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6

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.


Alexandre Boulch   

Journal articles2 documents

  • Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre. Distance transform regression for spatially-aware deep semantic segmentation. Computer Vision and Image Understanding, Elsevier, 2019, 189, pp.102809. ⟨10.1016/j.cviu.2019.102809⟩. ⟨hal-02277621⟩
  • Alexandre Boulch, Joris Guerry, Bertrand Le Saux, Nicolas Audebert. SnapNet: 3D point cloud semantic labeling with 2D deep segmentation networks. Computers and Graphics, Elsevier, 2017, 71, pp.189-198. ⟨10.1016/j.cag.2017.11.010⟩. ⟨hal-02467932⟩

Conference papers4 documents

  • Javiera Castillo-Navarro, Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, S. 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⟩
  • Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre. Segmentation sémantique profonde par régression sur cartes de distances signées. Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP), Jun 2018, Marne-la-Vallée, France. ⟨hal-01809991⟩
  • 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⟩
  • Nicolas Audebert, Alexandre Boulch, Hicham Randrianarivo, Bertrand Le Saux, Marin Ferecatu, et al.. Deep learning for urban remote sensing. Joint Urban Remote Sensing Event (JURSE), Mar 2017, Dubai, United Arab Emirates. ⟨10.1109/JURSE.2017.7924536⟩. ⟨hal-01672854⟩