Fabio Tosi

Junior Assistant Professor · University of Bologna

Fabio Tosi, PhD

I work at the intersection of computer vision and deep learning, on machines that understand the 3D structure of the world — stereo matching, monocular depth estimation, neural rendering and SLAM.

Department of Computer Science and Engineering (DISI), University of Bologna. I am also interested in making these models small and fast enough to run on resource-constrained devices.

Fabio Tosi

Bologna, Italy · fabio.tosi5@unibo.it

About

Research
  • Stereo Matching
  • Monocular Depth Estimation
  • Neural Rendering
  • SLAM
  • Efficient Deep Learning
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.

News

  • 09/2026 Upcoming: I am co-organizing the 3rd Workshop on Neural SLAM (NeuSLAM), held in conjunction with ECCV 2026 in Malmö, Sweden — September 8, afternoon.
  • 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!
Earlier newsHide earlier news

Research team

CVLab — University of Bologna

Stefano Mattoccia Stefano Mattoccia Full Professor
Matteo Poggi Matteo Poggi Associate Professor
Luca Bartolomei Luca Bartolomei Post-doc
Ziren Gong Ziren Gong PhD Student
Ugo Leone Cavalcanti Ugo Leone Cavalcanti PhD Student
Enrico Mannocci Enrico Mannocci PhD Student

Selected publications

A selection — the full list is on Google Scholar · * indicates joint first authorship

2026
MAGiSt3R

MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos New

Ziren Gong, Xiaohan Li, Fabio Tosi, Ninghui Xu, Stefano Mattoccia, Jianfei Cai, Matteo Poggi

ECCV|A++|European Conference on Computer Vision

2026
Bi-CMPStereo

Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereo

Ninghui Xu, Fabio Tosi, Lihui Wang, Jiawei Han, Luca Bartolomei, Zhiting Yao, Matteo Poggi, Stefano Mattoccia

CVPR|A++|Conference on Computer Vision and Pattern Recognition

2026
StereoSpace

StereoSpace: Depth-Free Synthesis of Stereo Geometry via End-to-End Diffusion in a Canonical Space

Tjark Behrens, Anton Obukhov, Bingxin Ke, Fabio Tosi, Matteo Poggi, Konrad Schindler

CVPR Findings|Conference on Computer Vision and Pattern Recognition – Findings

2026
Ov3R

Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos

Ziren Gong, Xiaohan Li, Fabio Tosi, Jiawei Han, Stefano Mattoccia, Jianfei Cai, Matteo Poggi

CVPR|A++|Conference on Computer Vision and Pattern Recognition

2026
FoundationSLAM

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

Yuchen Wu, Jiahe Li, Fabio Tosi, Matteo Poggi, Jin Zheng, Xiao Bai

AAAI|A++|AAAI Conference on Artificial Intelligence

2025
Eve3D

Eve3D: Elevating Vision Models for Enhanced 3D Surface Reconstruction via Gaussian Splatting

Jiawei Zhang, Youmin Zhang, Fabio Tosi, Meiying Gu, Jiahe Li, Xiaohan Yu, Jin Zheng, Xiao Bai, Matteo Poggi

NeurIPS|A++|Conference on Neural Information Processing Systems

2025
A Survey on Deep Stereo Matching in the Twenties

A Survey on Deep Stereo Matching in the Twenties

Fabio Tosi, Luca Bartolomei, Matteo Poggi

IJCV|Q1|International Journal of Computer Vision

2024
Federated Online Adaptation for Deep Stereo

Federated Online Adaptation for Deep Stereo

Matteo Poggi, Fabio Tosi

CVPR|A++|Conference on Computer Vision and Pattern Recognition

2023
Active Stereo Without Pattern Projector
2023
NeRF-Supervised Deep Stereo
2022
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

3DV|A-|International Conference on 3D Vision

2021
Machine learning and binocular stereo survey

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

TPAMI|Q1|IEEE Transactions on Pattern Analysis and Machine Intelligence

2021
SMD-Nets

SMD-Nets: Stereo Mixture Density Networks

Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger

CVPR|A++|Conference on Computer Vision and Pattern Recognition

2019
monoResMatch

Learning Monocular Depth Estimation Infusing Traditional Stereo Knowledge

Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia

CVPR|A++|Conference on Computer Vision and Pattern Recognition

2019
Real-time self-adaptive deep stereo

Real-Time Self-Adaptive Deep Stereo Oral

Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia

CVPR|A++|Conference on Computer Vision and Pattern Recognition

2019
Guided Stereo Matching

Guided Stereo Matching

Matteo Poggi*, Davide Pallotti*, Fabio Tosi, Stefano Mattoccia

CVPR|A++|Conference on Computer Vision and Pattern Recognition