I am a Ph.D. candidate 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 had 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 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.
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]
SITUATE: Indoor Human Trajectory Prediction through Geometric Features and Self-Supervised Vision Representation
L Capogrosso, A Toaiari, A Avogaro, U Khan, A Jivoji, F Fummi, M Cristani
2024, International Conference on Pattern Recognition (ICPR)
[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]
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, International Conference on Computer Vision Theory and Applications (VISAPP)
[proceedings]
[open access]
[code]
[website]
Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning
G Skenderi, L Capogrosso, A Toaiari, M Denitto, F Fummi, S Melzi, M Cristani
2024, Currently under review
[proceedings]
[open access]
[code]
[website]
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]
[open access]
[code]
[website]
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.
2023, Young Entrepreneur Prize at the Premio Nazionale per l'Innovazione
2022, Honorable Mention at the ICCAD 2022 ACM/IEEE 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)
2024, Program Committee at the 2nd Unifying Representations in Neural Models Workshop (UniReps) at NeurIPS
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