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Devis Tuia

2008–2026 年に発表

302
論文数
19,646
被引用数
65
h 指数
148
i10 指数

被引用数

Devis Tuia の年別被引用数1947 年: 被引用 1 件2004 年: 被引用 2 件2006 年: 被引用 1 件2007 年: 被引用 1 件2009 年: 被引用 9 件2010 年: 被引用 56 件2011 年: 被引用 94 件2012 年: 被引用 159 件2013 年: 被引用 205 件2014 年: 被引用 278 件2015 年: 被引用 340 件2016 年: 被引用 452 件2017 年: 被引用 594 件2018 年: 被引用 813 件2019 年: 被引用 1,238 件2020 年: 被引用 1,309 件2021 年: 被引用 1,521 件2022 年: 被引用 1,336 件2023 年: 被引用 1,212 件2024 年: 被引用 1,329 件2025 年: 被引用 1,074 件2026 年: 被引用 227 件2027 年: 被引用 1 件1948〜2003 年は被引用が無いため表示していません2005 年は被引用が無いため表示していません2008 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 4,384 件、この内訳の 34.1%アメリカ合衆国: 引用元論文 1,435 件、この内訳の 11.2%ドイツ: 引用元論文 734 件、この内訳の 5.7%フランス: 引用元論文 655 件、この内訳の 5.1%イタリア: 引用元論文 458 件、この内訳の 3.6%イギリス: 引用元論文 447 件、この内訳の 3.5%スペイン: 引用元論文 395 件、この内訳の 3.1%インド: 引用元論文 393 件、この内訳の 3.1%オーストラリア: 引用元論文 339 件、この内訳の 2.6%カナダ: 引用元論文 278 件、この内訳の 2.2%スイス: 引用元論文 277 件、この内訳の 2.1%オランダ: 引用元論文 254 件、この内訳の 2%
0%34.1%その他 21.7%

機関

分野

  • Engineering43.5%
  • Computer Science32.6%
  • Environmental Science12.7%
  • Earth and Planetary Sciences2.3%
  • Social Sciences1.9%
  • Biochemistry, Genetics and Molecular Biology1.4%
  • その他5.6%

トピック

  • Remote-Sensing Image Classification14.7%
  • Remote Sensing and Land Use5.5%
  • Advanced Image and Video Retrieval Techniques5.5%
  • Remote Sensing in Agriculture4.3%
  • Domain Adaptation and Few-Shot Learning4%
  • Advanced Neural Network Applications3.8%
  • その他62.2%

共著者

全論文

検索で開く
  1. Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

    著者: Xiao Xiang Zhu, Devis Tuia, Lichao Mou, Gui-Song Xia, Liangpei Zhang, Feng Xu, Friedrich Fraundorfer - IEEE Geoscience and Remote Sensing Magazine 2017 被引用: 2,997

  2. DeepGlobe 2018: A Challenge to Parse the Earth Through Satellite Images

    著者: Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, Ramesh Raskar - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2018 被引用: 1,124

  3. Optimal Transport for Domain Adaptation

    著者: Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2015 被引用: 942

  4. Perspectives in machine learning for wildlife conservation

    著者: Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie Weygandt Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant Van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Berger‐Wolf - Nature Communications 2022 被引用: 653

  5. RSVQA: Visual Question Answering for Remote Sensing Data

    著者: Sylvain Lobry, Diego Marcos, Jesse Murray, Devis Tuia - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2020 被引用: 261

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

    著者: Devis Tuia, Claudio Persello, Lorenzo Bruzzone - IEEE Geoscience and Remote Sensing Magazine 2016 被引用: 601

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

    著者: Luis Gómez-Chova, Devis Tuia, Gabriele Moser, Gustau Camps-Valls - IEEE, Proc. IEEE 2015 被引用: 493

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

    著者: Gustavo Camps-Valls, Devis Tuia, Lorenzo Bruzzone, Jón Atli Benediktsson - IEEE Signal Processing Magazine, IEEE Signal Process. Mag. 2013 被引用: 753

  9. Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models

    著者: Diego Marcos, Michele Volpi, Benjamin Kellenberger, Devis Tuia - ISPRS Journal of Photogrammetry and Remote Sensing 2018 被引用: 278

  10. Detecting Mammals in UAV Images: Best Practices to address a substantially Imbalanced Dataset with Deep Learning

    著者: Benjamin Kellenberger, Diego Marcos, Devis Tuia - Remote Sensing of Environment 2018 被引用: 320

  11. Large Language Models for Captioning and Retrieving Remote Sensing Images

    著者: João Daniel Silva, João Magalhães, Devis Tuia, Bruno Martins - arXiv (Cornell University), CoRR 2024 被引用: 40

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

    著者: Devis Tuia, Michele Volpi, Loris Copa, Mikhail F. Kanevski, Jordi Muñoz-Marí - IEEE Journal of Selected Topics in Signal Processing, IEEE J. Sel. Top. Signal Process. 2011 被引用: 551

  13. Understanding urban landuse from the above and ground perspectives: a deep learning, multimodal solution

    著者: Shivangi Srivastava, John E. Vargas-Muñoz, Devis Tuia - Remote Sensing of Environment 2019 被引用: 169

  14. deSpeckNet: Generalizing Deep Learning-Based SAR Image Despeckling

    著者: Adugna G. Mullissa, Diego Marcos, Devis Tuia, Martin Herold, Johannes Reiche - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2020 被引用: 99

  15. Domain Adaptation with Regularized Optimal Transport

    著者: Nicolas Courty, Rémi Flamary, Devis Tuia - Lecture notes in computer science, ECML/PKDD (1) 2014 被引用: 171

  16. Rotation Equivariant Vector Field Networks

    著者: Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia - IEEE International Conference on Computer Vision (ICCV) 2017 被引用: 232

  17. A deep learning framework for matching of SAR and optical imagery

    著者: Lloyd Haydn Hughes, Diego Marcos, Sylvain Lobry, Devis Tuia, Michael Schmitt - ISPRS Journal of Photogrammetry and Remote Sensing 2020 被引用: 143

  18. Prompt-RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering

    著者: Christel Chappuis, Valérie Zermatten, Sylvain Lobry, Bertrand Le Saux, Devis Tuia - IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), CVPR Workshops 2022 被引用: 56

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

    著者: Giona Matasci, Michele Volpi, Mikhail F. Kanevski, Lorenzo Bruzzone, Devis Tuia - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2015 被引用: 224

  20. Active Learning Methods for Remote Sensing Image Classification

    著者: Devis Tuia, Frédéric Ratle, Fabio Pacifici, Mikhail F. Kanevski, William J. Emery - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2009 被引用: 496

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

    著者: Michele Volpi, Devis Tuia, Francesca Bovolo, Mikhail F. Kanevski, Lorenzo Bruzzone - International Journal of Applied Earth Observation and Geoinformation, Int. J. Appl. Earth Obs. Geoinformation 2011 被引用: 275

  22. Toward a Collective Agenda on AI for Earth Science Data Analysis

    著者: Devis Tuia, Ribana Roscher, Jan Dirk Wegner, Nathan Jacobs, Xiaoxiang Zhu, Gustau Camps-Valls - IEEE Geoscience and Remote Sensing Magazine 2021 被引用: 79

  23. Learning Multi-Label Aerial Image Classification Under Label Noise: A Regularization Approach Using Word Embeddings

    著者: Yuansheng Hua, Sylvain Lobry, Lichao Mou, Devis Tuia, Xiao Xiang Zhu - IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium 2020 被引用: 42

  24. Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

    著者: Michele Volpi, Devis Tuia - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2016 被引用: 502