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ORCIDLuigi Capogrosso
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2020 – today
- 2024
[j2]Luigi Capogrosso
, Federico Cunico, Dong Seon Cheng, Franco Fummi, Marco Cristani:
A Machine Learning-Oriented Survey on Tiny Machine Learning. IEEE Access 12: 23406-23426 (2024)- [j1]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:
Enhancing Safety and Privacy in Industry 4.0: The ICE Laboratory Case Study. IEEE Access 12: 154570-154599 (2024) - [c13]Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty, Franco Fummi, Marco Cristani:
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing. DAC 2024: 261:1-261:6 - [c12]Luigi Capogrosso, Enrico Fraccaroli, Giulio Petrozziello, Francesco Setti, Samarjit Chakraborty, Franco Fummi, Marco Cristani:
Enhancing Split Computing and Early Exit Applications through Predefined Sparsity. FDL 2024: 1-8 - [c11]Luigi Capogrosso, Alvise Vivenza, Andrea Chiarini, Francesco Setti, Marco Cristani:
Exploiting Multimodal Latent Diffusion Models for Accurate Anomaly Detection in Industry 5.0. Ital-IA 2024: 230-235 - [c10]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: 409-416 - [i12]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 abs/2406.00501 (2024) - [i11]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 abs/2407.03961 (2024) - [i10]Luigi Capogrosso, Enrico Fraccaroli, Samarjit Chakraborty, Franco Fummi, Marco Cristani:
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing. CoRR abs/2407.05982 (2024) - [i9]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 abs/2407.11763 (2024) - [i8]Luigi Capogrosso, Andrea Toaiari, Andrea Avogaro, Uzair Khan, Aditya Jivoji, Franco Fummi, Marco Cristani:
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation. CoRR abs/2409.00774 (2024) - 2023
- [c9]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: 1-4 - [c8]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: 1-6 - [c7]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: 39-44 - [c6]Luigi Capogrosso, Luca Geretti, Marco Cristani, Franco Fummi, Tiziano Villa:
HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package. DDECS 2023: 87-90 - [c5]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: 1-4 - [c4]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: 223-232 - [i7]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 abs/2303.12524 (2023) - [i6]Luigi Capogrosso, Luca Geretti, Marco Cristani, Franco Fummi, Tiziano Villa:
HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package. CoRR abs/2305.00039 (2023) - [i5]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 abs/2307.06975 (2023) - [i4]Luigi Capogrosso, Federico Cunico, Dong Seon Cheng, Franco Fummi, Marco Cristani:
A Machine Learning-oriented Survey on Tiny Machine Learning. CoRR abs/2309.11932 (2023) - [i3]Geri Skenderi, Luigi Capogrosso, Andrea Toaiari, Matteo Denitto, Franco Fummi, Simone Melzi, Marco Cristani:
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning. CoRR abs/2310.09278 (2023) - 2022
- [c3]Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco Cristani:
Toward Smart Doors: A Position Paper. ICPR Workshops (2) 2022: 660-673 - [c2]Federico Cunico, Luigi Capogrosso, Francesco Setti, Damiano Carra, Franco Fummi, Marco Cristani:
I-SPLIT: Deep Network Interpretability for Split Computing. ICPR 2022: 2575-2581 - [i2]Federico Cunico, Luigi Capogrosso, Francesco Setti, Damiano Carra, Franco Fummi, Marco Cristani:
I-SPLIT: Deep Network Interpretability for Split Computing. CoRR abs/2209.11607 (2022) - [i1]Luigi Capogrosso, Geri Skenderi, Federico Girella, Franco Fummi, Marco Cristani:
Toward Smart Doors: A Position Paper. CoRR abs/2209.11770 (2022) - 2021
- [c1]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: 1-8
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last updated on 2024-11-13 23:53 CET by the dblp team
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