Bertrand Le Saux

Bertrand Le Saux publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Bertrand Le Saux sits on this spectrum.

Bertrand Le Saux D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Bertrand Le Saux sits on this spectrum.

Best Publications

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

  Nicolas Audebert;Bertrand Saux;Sébastien Lefèvre

  486
  Citations

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

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

  430
  Citations

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

  Nicolas Audebert;Bertrand Le Saux;Sébastien Lefèvre

  402
  Citations

• Multitask learning for large-scale semantic change detection

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

  381
  Citations

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

  Unknown

  376
  Citations

• Unstructured Point Cloud Semantic Labeling Using Deep Segmentation Networks.

  Unknown

  329
  Citations

• 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

  308
  Citations

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

  Nicolas Audebert;Bertrand Le Saux;Sébastien Lefèvre

  302
  Citations

• 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

  145
  Citations

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

  Unknown

  135
  Citations

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

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

  131
  Citations

• 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

  129
  Citations

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

  Nicolas Audebert;Bertrand Le Saux;Sebastien Lefevre

  120
  Citations

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

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

  111
  Citations

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

  Unknown

  99
  Citations

• 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

  80
  Citations

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

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

  78
  Citations

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

  Unknown

  76
  Citations

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

  Unknown

  73
  Citations

• 2019 Data Fusion Contest [Technical Committees]

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

  71
  Citations