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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.


"Kyle Bradbury"   

Conference papers1 document

  • Bohao Huang, Kangkang Lu, Nicolas Audebert, Andrew Khalel, Yuliya Tarabalka, et al.. Large-scale semantic classification: outcome of the first year of Inria aerial image labeling benchmark. IGARSS 2018 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2018, Valencia, Spain. pp.1-4, ⟨10.1109/IGARSS.2018.8518525⟩. ⟨hal-01767807⟩