Francesco Setti

Francesco SettiI'm currently Assistant Professor at the Department of Computer Science of the University of Verona working on the EU-H2020 project SARAS, and Associate Researcher of the Institute of Cognitive Science and Technology (ISTC-CNR).

I've been Post-Doc Research Fellow at the Vision, Image Processing & Sound (VIPS) Lab of the University of Verona (2015-2018) and earlier at the Laboratory for Applied Ontology of the Institute of Cognitive Science and Technology, Consiglio Nazionale delle Ricerche (ISTC-CNR), working on the project VisCoSo (2012-2015). Before, I was with the Measurement Instrumentation and Robotics Group of the University of Trento, with the PAT-EU Cofund Marie Curie Action project ABILE. I've spent 3 months at Instituto Superior Tecnico in Lisbon working with dr. Alessio Del Bue, and 1 year at Queen Mary University of London under the supervision of prof. Lourdes Agapito.

I'm a Mechatronics Engineer graduated at the University of Trento and I took my PhD in "Science, Technology and Measurements for Space" at the CISAS at the University of Padua. My background is in Computer Vision and Robotics; in particular I work on Pattern Recognition, Machine Learning and Knowledge Representation.

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Research Interests

My current research interests are in the application of machine learning and artificial intelligence techniques for industrial applications, with particular attention to the emerging fields of collaborative robotics and reinforcement learning for situation awareness decision making.

Active Vision
let a robot move to efficiently explore the scene and recognize objects within itsworkspace; this will allow to overcome problems like occlusions, limited field of view and limitedresolution of the cameras, and brings to learn more robust models of objects and environments.

Cognitive control
to allow a robot to perceive the environent it’s operating with, understandwhat’s happening around it, and make decisions about how to behave next; this is the foundamentalability of every autonomous cooperative robot.

Industry 4.0
to develop computer vision and machine learning techniques to process industrialdata and provide manufacturing automation with new capabilities in the field of industrial qualitycontrol, process monitoring, anomaly detection, and many others.

Selected Publications

You can find the full list of my publications here, but the best way is to see my Google Scholar profile.

Journal Papers

  • The Visual Social Distancing Problem
    Cristani M., Del Bue A., Murino V., Setti F., Vinciarelli A.
    IEEE Access, 2020

    DOI  PDF  
  • Count on me: learning to count on a single image
    Setti F., Conigliaro D., Tobanelli M., Cristani M.
    IEEE Transactions on Circuits and Systems for Video Technology, 2017

    DOI  PDF  
  • The S-Hock dataset: A new benchmark for spectator crowd analysis
    Setti F., Conigliaro D., Rota P., Basseti C., Conci N., Sebe N., Cristani M.
    Computer Vision and Image Understanding, Volume 159, pp. 47-58, 2017

    DOI  PDF  
  • Garment-based motion capture (GaMoCap): high-density capture of human shape in motion
    Biasi N., Setti F., Del Bue A., Tavernini M., Lunardelli M., Fornaser A., Da Lio M., De Cecco M.
    Machine Vision and Applications, Volume 26, Issue 7, pp. 955-973, 2015

    DOI  Bibtex  PDF  
  • F-formation Detection: Individuating Free-standing Conversational Groups in Images
    Setti F., Russell C., Bassetti C., Cristani M.
    PloS one 10(5), 2015

    DOI  Bibtex  PDF  Web  
  • Semantically-driven automatic creation of training sets for object recognition
    Cheng D.S., Setti F., Zeni N., Ferrario R., Cristani M.
    Computer Vision and Image Understanding 131, pp. 56-71, 2015

    DOI  Bibtex  PDF  
  • Shape measurement system for single point incremental forming (SPIF) manufacts by using trinocular vision and random pattern
    Setti F., Bini R., Lunardelli M., Bosetti P., Bruschi S., De Cecco M.
    Measurement Science and Technology, vol.23, no.11, pp.115402, 2012

  • A Unified Framework for Uncertainty, Compatibility Analysis and Data Fusion for Multi-Stereo 3D Shape Estimation
    De Cecco M., Pertile M., Baglivo L., Lunardelli M., Setti F., Tavernini M.
    IEEE Transactions on Instrumentation Measurements, vol.59, no.11, pp.2834-2842, 2010

    DOI  PDF  

Conference Papers

  • The SHock Dataset: Analyzing Crowds at the Stadium
    Conigliaro D., Rota P., Setti F., Bassetti C., Conci N., Sebe N., Cristani M.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston (USA), 2015

    DOI  Bibtex  PDF  Web  
  • The GRODE Metrics: Exploring the Performance of Group Detection Approaches
    Setti F., Cristani M.
    1st International Workshop on Group And Crowd Behavior Analysis And Understanding (GROW), in conj. with CVPR, Boston (USA), 2015

    DOI  Bibtex  PDF  Web  
  • ATTENTO: ATTENTion Observed for Automated Spectator Crowd Analysis
    Conigliaro D., Setti F., Bassetti C., Ferrario R., Cristani M.
    4th International Workshop on Human Behaviour Understanding (HBU), in conj. with ACM-Multimedia , Barcelona (Spain), 2013

    DOI  Bibtex  PDF  Web  
  • Multi-scale F-formation discovery for group detection
    Setti F., Lanz O., Ferrario R., Murino V., Cristani M.
    IEEE International Conference on Image Processing (ICIP), Melbourne (Australia), 2013

    DOI  Bibtex  PDF  Web  
  • Multiagent Socio-Technical Systems: An Ontological Approach
    Porello D., Setti F., Ferrario R., Cristani M.
    15th International Workshop on Coordination, Organizations, Institutions, and Norms in Agent Systems IX (COIN), in conj. with AAMAS, St. Paul (USA), 2013

    DOI  Bibtex  PDF  
  • A Multi-View Stereo System for Articulated Motion Analysis
    Setti F., De Cecco M., Del Bue A.
    5th International Conference on Computer Vision Theory and Applications (VISAPP), Angers (France), 2010



Room 1.64 - Ca' Vignal 2
Department of Computer Science
University of Verona
Strada le Grazie 15 - 37134 Verona (Italy)
+39 045 802 7804
+39 045 802 7068