Fabio Tosi

Fabio Tosi

Post-doctoral Researcher @ University of Bologna

Fabio Tosi, PhD

Currently, I am a Junior Assistant Professor (RTDA) at the Department of Computer Science and Engineering (DISI) at the University of Bologna, and I also serve as an Adjunct Professor for the Fundamentals of Computer Science course at the Department of Electrical, Electronic, and Information Engineering “Guglielmo Marconi”. My research interests are in computer vision and machine learning, with a particular focus on 3D reconstruction from images.

In 2021, I received my PhD degree from the University of Bologna under the supervision of Professor Stefano Mattoccia. Previously, I received a Master’s and Bachelor’s degree in Computer Engineering in 2017 and 2014, respectively.

In 2020, I was a visiting PhD student in the research group of the Autonomous Vision Group (AVG) of 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 by the Italian Association for Research in Computer Vision, Pattern Recognition and Machine Learning (CVPL).

You can download my full Curriculum Vitae here! (08/03/2023)

News!

My Research Team

Stefano Mattoccia

Matteo Poggi

Publications

Full publication list on Google Scholar
*indicates joint first authorship

slam_survey
stereonerf
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