Welcome to my home page


I received a Master degree in Electronic Engineering and a Ph.D. in Computer Science and Engineering from the University of Bologna. Currently I'm Associate Professor at the Department of Computer Science and Engineering, School of Engineering and Architecture, University of Bologna. My research interests include: computer vision, depth estimation from monocular and stereo images, embedded computer vision. I regularly serve as reviewer for major international conferences and journals.


Short bio

Stefano Mattoccia

Associate Professor

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


Keywords: computer vision, depth estimation from monocular and stereo images, 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 publication page or Google Scholar

  1. -Sono disponbili tesi di laurea (magistrale e triennale) e tirocini nell’ambito di tematiche inerenti la computer vision con particolare riferimento alla generazione e alla elaborazione di dati 3D mediante machine learning.
    In particolare, le tematiche di ricerca vertono su: deep-learning/machine learning, computer vision e 3D vision, sistemi di computer vision embedded, sistemi assistivi per ipovedenti e non vedenti, robotica, sistemi di guida autonoma.

  2. -Sono disponibili tesi e tirocini da svolgere all’estero e/o in azienda

  3. -Per informazioni o per fissare un appuntamento: stefano.mattoccia__AT__unibo.it

  4. -Una lista di tesi e tirocini svolti e in corso è disponibile a questo link

Tesi di laurea e tirocini/Theses and internships

  1. -Sistemi Embedded riconfigurabili M, Ing. Informatica (Magistrale) 2009-2019

  2. -Calcolatori Elettronici T, Ing. Informatica  2009-2019

  3. -Fondamenti di Informatica 2, Ing. Meccatronica  2019

  4. -Reti Logiche T, Ing. Informatica 2016-2018

  5. -Reti Logiche LA, Ing. Automazione 2006-2008

  6. -Reti Logiche LA, Ing. Elettronica 2003-2005


Service and professional activities

  1. -Best paper award at 14th IEEE Embedded Vision Workshop (CVPR 2018)

  2. -Best demo paper award at 4th IEEE Mobile Vision Workshop (CVPR2014)

  3. -Outstanding reviewer, International Conference on Computer Vision and Pattern Recognition (CVPR 2013)

  4. -Best paper award at 7th IEEE Embedded Vision Workshop (CVPR 2011)


  1. -Course for PhD students: Learning-based dense depth estimation from stereo and monocular images, with M. Poggi, January/February 2019 [Abstract] [Website

  2. -Talk: Learning-based methods for depth from images and confidence estimation, Naver Labs Europe, Grenoble (France), December 14, 2018 [PDF]

  3. -Tutorial: Learning-based depth estimation from stereo and monocular images: successes, limitations and future challenges, with M. Poggi, F. Tosi, K. Batsos, P. Mordohai, 3DV 2018, Verona, Italy, September 8, 2018 - Slides available here.

  4. -Demo:Towards Real-time Learning of Monocular Depth Estimation Enabling Multiple View Synthesis on CPU, with Matteo Poggi and Fabio Tosi, European Conference on Computer Vision (ECCV2018), September 10, 2018 Munich, Germany

  5. -Talk: 3D Sensing from Images, with Matteo Poggi and Fabio Tosi, European Machine Vision Forum 2018, Bologna, Italy, September 6, 2018 [Abstract] [PDF]

  6. -Demo: Towards real-time monocular and unsupervised depth estimation on CPU, with M. Poggi, F. Aleotti and F. Tosi, International Conference on 3D Vision (3DV2018), September 5-7, 2018, Verona, Italy

  7. -Talk: Deep-learning for depth estimation, TU Graz, Graz University of Technology - Institute of Computer Graphics & Vision, April 17, 2018

  8. -Talks: Deep-learning for low level vision problems & Mapping of computer vision algorithms on FPGAs with High Level Synthesis tools, Summer School on Deep Learning on Chip (Macloc2017) September 20-22, 2017 – Politecnico di Torino, Torino (Italy) [PDF]

Recent talks, tutorials and demos

Informativa sulla privacy disponibile a questo link

Recent selected papers:

- Enabling Energy-Efficient Unsupervised Monocular Depth Estimation on ARMv7-Based Platforms, DATE 2019
- Geometry meets semantic for semi-supervised monocular depth estimation, ACCV 2018

- Learning monocular depth estimation with unsupervised trinocular assumptions, 3DV 2018

- Beyond local reasoning for stereo confidence estimation with deep learning, ECCV 2018
- Towards real-time unsupervised monocular depth estimation on CPU, IROS 2018

- KCNN: Extremely-Efficient Hardware Keypoint Detection with a Compact CNN, EVW18, best paper award

- Quantitative evaluation of confidence measures in a machine learning world, ICCV 2017

- Unsupervised Adaptation for Deep Stereo, ICCV 2017

- Learning confidence measures in the wild, BMVC 2017

  1. -Learning to predict stereo reliability enforcing local consistency of confidence maps, CVPR 2017

  2. -Reliable fusion of ToF and stereo depth driven by confidence measures, ECCV 2016

  3. -Learning a general-purpose confidence measure based on O(1) features and a smarter aggregation strategy for semi global matching, 3DV 2016

  4. -Deep Stereo Fusion: combining multiple disparity hypotheses with deep-learning, 3DV 2016

  5. -Learning from scratch a confidence measure, BMVC 2016


  Filippo Aleotti, University of Bologna (2018-present)
      Unsupervised monocular depth estimation

  Fabio Tosi, University of Bologna (2017-present)
      Deep-learning for 3D reconstruction

      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 Prof. Luigi Di Stefano (University of Bologna)

PhD students

  1. -General co-Chair 12th IEEE Embedded Vision Workshop (EVW2016), CVPR 2016 workshop

  2. -Program Chair 11th IEEE Embedded Vision Workshop (EVW2015), CVPR 2015 workshop

  3. -Program co-Chair 10th IEEE Embedded Vision Workshop (EVW2014), CVPR 2014 workshop

  4. -Area Chair IEEE International Conference on Multimedia & Expo ICME 2014

  5. -Area Chair IEEE International Conference on Multimedia & Expo ICME 2013

  6. -Guest Editor IEEE Journal of Selected Topics in Signal Processing, Special Issue on Emerging Techniques in 3D 2013

  7. -Guest Editor Springer’s Journal of Signal Processing Systems 2016

  8. -Reviewer for major international conferences and journals

    Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Medical Images, IEEE Transactions on Circuits and Systems I, IEEE Transactions on Circuits and Systems - II, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on VLSI Systems, IEEE  Transactions on Neural Systems and Rehabilitation Engineering, IEEE Signal Processing Letter, Computer Vision and Image Understanding, Image and Vision Computing, Machine Vision and Applications, Pattern Recognition Letters, Elsevier Journal of Visual Communication and Image Representation, Journal of Signal Processing Systems, Journal of Microprocessors and Microsystems, Digital Signal Processing, IET Computer Vision, IET Intelligent Transport Systems, VLSI Design, EURASIP Journal on Image and Video Processing, ISRN Machine Vision, SPIE Journal of Electronic Imaging, SPIE Optical Engineering, Optics Express, International Journal of Computational Vision and Robotics, International Journal of Artificial Intelligence and Soft Computing, Artificial Intelligence Review, The Knowledge Engineering Review, Journal of Network and Computer Applications

  9. -Key member (2010-2014) of the Interest Group on 3D Rendering, Processing and Communications of  IEEE Multimedia Communication TC

  10. -Member of IEEE and CVPL (IAPR) 

  11. -Member of the following PhD dissertation committees:

        TU Graz (2018), University of Bologna (2018), University of Torino (2018), University of Padova (2017),
        University of Parma (2015)