Fabio Tosi, PhD

I am a Junior Assistant Professor (RTDA) at the Department of Computer Science and Engineering (DISI), University of Bologna. My research lies at the intersection of computer vision and deep learning, with a focus on 3D scene understanding — including stereo matching, monocular depth estimation, neural rendering, and SLAM. I am also interested in efficient deep learning for resource-constrained devices.

Background. I received my PhD in 2021 from the University of Bologna, supervised by Professor Stefano Mattoccia, and 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 received the Best PhD Thesis Award from the Italian Association for Research in Computer Vision, Pattern Recognition and Machine Learning (CVPL).

Service. Since 2024, I serve as Associate Editor for Pattern Recognition (Elsevier). I have also served as Area Chair at CVPR 2026, ECCV 2026, ACCV 2026, and ICIAP 2025, and as Associate Editor at IROS 2025.

Teaching. I teach “Accelerated Computing Systems” (CUDA C, GPU architectures, high-performance computing) in the Master’s program in Computer Engineering, and GPU-accelerated computing for AI at the PhD level. I also teach “Fundamentals of Computer Science” (logic networks, computer architectures) in the Mechatronics program.

📄 Download my CV (updated 20/04/2026)

News!

  • 06/2026 3 papers accepted to ECCV 2026, 1 paper accepted to IROS 2026!
  • 05/2026 Honored to be recognized as an Outstanding Area Chair at CVPR 2026!
  • 02/2026 3 papers at CVPR 2026, 1 at CVPR Findings 2026!
  • 02/2026 Our survey on NeRF & 3DGS-based SLAM accepted to T-RO!
  • 12/2025 2 paper accepted to WACV 2025 and AAAI 2025 (Oral)!
  • 09/2024 Grateful for the Outstanding Reviewer recognition at ICCV 2025!
  • 09/2025 1 paper accepted with Rawmantic AI to NIPS 2025!
  • 06/2025 2 paper accepted to ICCV 2025!
  • 06/2025 One paper is set for IROS 2025, and another for IJCV!
  • 05/2025 Grateful for the recognition as an Outstanding Reviewer at CVPR 2025!
  • 02/2025 Our paper "Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail" has been accepted at CVPR 2025!
  • 01/2025 1 paper accepted to ICRA 2025!
  • 12/2024 Our survey paper, "A Survey on Deep Stereo Matching in the Twenties", has been accepted at the IJCV journal!
  • 11/2024 – Our research with Sadra and Fatma received the Best Poster Award at BMVC 2024!
  • 07/2024 1 paper accepted to WACV 2024!
  • 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!
  • 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!
  • 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)!
  • 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

CVLab – University of Bologna

Stefano Mattoccia
Full Professor

Matteo Poggi
Associate Professor

Luca Bartolomei
Post-doc

Ziren Gong
PhD Student

Ugo Leone Cavalcanti
PhD Student

Enrico Mannocci
PhD Student

Publications

Full publication list on Google Scholar
*indicates joint first authorship

bicmpstereo
Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereo - NEW!
Ninghui Xu, Fabio Tosi, Lihui Wang, Jiawei Han, Luca Bartolomei, Zhiting Yao, Matteo Poggi, Stefano Mattoccia
Conference on Computer Vision and Pattern Recognition (CVPR), 2026
paper | code


eventhub
EventHub: Data Factory for Generalizable Event-Based Stereo Networks without Active Sensors - NEW!
Luca Bartolomei, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Guillermo Gallego
Conference on Computer Vision and Pattern Recognition (CVPR), 2026
project page | paper | arXiv | poster | code


stereospace
StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space - NEW!
Tjark Behrens, Anton Obukhov, Bingxin Ke, Fabio Tosi, Matteo Poggi, Konrad Schindler
Conference on Computer Vision and Pattern Recognition – Findings (CVPR Findings), 2026
arXiv | paper | code | demo


ov3r
Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos - NEW!
Ziren Gong, Xiaohan Li, Fabio Tosi, Jiawei Han, Stefano Mattoccia, Jianfei Cai, Matteo Poggi
Conference on Computer Vision and Pattern Recognition (CVPR), 2026
project page | paper


eve3d
Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting - NEW!
Jiawei Zhang, Youmin Zhang, Fabio Tosi, Meiying Gu, Jiahe Li, Xiaohan Yu, Jin Zheng, Xiao Bai, Matteo Poggi
Conference on Neural Information Processing Systems (NeurIPS), 2025
paper | supplementary


foundationslam
FoundationSLAM: Unleashing the Power of Depth Foundation Models for End-to-End Dense Visual SLAM - NEW!

(ORAL)

Yuchen Wu, Jiahe Li, Fabio Tosi, Matteo Poggi, Jin Zheng, Xiao Bai
AAAI Conference on Artificial Intelligence (AAAI), 2026
paper


warprf
flowseek
FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases - NEW!
Matteo Poggi, Fabio Tosi
International Conference on Computer Vision (ICCV), 2025
project page | paper | code | poster


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

(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
Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia
International Conference on Computer Vision (ICCV), 2023
project page | 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