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. As part of my role, I teach Module 2 of the Digital Systems M course in Computer Engineering at the University of Bologna, where I cover CUDA programming. 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! (20/08/2023)

News!

  • 07/2024 1 paper accepted to WACV 2025!
  • 09/2024 Grateful for the Outstanding Reviewer recognition at ECCV 2024!
  • 07/2024 Our paper "Diffusion Models for Monocular Depth Estimation" has been accepted at ECCV 2024!
  • 07/2024 Our latest paper, "A Survey on Deep Stereo Matching in the Twenties", is up on arXiv!
  • 07/2024 1 paper accepted to BMVC 2024!
  • 06/2024 Our CVPR tutorial on deep stereo matching is now available! Get all the insights here!
  • 06/2024 Our extended version of Neural Disparity Refinement has been accepted for publication in the TPAMI journal!
  • 05/2024 Honored to be recognized as a Outstanding Reviewer at CVPR 2024!
  • 04/2024 The "Awesome-Deep-Stereo-Matching" repository is live! 🚀
  • 04/2024 3 workshops accepted for ECCV 2024! Stay tuned!
  • 02/2024 1 paper accepted to CVPR 2024!
  • 02/2024 Our paper, "How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey" is now available! Check it out on arXiv!
  • 10/2023 I am proud to announce my new role as a Junior Assistant Professor (RTDA) at the Department of Computer Science and Engineering (DISI)!
  • 10/2023 Our extended version of Booster has been officially accepted for publication in the TPAMI journal!
  • 07/2023 Our team rocks! 4 papers accepted at ICCV 2023! 🚀 🚀 🚀 🚀
  • 05/2023 It is with great pleasure that I announce my achievement as an Outstanding Reviewer at CVPR 2023! (Award Certificate)
  • 02/2023 I received my National Scientific Habilitation (09/H1)
  • 11/2022 🏆 Celebrating the recognition of the Best PhD Thesis Award from the Italian Association for Computer Vision Research (CVPL 2022)
  • 09/2021 Best Paper Honorable Mention to our work “Neural Disparity Refinement for Arbitrary Resolution Stereo"

My Research Team

Stefano Mattoccia

Matteo Poggi

Publications

Full publication list on Google Scholar
*indicates joint first authorship

slam_survey
slam_survey
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