I did my Ph.D. in Artificial Intelligence at the
Polytechnic of Turin in collaboration with the
University of Verona under the supervision of Prof. Marco Cristani
and Prof. Franco Fummi.
I received my B.Sc. (2019) and M.Sc. (2021) at the University of Verona
in Computer Science and Computer Engineering for Robotics and Smart Industry, respectively.
I had the privilege of being a visiting scholar at the
Instituto Superior Técnico, working with
Prof. Mário A. T. Figueiredo.
My research interests cover the broad area of deep learning, and the main topics I am currently working on can be grouped into the classes of deep learning-enabled cyber-physical systems and representation learning.
I am an Istituto Nazionale di Alta Matematica member within the Gruppo Nazionale per il Calcolo Scientifico (GNCS). I am also an IEEE and Computer Vision Foundation (CVF) member.
KairosAD: A SAM-Based Model for Industrial Anomaly Detection on Embedded Devices
U Khan, F Fummi, L Capogrosso
2025, International Conference on Image Analysis and Processing (ICIAP)
[proceedings]
[open access]
[code]
[website]
A Comprehensive Survey on Deep Learning-based Predictive Maintenance
U Khan, D Cheng, F Setti, F Fummi, M Cristani, L Capogrosso
2025, ACM Transactions on Embedded Computing Systems
[proceedings]
LO-SC: Local-only Split Computing for Accurate Deep Learning on Edge Devices
L Capogrosso, E Fraccaroli, M Cristani, F Fummi, S Chakraborty
2025, International Conference on VLSI Design (VLSID)
[proceedings]
[open access]
[code]
[website]
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection
F Girella, Z Liu, F Fummi, F Setti, M Cristani, L Capogrosso
2024, International Conference on Content-Based Multimedia Indexing (CBMI)
[proceedings]
[open access]
[code]
[website]
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing
L Capogrosso, E Fraccaroli, S Chakraborty, F Fummi, M Cristani
2024, Design Automation Conference (DAC)
[proceedings]
[open access]
[code]
[website]
A Machine Learning-oriented Survey on Tiny Machine Learning
L Capogrosso, F Cunico, DS Cheng, F Fummi, M Cristani
2024, IEEE Access
[proceedings]
[open access]
HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package
L Capogrosso, L Geretti, M Cristani, F Fummi, T Villa
2023, Design and Diagnostics of Electronic Circuits and Systems (DDECS)
[proceedings]
[open access]
[code]
[website]
I-SPLIT: Deep Network Interpretability for Split Computing
F Cunico, L Capogrosso, F Setti, D Carra, F Fummi, M Cristani
2022, International Conference on Pattern Recognition (ICPR)
[proceedings]
[open access]
[code]
[website]
Check out all my other publications on Google Scholar!
2023 - Now, International Journal of Computer Vision - Springer Netherlands
2023 - Now, IEEE Internet of Things Journal - IEEE Inc.
2023 - Now, Future Generation Computer Systems - Elsevier B.V.
2022 - Now, Pattern Recognition - Elsevier Ltd
2024 - Now, Computer Vision and Pattern Recognition Conference (CVPR) - CVF/IEEE Inc.
2023 - Now, International Conference on Learning Representations (ICLR) - OpenReview
2024, European Conference on Computer Vision (ECCV) - Springer
2023 - Now, Design, Automation and Test in Europe Conference (DATE) -- IEEE Inc.
2025, Outstanding Reviewer at the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)
2022, Honorable Mention at the ACM/IEEE ICCAD TinyML Design Contest
2016 - 2021, Academic Student Excellence Grant at the University of Verona
2025, Area Chair at the 23rd International Conference on Image Analysis and Processing (ICIAP)
2025, Publicity Chair at the 3rd International Conference on Frontiers of Artificial Intelligence (FAIEMA)
Program Committee at the:
AY 2024 - 2025, Topics on Computer Architecture and Operating Systems (TA)
Bachelor's degree in Computer Science at the University of Verona
AY 2023 - 2025, Hardware Components Design on FPGA (TA)
Bachelor's degree in Computer Science at the University of Verona
AY 2023 - 2024, Systems Design Laboratory (TA)
Master's degree in Computer Engineering for Robotics and Smart Industry at the University of Verona
AY 2022 - 2023, Machine Learning & Artificial Intelligence (TA)
Master's degree in Computer Engineering for Robotics and Smart Industry at the University of Verona
AY 2022 - 2023, Computer Vision & Deep Learning (TA)
Master's degree in Artificial intelligence at the University of Verona
AY 2022 - 2023, Signal and Image Processing (TA)
Bachelor's degree in Computer Science at the University of Verona
AY 2020 - 2021, Network Programming and Security (TA)
Bachelor's degree in Computer Science at the University of Verona
AY 2020 - 2021, Topics of Operating Systems and Networks (TA)
Bachelor's degree in Bioinformatics at the University of Verona
AY 2020 - 2021, Programming I (TA)
Bachelor's degree in Computer Science at the University of Verona
A Machine Learning-oriented overview on Tiny Machine Learning: Theory, Methods and Applications
"Workshop on Machine Learning on Low-Power Devices: Applications and Advanced Topics"
2024, International Centre for Theoretical Physics (ICTP)
Enabling Machine Learning Systems in Industry 4.0
"How to Leverage Artificial Intelligence to Grow Your Business: The Humatics SYS-DAT Group Workshop"
2023, Department of Computer Science of the University of Verona
TinyML: How to Fit Heavy Networks Almost Everywhere
"A Holistic Approach to Computer Engineering for Industry 4.0 Workshop"
2023, Department of Engineering for Innovation Medicine of the University of Verona
University of Verona
luigi [dot] capogrosso [at] univr [dot] it
Str. le Grazie, 15, 37134 Verona VR
Polytechnic of Turin
luigi [dot] capogrosso [at] polito [dot] it