| CARVIEW |
Luca Bartolomei
PhD Candidate EIT4SEMM - UNIBO
Education
PhD Student - Engineering and Information Technology for Structural and Environmental Monitoring and Risk Management - EIT4SEMM
Alma Mater Studiorum - Università di Bologna Scuola di Ingegneria e Architettura
Master's Degree cum Laude - Computer Engineering
Alma Mater Studiorum - Università di Bologna Scuola di Ingegneria e Architettura
Bachelor's Degree cum Laude - Computer Engineering
Alma Mater Studiorum - Università di Bologna Scuola di Ingegneria e Architettura
High School's Degree in Computer Science and Telecommunications, specialization in Computer Science.
Istituto di Istruzione Superiore “O.Belluzzi – Fioravanti”
Spoken Languages
- Italian (Native)
- English (B2)
Hobbies
- Road Cycling
- Mountain Bike
- Light Boxing
- On-line scientific magazine/videos reading
Bio
Luca Bartolomei, a 27 years old PhD candidate at the University of Bologna, is passionate about computer science, with an interest in computer vision and machine learning. In particular, he is delving into the field of guided stereo matching, a branch of depth estimation that fuses different kinds of depth sensors. Meanwhile, he also worked as an educational tutor for the courses of Foundations of Informatics and Logic Circuits at the Department of Industrial Engineering and the Department of Electrical Engineering. When he was six years old, he assembled his first PC and became fascinated by computers, and started acquiring experience with general computer usage. When he was thirteen years old, he first approached computer programming and decided to study computer science. During high school, he started to get interested in the field of computer vision and machine learning. In particular, his final school project was about a neural network that could classify images and receive feedback from users to improve itself. He delved into this field during his bachelor’s and master’s degrees in computer engineering, both earned with honours respectively in 2020 and 2022 from the University of Bologna. The former was earned by presenting an experimental thesis on an occlusion-aware augmented reality (AR) application, integrating cutting-edge embedded monocular depth estimation technologies. The latter was achieved through the presentation of an innovative thesis in the realm of depth estimation, focusing on a novel guided matching strategy. Currently enrolled in the EIT4SEMM doctoral program, Luca aspires to become a researcher in the field of depth estimation. He is actively expanding his research skills with the help of his supervisor and colleagues at CVLab in Bologna. After two years, Luca has demonstrated his commitment to research through the publication of papers at international conferences such as CVPR, ICCV, ECCV, and 3DV. His passion for his work and his ambitions contribute to his success.
Work Experience
Reviewer
88146 - First cycle degree programme (L) in Mechatronics
Publications
- Bartolomei, L., Mannocci, E., Tosi, F., Poggi, M., & Mattoccia, S. (2025). Depth AnyEvent: A Cross-Modal Distillation Paradigm for Event-Based Monocular Depth Estimation. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).
- Bartolomei, L., Poggi, M., Tosi, F., Conti, A., & Mattoccia, S. (2025). Active Stereo in the Wild through Virtual Pattern Projection. IJCV. https://doi.org/10.1007/s11263-025-02511-6
- Bartolomei, L., Tosi, F., Poggi, M., & Mattoccia, S. (2025). Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR).
- Tosi, F., Bartolomei, L., & Poggi, M. (2025). A Survey on Deep Stereo Matching in the Twenties. IJCV. https://doi.org/10.1007/s11263-024-02331-0
- Bartolomei, L., Poggi, M., Conti, A., & Mattoccia, S. (2024). LiDAR-Event Stereo Fusion with Hallucinations. In the 18th European Conference on Computer Vision (ECCV).
- Bartolomei, L., Poggi, M., Conti, A., Tosi, F., & Mattoccia, S. (2024). Revisiting Depth Completion from a Stereo Matching Perspective for Cross-domain Generalization. In 2024 International Conference on 3D Vision (3DV) IEEE.
- Bartolomei, L., Poggi, M., Tosi, F., Conti, A., & Mattoccia, S. (2023). Active stereo without pattern projector. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 18470-18482).
- Aleotti, F., Zaccaroni, G., Bartolomei, L., Poggi, M., Tosi, F., & Mattoccia, S. Real-Time Single Image Depth Perception in the Wild with Handheld Devices. Sensors. 2021; 21(1):15.https://doi.org/10.3390/s21010015
Education
PhD Student - EIT4SEMM
Engineering and Information Technology for Structural and Environmental Monitoring and Risk Management
Master's Degree - Computer Engineering
Class n. LM-32 Computer systems engineering
Date (dd/mm/yyyy): 06/10/2022
Grade: 110/110 cum Laude
Bachelor's Degree - Computer Engineering
Class n. L-8 Information technology engineering
Date (dd/mm/yyyy): 22/07/2020
Grade: 110/110 cum Laude
Curricular Intership
Assigment: developement of a Augmented Reality app aware of occlusions using monocular depth estimation
Youth Merit Award
Awarded for the commitment shown and the profit achieved throughout the course of studies.
High School's Degree in Computer Science
Degree in Computer Science and Telecommunications, specialization in Computer Science.
Date (yy/mm/yyyy): 04/07/2017
Grade: 100/100
Berliz Certificate
Grade: “6 General English” (B1.2)
Certificate of Merit
Awarded for achieving a good GPA in the academic year 2014/2015
“Italian Scratch Festival” Finalist
Awarded for having been selected among the finalists of the "Italian Scratch Festival" competition organized by the Dschola Association in collaboration with the Department of Computer Science of the University of Turin and CSP innovation in ICT.