Luigi Capogrosso

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

Defect Detection

Dirichlet Process

Top Venues

Publications

Federico Girella, Ziyue Liu, Franco Fummi, Francesco Setti, Marco Cristani, Luigi Capogrosso
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection. CoRR (2024)
Luigi Capogrosso, Federico Cunico, Dong Seon Cheng, Franco Fummi, Marco Cristani
A Machine Learning-Oriented Survey on Tiny Machine Learning. IEEE Access 12 (2024)
Luigi Capogrosso, Federico Girella, Francesco Taioli, Michele Dalla Chiara, Muhammad Aqeel, Franco Fummi, Francesco Setti, Marco Cristani
Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection. CoRR (2024)
Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty, Franco Fummi, Marco Cristani
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing. CoRR (2024)
Luigi Capogrosso, Federico Girella, Francesco Taioli, Michele Dalla Chiara, Muhammad Aqeel, Franco Fummi, Francesco Setti, Marco Cristani
Diffusion-Based Image Generation for In-Distribution Data Augmentation in Surface Defect Detection. VISIGRAPP (2): VISAPP (2024)
Luigi Capogrosso, Enrico Fraccaroli, Giulio Petrozziello, Francesco Setti, Samarjit Chakraborty, Franco Fummi, Marco Cristani
Enhancing Split Computing and Early Exit Applications through Predefined Sparsity. CoRR (2024)
Geri Skenderi, Luigi Capogrosso, Andrea Toaiari, Matteo Denitto, Franco Fummi, Simone Melzi, Marco Cristani
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning. CoRR (2023)
Luigi Capogrosso, Federico Cunico, Dong Seon Cheng, Franco Fummi, Marco Cristani
A Machine Learning-oriented Survey on Tiny Machine Learning. CoRR (2023)
Luigi Capogrosso, Luca Geretti, Marco Cristani, Franco Fummi, Tiziano Villa
HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package. CoRR (2023)
Luigi Capogrosso, Federico Cunico, Michele Lora, Marco Cristani, Franco Fummi, Davide Quaglia
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications. CoRR (2023)
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
Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0. CoRR (2023)
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
The Post-pandemic Effects on IoT for Safety: The Safe Place Project. DATE (2023)
Luigi Capogrosso, Luca Geretti, Marco Cristani, Franco Fummi, Tiziano Villa
HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package. DDECS (2023)
Cristian Turetta, Geri Skenderi, Luigi Capogrosso, Florenc Demrozi, Philipp H. Kindt, Alejandro Masrur, Franco Fummi, Marco Cristani, Graziano Pravadelli
Towards Deep Learning-based Occupancy Detection Via WiFi Sensing in Unconstrained Environments. DATE (2023)
Luigi Capogrosso, Federico Cunico, Michele Lora, Marco Cristani, Franco Fummi, Davide Quaglia
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications. DDECS (2023)
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
Neuro-Symbolic Empowered Denoising Diffusion Probabilistic Models for Real-Time Anomaly Detection in Industry 4.0: Wild-and-Crazy-Idea Paper. FDL (2023)
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
Designing Logic Tensor Networks for Visual Sudoku Puzzle Classification. NeSy (2023)
Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco Cristani
Toward Smart Doors: A Position Paper. ICPR Workshops (2) (2022)
Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco Cristani
Toward Smart Doors: A Position Paper. CoRR (2022)
Federico Cunico, Luigi Capogrosso, Francesco Setti, Damiano Carra, Franco Fummi, Marco Cristani
I-SPLIT: Deep Network Interpretability for Split Computing. ICPR (2022)
Federico Cunico, Luigi Capogrosso, Francesco Setti, Damiano Carra, Franco Fummi, Marco Cristani
I-SPLIT: Deep Network Interpretability for Split Computing. CoRR (2022)
Geri Skenderi, Alessia Bozzini, Luigi Capogrosso, Enrico Carlo Agrillo, Giovanni Perbellini, Franco Fummi, Marco Cristani
DOHMO: Embedded Computer Vision in Co-Housing Scenarios. FDL (2021)