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Massimo Bertozzi

Massimo Bertozzi

D-Index & Metrics

Computer Science

D-Index
37
Citations
8282
World Ranking
10541
National Ranking
322

Overview

Massimo Bertozzi is affiliated with the University of Parma in Italy and works primarily in the fields of Computer Science and Engineering. Their research focuses heavily on Computer Vision and Pattern Recognition, encompassing subfields such as Artificial Intelligence, Computational Mechanics, Automotive Engineering, and Environmental Engineering.

The scientist's work covers a range of topics including Generative Adversarial Networks and Image Synthesis, Face Recognition and Analysis, Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Video Surveillance and Tracking Methods, 3D Shape Modeling and Analysis, and Multimodal Machine Learning Applications.

Frequent publication venues for Massimo Bertozzi include:

  • arXiv (Cornell University)
  • ACM Transactions on Multimedia Computing Communications and Applications
  • Wireless Communications and Mobile Computing
  • 2022 IEEE Intelligent Vehicles Symposium (IV)
  • Pattern Recognition Letters

Among recent papers authored or coauthored by Massimo Bertozzi are:

  • MARS: Paying More Attention to Visual Attributes for Text-Based Person Search, 2025, ACM Transactions on Multimedia Computing Communications and Applications
  • Revisiting PatchMatch Multi-View Stereo for Urban 3D Reconstruction, 2022, 2022 IEEE Intelligent Vehicles Symposium (IV)
  • Energy and Path-Aware-Reliable Routing in Underwater Acoustic Wireless Sensor Networks, 2022, Wireless Communications and Mobile Computing
  • FrankenMask: Manipulating semantic masks with transformers for face parts editing, 2023, Pattern Recognition Letters
  • Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians, 2022, arXiv (Cornell University)

Massimo Bertozzi has collaborated frequently with several researchers, including Tomaso Fontanini, Andrea Prati, Claudio Ferrari, Alex Ergasti, and Marco Orsingher. The collaboration counts range from 6 to 18 joint works, indicating sustained partnerships within the research community.

Best Publications

  • GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection

    M. Bertozzi;A. Broggi

  • Vision-based intelligent vehicles: State of the art and perspectives

    Massimo Bertozzi;Alberto Broggi;Alessandra Fascioli

  • Artificial vision in road vehicles

    M. Bertozzi;A. Broggi;M. Cellario;A. Fascioli

  • Shape-based pedestrian detection

    A. Broggi;M. Bertozzi;A. Fascioli;M. Sechi

  • Stereo inverse perspective mapping: theory and applications

    Massimo Bertozz;Alberto Broggi;Alessandra Fascioli

  • Stereo vision-based vehicle detection

    M. Bertozzi;A. Broggi;A. Fascioli;S. Nichele

  • Automatic Vehicle Guidance: the Experience of the ARGO Autonomous Vehicle

    Alberto Broggi;Massimo Bertozzi;Alessandra Fascioli;Gianni Conte

  • Pedestrian detection for driver assistance using multiresolution infrared vision

    M. Bertozzi;A. Broggi;A. Fascioli;T. Graf

  • Vehicle detection by means of stereo vision-based obstacles features extraction and monocular pattern analysis

    G. Toulminet;M. Bertozzi;S. Mousset;A. Bensrhair

  • A cooperative approach to vision-based vehicle detection

    A. Bensrhair;M. Bertozzi;A. Broggi;P. Miche

  • Visual perception of obstacles and vehicles for platooning

    A. Broggi;M. Bertozzi;A. Fascioli;C. Guarino Lo Bianco

  • A real-time oriented system for vehicle detection

    Massimo Bertozzi;Alberto Broggi;Stefano Castelluccio

  • Pedestrian detection by means of far-infrared stereo vision

    M. Bertozzi;A. Broggi;C. Caraffi;M. Del Rose

  • A Pedestrian Detector Using Histograms of Oriented Gradients and a Support Vector Machine Classifier

    M. Bertozzi;A. Broggi;M. Del Rose;M. Felisa

  • Real-time lane and obstacle detection on the GOLD system

    M. Bertozzi;A. Broggi

  • Quintic G/sup 2/-splines for the iterative steering of vision-based autonomous vehicles

    A. Piazzi;C.G. Lo Bianco;M. Bertozzi;A. Fascioli

  • Pedestrian detection in infrared images

    M. Bertozzi;A. Broggi;P. Grisleri;T. Graf

  • Pedestrian localization and tracking system with Kalman filtering

    M. Bertozzi;A. Broggi;A. Fascioli;A. Tibaldi

  • Self-Localization Based on Visual Lane Marking Maps: An Accurate Low-Cost Approach for Autonomous Driving

    Rafael Peixoto Derenzi Vivacqua;Massimo Bertozzi;Pietro Cerri;Felipe Nascimento Martins

  • Shape-based pedestrian detection and localization

    M. Bertozzi;A. Broggi;R. Chapuis;F. Chausse

Frequent Co-Authors

Alberto Broggi
Alberto Broggi University of Parma
Roberto Passerone
Roberto Passerone University of Trento
Alain Rakotomamonjy
Alain Rakotomamonjy Criteo (France)

External Links

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