Bio
Luca Bartolomei, a 26 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 at 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 about 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 degree 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 year, Luca has demonstrated his commitment to research through the publication of papers at international conferences such as ICCV, ECCV, and 3DV. His passion for his work and his ambitions contribute to his success.
Work Experience
- NIPS 2024 (5 papers)
- CVPR 2024 (1 paper)
- The Visual Computer (2 papers)
- Analog Integrated Circuits and Signal Processing (1 paper)
88146 - First cycle degree programme (L) in Mechatronics
28004 - First cycle degree programme (L) in Engineering Management
Publications
- 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 2024.
- 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 (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
Engineering and Information Technology for Structural and Environmental Monitoring and Risk Management
Class n. LM-32 Computer systems engineering
Date (dd/mm/yyyy): 06/10/2022
Grade: 110/110 cum Laude
Class n. L-8 Information technology engineering
Date (dd/mm/yyyy): 22/07/2020
Grade: 110/110 cum Laude
Assigment: developement of a Augmented Reality app aware of occlusions using monocular depth estimation
Awarded for the commitment shown and the profit achieved throughout the course of studies.
Degree in Computer Science and Telecommunications, specialization in Computer Science.
Date (yy/mm/yyyy): 04/07/2017
Grade: 100/100
Grade: “6 General English” (B1.2)
Awarded for achieving a good GPA in the academic year 2014/2015
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.