Luigi Capogrosso
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
12
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | 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 |
| 2025 | COMSNETS | 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 |
| 2025 | DATE | Human-Centered Digital Twin for Industry 5.0. | Francesco Biondani, Luigi Capogrosso, Nicola Dall'Ora, Enrico Fraccaroli, Marco Cristani, Franco Fummi |
| 2025 | ICIAP | KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices. | Uzair Khan, Franco Fummi, Luigi Capogrosso |
| 2025 | ICIAP | Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning. | Geri Skenderi, Luigi Capogrosso, Andrea Toaiari, Matteo Denitto, Franco Fummi, Simone Melzi |
| 2025 | VLSID | LO-SC: Local-Only Split Computing for Accurate Deep Learning on Edge Devices. | Luigi Capogrosso, Enrico Fraccaroli, Marco Cristani, Franco Fummi, Samarjit Chakraborty |
| 2024 | CBMI | 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 |
| 2024 | DAC | MTL-Split: Multi-Task Learning for Edge Devices using Split Computing. | Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty, Franco Fummi, Marco Cristani |
| 2024 | ECCV | MDiFF: Exploiting Multimodal Score-Based Diffusion Models for New Fashion Product Performance Forecasting. | Andrea Avogaro, Luigi Capogrosso, Franco Fummi, Marco Cristani |
| 2024 | FDL | Enhancing Split Computing and Early Exit Applications through Predefined Sparsity. | Luigi Capogrosso, Enrico Fraccaroli, Giulio Petrozziello, Francesco Setti, Samarjit Chakraborty, Franco Fummi, Marco Cristani |
| 2024 | ICPR | Dif4FF: Leveraging Multimodal Diffusion Models and Graph Neural Networks for Accurate New Fashion Product Performance Forecasting. | Andrea Avogaro, Luigi Capogrosso, Franco Fummi, Marco Cristani |
| 2024 | ICPR | 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 |
| 2024 | VISIGRAPP | 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 |
| 2023 | DATE | 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 |
| 2023 | DATE | 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 |
| 2023 | DDECS | 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 |
| 2023 | DDECS | HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package. | Luigi Capogrosso, Luca Geretti, Marco Cristani, Franco Fummi, Tiziano Villa |
| 2023 | FDL | 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 |
| 2023 | NeSy | 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 |
| 2022 | ICPR | Toward Smart Doors: A Position Paper. | Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco Cristani |
| 2022 | ICPR | I-SPLIT: Deep Network Interpretability for Split Computing. | Federico Cunico, Luigi Capogrosso, Francesco Setti, Damiano Carra, Franco Fummi, Marco Cristani |
| 2021 | FDL | DOHMO: Embedded Computer Vision in Co-Housing Scenarios. | Geri Skenderi, Alessia Bozzini, Luigi Capogrosso, Enrico Carlo Agrillo, Giovanni Perbellini, Franco Fummi, Marco Cristani |