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Nicolas Audebert

I am Computer Vision and Machine Learning reseracher with a focus on multi-modal data and remote sensing.

I hold a PhD in Computer Science from the University of South Brittany (France), prepared jointly between ONERA and IRISA, My thesis was supervised by Sébastien Lefèvre and Bertrand Le Saux. It dealt with deep neural networks (deep learning) for remote sensing image analysis and Earth Observation. Specifically, I have worked on convolutional neural networks for semantic labeling of airborne optical images (infrared, RGB and hyperspectral).

I am currently a research scientist in the industry.

I am interested in machine learning, algorithms and Python.

Take a look at my personal website for more information.

Javiera Castillo-Navarro   

Journal articles1 document

  • Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch, Nicolas Audebert, Sébastien Lefèvre. Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance suite, dataset analysis and multi-task network study. Machine Learning, Springer Verlag, In press. ⟨hal-03132924⟩

Conference papers1 document

  • Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre. What Data are needed for Semantic Segmentation in Earth Observation?. 2019 Joint Urban Remote Sensing Event (JURSE), May 2019, Vannes, France. pp.1-4, ⟨10.1109/JURSE.2019.8809071⟩. ⟨hal-02343915v2⟩