Fabio Tosi

Fabio Tosi

Post-doctoral Researcher @ University of Bologna

Fabio Tosi, PhD

I am currently a Junior Assistant Professor (RTDA) at the Department of Computer Science and Engineering (DISI) at the University of Bologna. I teach the Master’s course “Accelerated Computing Systems” (formerly “Digital Systems M – Module 2”) in the Computer Engineering program, focusing on CUDA programming. Previously, I was an Adjunct Professor for the course “Fundamentals of Computer Science” in the Mechatronics program at the Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi”.

My research interests include computer vision and machine learning, with a particular emphasis on 3D reconstruction from images.

Since 2024, I serve as Associate Editor for the journal Pattern Recognition (Elsevier), and I am also involved in major conferences such as IROS 2025 (Associate Editor) and ICIAP 2025 (Area Chair).

In 2021, I obtained my PhD from the University of Bologna under the supervision of Professor Stefano Mattoccia. I previously received both my Master’s (2017) and Bachelor’s (2014) degrees in Computer Engineering from the same university.

In 2020, I was a visiting PhD student in the Autonomous Vision Group (AVG) led by Professor Andreas Geiger at the Max Planck Institute for Intelligent Systems and the University of Tübingen.

In 2022, I was awarded the Best PhD Thesis Award by the Italian Association for Research in Computer Vision, Pattern Recognition and Machine Learning (CVPL).

You can download my full Curriculum Vitae here! (26/06/2025)

News!

My Research Team

Stefano Mattoccia

Matteo Poggi

Publications

Full publication list on Google Scholar
*indicates joint first authorship

stereoanywhere
stereogs
Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs - NEW!

(Best Poster Award at BMVC 2024)

Sadra Safadoust, Fabio Tosi, Fatma Güney, Matteo Poggi
British Machine Vision Conference (BMVC), 2024
project page | paper | code


overcoming_challenging
federated
Federated Online Adaptation for Deep Stereo
Matteo Poggi, Fabio Tosi
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
project page | paper | code

slam_survey
goslam
vpp
Active Stereo Without Pattern Projector - NEW!
Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia
International Conference on Computer Vision (ICCV), 2023
project page | paper | code

stereonerf
NeRF-Supervised Deep Stereo
Fabio Tosi, Alessio Tonioni, Daniele De Gregorio, Matteo Poggi
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
project page | paper | supplementary | code | dataset | video

3DV2021
monovit
Monovit: Self-supervised monocular depth estimation with a vision transformer
Chaoqiang Zhao, Youmin Zhang, Matteo Poggi, Fabio Tosi,, Xianda Guo, Zheng Zhu, Guan Huang, Yang Tang, Stefano Mattoccia
International Conference on 3D Vision (3DV), 2022
paper | code

xnerf
Booster
rgb-ms
rgb-ms
On the Synergies Between Machine Learning and Binocular Stereo for Depth Estimation From Images: A Survey
Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
paper

SMD-Nets
SMD-Nets: Stereo Mixture Density Networks
Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger
Conference on Computer Vision and Pattern Recognition (CVPR), 2021
paper | supplement | blog | code | video | poster

omeganet
monoresmatch
Learning monocular depth estimation infusing traditional stereo knowledge
Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
paper | | supplementary | code | poster | video

adaptation2019
Real-time self-adaptive deep stereo

ORAL!

Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
paper | supplementary | code | video | live demo

guided
Guided Stereo Matching
Matteo Poggi*, Davide Pallotti*, Fabio Tosi, Stefano Mattoccia
Conference on Computer Vision and Pattern Recognition (CVPR), 2019
paper | demo code | video | poster

reversing
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation
Filippo Aleotti*, Fabio Tosi*, Li Zhang, Matteo Poggi, , Stefano Mattoccia
European Conference on Computer Vision (ECCV), 2020
paper | code | video