GithubHelp home page GithubHelp logo

👋 Hello there!

Main building of IGN in Saint-Mandé, near Paris.

I'm Nicolas Audebert (*he/him*), PhD, junior research director in Artificial Intelligence. In short, I am a computer scientist and computer vision/machine learning researcher.

Most of the time, you can find me at work at the French National Institute of Geographical and Forest Information (IGN) in the LASTIG laboratory, just outside of the French capital. I lead a research project on the design and application of better generative models for Earth Observation data.

I was previously an associate professor at Conservatoire national des arts et métiers and am currently on leave from this position.

🌐 Website — 🖥️ Previous laboratory page — 📜 Publications on Google Scholar

🔭 What do I do

  • My work deals with learning effective representations of images and signals so that computers can process them efficiently for high-level tasks.
  • I focus on computer vision using deep learning approaches, although I also dabble in applications of machine learning for games.
  • Most of the applications I am currently interested in are related to Earth Observation and satellite imagery: how can we become better and faster at mapping the planet?

📫 Contact me

I am available via a plethora of means: email, snail mail, phone. You can find me on Twitter and on LinkedIn. Check out my website to find out more on how to contact me. If you cold email me, be sure to include why I am relevant to your request!

⚡ Fun stuff

In my spare time, I like to play tabletop role-playing games 🎲, video games 🎮, read comics and fictions 📚. I've also recently picked-up theater as a hobby! 🎭

Nicolas Audebert's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

deephyperx icon deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

enpc-algo icon enpc-algo

Cours d'algorithmique et de structure de données (ENPC 1A)

enpc-cpp icon enpc-cpp

Slides du cours de C++ à l'École Nationale des Ponts et Chaussées

hypergans icon hypergans

Generative Adversarial Networks for synthetic hyperspectral data generation.

map icon map

Carte des anciens Rézomen dans le monde

pixel_link icon pixel_link

Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

shapes icon shapes

Simple to complex shape generation

sphinx-ext-eqt icon sphinx-ext-eqt

A sphinx extension to integrate multiple choices questionnaires

tfgad icon tfgad

Guided Anisotropic Diffusion in Tensorflow

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.