaiari, Andrea Avogaro, Uzair Khan, Aditya Jivoji, Franco Fummi, Marco Cristani
2024 J jnl
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation.
CoRR
Luigi Capogrosso, Andrea Toaiari, Andrea Avogaro, Uzair Khan, Aditya Jivoji, Franco Fummi, Marco Cristani
2023 J jnl
A Machine Learning-oriented Survey on Tiny Machine Learning.
CoRR
Luigi Capogrosso, Federico Cunico, Dong Seon Cheng, Franco Fummi, Marco Cristani
2023 C conf
Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification.
NeSy
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
2023 J jnl
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning.
CoRR
Geri Skenderi, Luigi Capogrosso, Andrea Toaiari, Matteo Denitto, Franco Fummi, Simone Melzi, Marco Cristani
2023 C conf
HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package.
DDECS
Luigi Capogrosso, Luca Geretti, Marco Cristani, Franco Fummi, Tiziano Villa
2023 J jnl
HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package.
CoRR
Luigi Capogrosso, Luca Geretti, Marco Cristani, Franco Fummi, Tiziano Villa
2023 C conf
Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper.
FDL
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
2023 J jnl
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0.
CoRR
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
2023 C conf
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications.
DDECS
Luigi Capogrosso, Federico Cunico, Michele Lora, Marco Cristani, Franco Fummi, Davide Quaglia
2023 J jnl
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications.
CoRR
Luigi Capogrosso, Federico Cunico, Michele Lora, Marco Cristani, Franco Fummi, Davide Quaglia
2023 A conf
The Post-pandemic Effects on IoT for Safety: The Safe Place Project.
DATE
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
2023 A conf
Towards Deep Learning-based Occupancy Detection Via WiFi Sensing in Unconstrained Environments.
DATE
Cristian Turetta, Geri Skenderi, Luigi Capogrosso, Florenc Demrozi, Philipp H. Kindt, Alejandro Masrur, Franco Fummi, Marco Cristani, Graziano Pravadelli
2022 B conf
I-SPLIT: Deep Network Interpretability for Split Computing.
ICPR
Federico Cunico, Luigi Capogrosso, Francesco Setti, Damiano Carra, Franco Fummi, Marco Cristani
2022 J jnl
I-SPLIT: Deep Network Interpretability for Split Computing.
CoRR
Federico Cunico, Luigi Capogrosso, Francesco Setti, Damiano Carra, Franco Fummi, Marco Cristani
2022 — conf
Toward Smart Doors: A Position Paper.
ICPR Workshops (2)
Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco Cristani
2022 J jnl
Toward Smart Doors: A Position Paper.
CoRR
Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco Cristani
2021 C conf
DOHMO: Embedded Computer Vision in Co-Housing Scenarios.
FDL
Geri Skenderi, Alessia Bozzini, Luigi Capogrosso, Enrico Carlo Agrillo, Giovanni Perbellini, Franco Fummi, Marco Cristani