World's Best Scientists 2026 revealed!
Bertrand Le Saux

Bertrand Le Saux

D-Index & Metrics

Computer Science

D-Index
36
Citations
6047
World Ranking
11192
National Ranking
273

Best Publications

  • Deep Learning for Classification of Hyperspectral Data: A Comparative Review

    Nicolas Audebert;Bertrand Saux;Sébastien Lefèvre

  • Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

    Rodrigo Caye Daudt;Bertr Le Saux;Alexandre Boulch;Yann Gousseau

  • Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks

    Nicolas Audebert;Bertrand Le Saux;Sébastien Lefèvre

  • Multitask learning for large-scale semantic change detection

    Rodrigo Caye Daudt;Rodrigo Caye Daudt;Bertrand Le Saux;Alexandre Boulch;Yann Gousseau

  • SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks

    Unknown

  • Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks.

    Unknown

  • Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest

    Yonghao Xu;Bo Du;Liangpei Zhang;Daniele Cerra

  • Segment-before-detect: Vehicle detection and classification through semantic segmentation of aerial images

    Nicolas Audebert;Bertrand Le Saux;Sébastien Lefèvre

  • Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest

    Naoto Yokoya;Pedram Ghamisi;Junshi Xia;Sergey Sukhanov

  • On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification.

    Unknown

  • SHREC'17 Track: 3D Hand Gesture Recognition Using a Depth and Skeletal Dataset

    Quentin de Smedt;Hazem Wannous;Jean-Philippe Vandeborre;Joris Guerry

  • Processing of Extremely High-Resolution LiDAR and RGB Data: Outcome of the 2015 IEEE GRSS Data Fusion Contest-Part A: 2-D Contest

    Manuel Campos-Taberner;Adriana Romero-Soriano;Carlo Gatta;Gustau Camps-Valls

  • Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps

    Nicolas Audebert;Bertrand Le Saux;Sebastien Lefevre

  • 2018 IEEE GRSS Data Fusion Contest: Multimodal Land Use Classification [Technical Committees]

    Bertrand Le Saux;Naoto Yokoya;Ronny Hansch;Saurabh Prasad

  • Benchmarking classification of earth-observation data: From learning explicit features to convolutional networks

    Unknown

  • Semi-supervised semantic segmentation in Earth Observation: the MiniFrance suite, dataset analysis and multi-task network study

    Javiera Castillo-Navarro;Javiera Castillo-Navarro;Bertrand Le Saux;Alexandre Boulch;Nicolas Audebert

  • Multitemporal Very High Resolution From Space: Outcome of the 2016 IEEE GRSS Data Fusion Contest

    L. Mou;X. Zhu;M. Vakalopoulou;K. Karantzalos

  • SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics

    Unknown

  • Prompt–RSVQA: Prompting visual context to a language model for Remote Sensing Visual Question Answering

    Unknown

  • 2019 Data Fusion Contest [Technical Committees]

    Bertrand Le Saux;Naoto Yokoya;Ronny Hansch;Myron Brown

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