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Computer Science
Switzerland
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
25548
World Ranking
1565
National Ranking
36

Research.com Recognitions

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

Overview

Devis Tuia is affiliated with École Polytechnique Fédérale de Lausanne in Switzerland, contributing research predominantly in the fields of Environmental Science and Computer Science. Their work often intersects with subfields such as Computer Vision and Pattern Recognition, Ecology, Artificial Intelligence, Global and Planetary Change, and Media Technology.

Their research encompasses a variety of topics including Advanced Image and Video Retrieval Techniques, Domain Adaptation and Few-Shot Learning, Species Distribution and Climate Change, Multimodal Machine Learning Applications, Remote-Sensing Image Classification, Remote Sensing in Agriculture, and Land Use and Ecosystem Services.

Notable recent publications by Devis Tuia include:

  • Perspectives in machine learning for wildlife conservation, 2022, published in Nature Communications

Frequently collaborating with several researchers, Devis Tuia has coauthored multiple works with Benjamin Kellenberger, Diego Marcos, Sylvain Lobry, Marc Rußwurm, and Robin Zbinden.

Their publications have appeared in numerous venues, predominantly in:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Geoscience and Remote Sensing Magazine
  • Remote Sensing of Environment

Other recent relevant papers related to their field of study, although not authored by them directly, include:

  • RSVQA: Visual Question Answering for Remote Sensing Data, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • A deep learning framework for matching of SAR and optical imagery, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current approaches, open challenges, and future opportunities, 2022, IEEE Geoscience and Remote Sensing Magazine
  • Defining and spatially modelling cultural ecosystem services using crowdsourced data, 2020, Ecosystem Services

Best Publications

  • Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Deep learning in remote sensing: a review

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

    Ilke Demir;Krzysztof Koperski;David Lindenbaum;Guan Pang

  • Optimal Transport for Domain Adaptation

    Nicolas Courty;Remi Flamary;Devis Tuia;Alain Rakotomamonjy

  • Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

    Gustavo Camps-Valls;Devis Tuia;Lorenzo Bruzzone;Jon Atli Benediktsson

  • A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification

    Devis Tuia;Michele Volpi;Loris Copa;Mikhail Kanevski

  • Active Learning Methods for Remote Sensing Image Classification

    D. Tuia;F. Ratle;F. Pacifici;M.F. Kanevski

  • Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances

    Devis Tuia;Claudio Persello;Lorenzo Bruzzone

  • Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

    Michele Volpi;Devis Tuia

  • Multimodal Classification of Remote Sensing Images: A Review and Future Directions

    Luis Gomez-Chova;Devis Tuia;Gabriele Moser;Gustau Camps-Valls

  • DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

    Bharath Bhushan Damodaran;Benjamin Kellenberger;Rémi Flamary;Devis Tuia

  • Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks

    Michele Volpi;Devis Tuia

  • Multioutput Support Vector Regression for Remote Sensing Biophysical Parameter Estimation

    D. Tuia;J. Verrelst;L. Alonso;F. Perez-Cruz

  • Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning

    Benjamin Kellenberger;Diego Marcos;Devis Tuia

  • Supervised change detection in VHR images using contextual information and support vector machines

    Michele Volpi;Devis Tuia;Francesca Bovolo;Mikhail F. Kanevski

  • Rotation Equivariant Vector Field Networks

    Diego Marcos;Michele Volpi;Nikos Komodakis;Devis Tuia

  • Land cover mapping at very high resolution with rotation equivariant CNNs: Towards small yet accurate models

    Diego Marcos;Diego Marcos;Michele Volpi;Benjamin Kellenberger;Devis Tuia;Devis Tuia

  • Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

    Wenzhi Liao;Xin Huang;Frieke Van Coillie;Sidharta Gautama

  • Learning Relevant Image Features With Multiple-Kernel Classification

    Devis Tuia;Gustavo Camps-Valls;Giona Matasci;Mikhail Kanevski

  • Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification

    Giona Matasci;Michele Volpi;Mikhail Kanevski;Lorenzo Bruzzone

  • Using active learning to adapt remote sensing image classifiers

    D. Tuia;E. Pasolli;W.J. Emery

Frequent Co-Authors

Mikhail Kanevski
Mikhail Kanevski University of Lausanne
Gabriele Moser
Gabriele Moser University of Genoa
Gustau Camps-Valls
Gustau Camps-Valls University of Valencia
Jordi Muñoz-Marí
Jordi Muñoz-Marí University of Valencia
Jean-Philippe Thiran
Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
William J. Emery
William J. Emery University of Colorado Boulder
Alain Rakotomamonjy
Alain Rakotomamonjy Criteo (France)
Alexandre X. Falcão
Alexandre X. Falcão State University of Campinas
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich

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