I received a PhD in Computer Science and Engineering from the University of Bologna in 2002 and currently I'm associate professor, with national scientific habilitation 09/H1 for the role of full professor, at the Department of Computer Science and Engineering, School of Engineering and Architecture, University of Bologna. My research focuses on scene perception to infer depth, optical flow, semantic segmentation, and so on from images — with monocular, stereo, and multi-view setups — and sensor fusion — using LiDARs/ToFs and cameras — for the same purposes, mostly using self-adaptive learning-based methodologies. I’m IEEE Senior member. [CV]
Short bio
Stefano Mattoccia
Associate Professor, PhD
Department of Computer Science and Engineering (DISI)
School of Engineering and Architecture
University of Bologna
Address: Viale del Risorgimento, 2 40136 Bologna, Italy
Phone: +39 051 2093860 - Fax +29 051 2093869
Email: stefano.mattoccia#AT#unibo.it
Research
PhD students
Keywords: computer vision, machine-learning, 3D vision, depth and scene flow estimation from monocular and stereo images, domain adaptation, embedded computer vision
My research activity is concerned with computer vision, machine learning applied to computer vision problems and embedded vision systems. For a more detailed overview take a look at the publications, Google Scholar, or Orcid
Team: Stefano Mattoccia (Associate professor), Matteo Poggi (Tenure-Track Assistant professor), Fabio Tosi (Junior Assistant Professor), Youmin Zhang (PhD student), Fan Rizhao (PhD student), Huan Li (PhD student), Andrea Conti (PhD student), Luca Bartolomei (PhD student), Alessio Mingozzi (PhD student), Enrico Mannocci (PhD student), Ugo Leone Cavalcanti (PhD student), Ziren Gong (PhD student). Visiting PhD students: Xin Qiao (Xi'an Jiaotong University), Chaoqiang Zhao (East China University of Science and Technology, Shanghai).
Former members: Filippo Aleotti (now at Niantic).
Enrico Mannocci, University of Bologna (2023-present)
End-to-end autonomous driving
Ugo Leone Cavalcanti, University of Bologna (2023-present), funded by Sony Depthsensing Solutions
Monocular depth estimation and applications
Gong Ziren University of Bologna/China Scholarship Council (2023-present)
Simultaneous Localization And Mapping
Luca Bartolomei, University of Bologna (2022-present)
Deep stereo vision, co-supervised with Matteo Poggi
Alessio Mingozzi, University of Bologna (2022-present), funded by The Edge Company
Flow estimation, co-supervised with Matteo Poggi
Andrea Conti, University of Bologna (2021-present), funded by Sony Depthsensing Solutions
Monocular depth sensing with active sensors, co-supervised with Matteo Poggi
Huan Li, University of Bologna/China Scholarship Council (2021-present)
Monocular depth sensing, co-supervised with Matteo Poggi
Youmin Zhang, University of Bologna/China Scholarship Council (2020-2024)
Stereo and monocular depth sensing, , co-supervised with Matteo Poggi
Fan Rizhao, University of Bologna /China Scholarship Council (2020-2024)
Depth completion, co-supervised with Matteo Poggi
Filippo Aleotti, University of Bologna (2018-2021)
Unsupervised monocular depth estimation
Fabio Tosi, University of Bologna (2017-2020)
Deep-learning for 3D reconstruction - [Best PhD Thesis Award 2020-2022 (CVPL)]
Matteo Poggi, University of Bologna (2014-2017)
Machine learning for stereo vision
Leonardo De-Maeztu Reinares, Public University of Navarre, Pamplona, Spain (2009-2012)
Towards accurate and real-time local stereo correspondence algorithms: computational efficiency and massively
parallel architectures, co-supervised with Arantxa Villanueva (Public University of Navarre)
Federico Tombari, University of Bologna (2006-2009)
Methodologies for visual correspondence, co-supervised with Luigi Di Stefano
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Updates
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