World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
8174
World Ranking
6097
National Ranking
93

Overview

Frédéric Kaplan is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research primarily belongs to the field of Computer Science, with a focus on subfields such as Computer Vision and Pattern Recognition, Building and Construction, Geology, Geography, Planning and Development, and Space and Planetary Science.

The scientist's work addresses topics including Image Processing and 3D Reconstruction, 3D Surveying and Cultural Heritage, 3D Modeling in Geospatial Applications, Geographic Information Systems Studies, Handwritten Text Recognition Techniques, Image Retrieval and Classification Techniques, and Archaeological Research and Protection.

Frequent coauthors in their publications include:

  • Isabella di Lenardo
  • Beatrice Vaienti
  • Maud Ehrmann
  • Simon Clematide
  • Rémi Petitpierre

Publications are often found in these venues:

  • Zurich Open Repository and Archive (University of Zurich)
  • Cartography and Geographic Information Science
  • Heritage
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)

Recent papers authored or coauthored by Frédéric Kaplan include:

  • "Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers," 2021, Zurich Open Repository and Archive (University of Zurich)
  • "Generation of LOD4 models for buildings towards the automated 3D modeling of BIMs and digital twins," 2024, Automation in Construction
  • "The Advent of the 4D Mirror World," 2020, Urban Planning
  • "A digital reconstruction of the 1630-1631 large plague outbreak in Venice," 2020, Scientific Reports
  • "Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction," 2023, Remote Sensing

Best Publications

  • Intrinsic Motivation Systems for Autonomous Mental Development

    P.-Y. Oudeyer;F. Kaplan;V.V. Hafner

  • What is Intrinsic Motivation? A Typology of Computational Approaches.

    Pierre-Yves Oudeyer;Frederic Kaplan

  • AIBO's first words: The social learning of language and meaning

    Luc Steels;Frédéric Kaplan

  • WHO IS AFRAID OF THE HUMANOID? INVESTIGATING CULTURAL DIFFERENCES IN THE ACCEPTANCE OF ROBOTS

    Frédéric Kaplan

  • The challenges of joint attention

    Frédéric Kaplan;Verena V. Hafner

  • Crucial factors in the origins of word-meaning

    Luc Steels;Frédéric Kaplan;Angus Mcintyre;Joris Van Looveren

  • Bootstrapping grounded word semantics

    Luc Steels;Frédéric Kaplan

  • Classroom orchestration : The third circle of usability

    Pierre Dillenbourg;Guillaume Zufferey;Hamed Alavi;Patrick Jermann

  • In search of the neural circuits of intrinsic motivation

    Frederic Kaplan;Pierre-Yves Oudeyer

  • Living with a Vacuum Cleaning Robot: A 6-month Ethnographic Study

    Julia Fink;Valérie Bauwens;Frédéric Kaplan;Pierre Dillenbourg

  • Robotic clicker training

    Frédéric Kaplan;Pierre Yves Oudeyer;Enikö Kubinyi;Adám Miklósi

  • An Interactive Table for Supporting Participation Balance in Face-to-Face Collaborative Learning

    K Bachour;F Kaplan;P Dillenbourg

  • How can we define intrinsic motivation

    Pierre-Yves Oudeyer;Frederic Kaplan

  • Stochasticity as a source of innovation in language games

    Luc Steels;Frédéric Kaplan

  • Maximizing Learning Progress: An Internal Reward System for Development

    Frédéric Kaplan;Pierre-Yves Oudeyer

  • dhSegment: A Generic Deep-Learning Approach for Document Segmentation

    Sofia Ares Oliveira;Benoit Seguin;Frederic Kaplan

  • Classification of dog barks: A machine learning approach

    Csaba Molnár;Frédéric Kaplan;Pierre Roy;François Pachet

  • Social behaviour of dogs encountering AIBO, an animal-like robot in a neutral and in a feeding situation

    Enikő Kubinyi;Ádám Miklósi;Frédéric Kaplan;Márta Gácsi

  • Situated grounded word semantics

    Luc Steels;Frederic Kaplan

  • Motivational principles for visual know-how development

    Frederic Kaplan;Pierre-Yves Oudeyer

  • Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study

    Guenter Muehlberger;Louise Seaward;Melissa Terras;Sofia Ares Oliveira

Frequent Co-Authors

Pierre-Yves Oudeyer
Pierre-Yves Oudeyer French Institute for Research in Computer Science and Automation - INRIA
Pierre Dillenbourg
Pierre Dillenbourg École Polytechnique Fédérale de Lausanne
Luc Steels
Luc Steels Spanish National Research Council
Yeukuang Hwu
Yeukuang Hwu Academia Sinica
Ádám Miklósi
Ádám Miklósi Eötvös Loránd University
Giorgio Margaritondo
Giorgio Margaritondo École Polytechnique Fédérale de Lausanne
Márta Gácsi
Márta Gácsi Eötvös Loránd University
József Topál
József Topál Hungarian Academy of Sciences
Marcel Salathé
Marcel Salathé École Polytechnique Fédérale de Lausanne
Jung Ho Je
Jung Ho Je Pohang University of Science and Technology

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