World's Best Scientists 2026 revealed!
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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
65
Citations
18343
World Ranking
2442
National Ranking
40

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Barbara Caputo is affiliated with the Polytechnic University of Turin in Italy. Their research primarily spans the field of Computer Science, with a focus on several specialized subfields.

The subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Radiology, Nuclear Medicine and Imaging

Their main research topics cover various areas in machine learning and computer vision, specifically:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Robotics and Sensor-Based Localization
  • COVID-19 diagnosis using AI

Barbara Caputo has contributed to numerous publications, with recent notable papers including:

  • "Modeling the Background for Incremental Learning in Semantic Segmentation" (2020), published by Institutional Research Information System (Università degli Studi di Trento)
  • "Rethinking Visual Geo-localization for Large-Scale Applications" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Survey on Deep Visual Place Recognition" (2021), published in IEEE Access
  • "Cluster-driven graph federated learning over multiple domains" (2021), published by Institutional Research Information System (Università degli Studi di Trento)
  • "Deep Visual Geo-localization Benchmark" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Frequent co-authors collaborating with Barbara Caputo include:

  • Carlo Masone
  • Fabio Cermelli
  • Gabriele Berton
  • Antonio Tavera
  • Marco Ciccone

Their publications are often presented in a range of venues, with several recurring outlets such as:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE Access

Best Publications

  • Recognizing human actions: a local SVM approach

    C. Schuldt;I. Laptev;B. Caputo

  • Electromyography data for non-invasive naturally-controlled robotic hand prostheses

    Manfredo Atzori;Arjan Gijsberts;Claudio Castellini;Barbara Caputo

  • Domain Generalization by Solving Jigsaw Puzzles

    Fabio M. Carlucci;Antonio D'Innocente;Silvia Bucci;Barbara Caputo

  • On the Significance of Real‐World Conditions for Material Classification

    Eric Hayman;Barbara Caputo;Mario Fritz;Jan Olof Eklundh

  • Recognition with local features: the kernel recipe

    Unknown

  • Class-specific material categorisation

    B. Caputo;E. Hayman;P. Mallikarjuna

  • AutoDIAL: Automatic Domain Alignment Layers

    Fabio Maria Cariucci;Lorenzo Porzi;Barbara Caputo;Elisa Ricci

  • Characterization of a Benchmark Database for Myoelectric Movement Classification

    Manfredo Atzori;Arjan Gijsberts;Ilja Kuzborskij;Simone Elsig

  • Modeling the Background for Incremental Learning in Semantic Segmentation

    Fabio Cermelli;Massimiliano Mancini;Samuel Rota Bulo;Elisa Ricci

  • Building the Ninapro database: A resource for the biorobotics community

    Manfredo Atzori;Arjan Gijsberts;Simone Heynen;Anne-Gabrielle Mittaz Hager

  • Safety in numbers: Learning categories from few examples with multi model knowledge transfer

    Tatiana Tommasi;Francesco Orabona;Barbara Caputo

  • Local velocity-adapted motion events for spatio-temporal recognition

    Ivan Laptev;Barbara Caputo;Christian Schüldt;Tony Lindeberg

  • Multi-modal Semantic Place Classification

    A. Pronobis;O. Martínez Mozos;B. Caputo;P. Jensfelt

  • From Source to Target and Back: Symmetric Bi-Directional Adaptive GAN

    Paolo Russo;Fabio M. Carlucci;Tatiana Tommasi;Barbara Caputo

  • A Deeper Look at Dataset Bias.

    Tatiana Tommasi;Novi Patricia;Novi Patricia;Barbara Caputo;Tinne Tuytelaars

  • Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-Based Hand Movement Classification

    Arjan Gijsberts;Manfredo Atzori;Claudio Castellini;Henning Müller

  • Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography

    Claudio Castellini;Panagiotis K. Artemiadis;Michael Wininger;Arash Ajoudani

  • Looking beyond appearances: Synthetic training data for deep CNNs in re-identification

    Igor Barros Barbosa;Marco Cristani;Barbara Caputo;Aleksander Rognhaugen

  • ImageCLEF: Experimental Evaluation in Visual Information Retrieval

    Henning Mller;Paul Clough;Thomas Deselaers;Barbara Caputo

  • A Discriminative Approach to Robust Visual Place Recognition

    Andrzej Pronobis;Barbara Caputo;Patric Jensfelt;Henrik Christensen

  • A Deeper Look at Dataset Bias

    Tatiana Tommasi;Novi Patricia;Novi Patricia;Barbara Caputo;Tinne Tuytelaars

Frequent Co-Authors

Francesco Orabona
Francesco Orabona King Abdullah University of Science and Technology
Samuel Rota Bulò
Samuel Rota Bulò Facebook (United States)
Henning Müller
Henning Müller University of Applied Sciences and Arts Western Switzerland
Claudio Castellini
Claudio Castellini University of Erlangen-Nuremberg
Elisa Ricci
Elisa Ricci Fondazione Bruno Kessler
Patric Jensfelt
Patric Jensfelt Royal Institute of Technology
Henrik I. Christensen
Henrik I. Christensen University of California, San Diego
Giulio Sandini
Giulio Sandini Italian Institute of Technology
Peter Brugger
Peter Brugger University of Zurich
Frank W. Ohl
Frank W. Ohl Leibniz Institute for Neurobiology

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