I'm a Ph.D. student of the National Ph.D. Program in
Artificial Intelligence at the University of Verona
in collaboration with the Polytechnic of Turin in the
Intelligo ML lab 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 currently have the privilege of being a visiting scholar at the
Pattern Recognition and Automatic Learning lab
at Instituto Superior Técnico, headed by
Prof. Mário A. T. Figueiredo.
My research interests cover the broad area of deep learning, and the main topics I'm currently working on can be grouped into the classes of efficient deep learning and representation learning.
MTL-Split: Multi-Task Learning for Edge Devices using Split Computing
L Capogrosso, E Fraccaroli, S Chakraborty, F Fummi, M Cristani
2024, 61st Design Automation Conference (DAC)
[proceedings]
[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]
[arXiv]
Diffusion-based Image Generation for In-distribution Data Augmentation in Surface Defect Detection
L Capogrosso, F Girella, F Taioli, M Dalla Chiara, M Aqeel, F Fummi, F Setti, M Cristani
2024, 19th International Conference on Computer Vision Theory and Applications (VISAPP)
[proceedings]
[code]
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
G Skenderi, L Capogrosso, A Toaiari, M Denitto, F Fummi, S Melzi, M Cristani
2023, Currently under review in Pattern Recognition Letters
[arXiv]
[code]
Split-Et-Impera: A Framework for the Design of Distributed Deep Learning Applications
L Capogrosso, F Cunico, M Lora, M Cristani, F Fummi, D Quaglia
2023, Design and Diagnostics of Electronic Circuits and Systems (DDECS)
[proceedings]
[arXiv]
[code]
Towards Deep Learning-based Occupancy Detection Via WiFi Sensing in Unconstrained Environments
C Turetta, G Skenderi, L Capogrosso, F Demrozi, PH Kindt, A Masrur, F Fummi, M Cristani, G Pravadelli
2023, Design, Automation and Test in Europe Conference (DATE)
[proceedings]
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]
[arXiv]
[code]
Check out all my other publications on Google Scholar!
'22-'24, Pattern Recognition - Elsevier
'23-'24, Internation Journal of Computer Vision - Springer
'23-'24, IEEE Internet of Things Journal - IEEE
'23-'24, Future Generation Computer Systems - Elsevier
'24, Computer Vision and Pattern Recognition Conference (CVPR) - IEEE/CVF
'24, European Conference on Computer Vision (ECCV) - Springer
'23-'24, Design, Automation and Test in Europe Conference (DATE) -- IEEE
AY '23-'24, Systems Design Laboratory (TA)
Master's degree in Computer Engineering for Robotics and Smart Industry at the University of Verona
AY '23-'24, Hardware Components Design on FPGA (TA)
Bachelor's degree in Computer Science at the University of Verona
AY '22-'23, Machine Learning & Artificial Intelligence (TA)
Master's degree in Computer Engineering for Robotics and Smart Industry at the University of Verona
AY '22-'23, Computer Vision & Deep Learning (TA)
Master's degree in Artificial intelligence at the University of Verona
AY '22-'23, Signal and Image Processing (TA)
Bachelor's degree in Computer Science at the University of Verona
AY '20-'21, Network Programming and Security (TA)
Bachelor's degree in Computer Science at the University of Verona
AY '20-'21, Elements of Operating Systems and Networks (TA)
Bachelor's degree in Bioinformatics at the University of Verona
AY '20-'21, Programming I (TA)
Bachelor's degree in Computer Science at the University of Verona
2023, Young Entrepreneur prize at Premio Nazionale per l'Innovazione
2022, Honorable mention at ICCAD 2022 ACM/IEEE TinyML Design Contest
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)
Machine Learning for the Industry 4.0
"AI lessons: how to leverage artificial intelligence to grow your business" 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