Recent Publications

(Jan 2022).
[Thesis] Machine learning methods for noise detection in computer generated images.

PDF Slides

(Dec 2021).
[Conference] Guided-Generative Network for noise detection in Monte-Carlo rendering. ICMLA 2021.

PDF Code Dataset

(Sep 2021).
[Poster] Comparison of threshold measurements in laboratory and online studies using a Quest+ algorithm. Journal of Vision September - Vision Sciences Society.

DOI

(Jun 2021).
[Conference Paper] Firefly Removal in Monte Carlo Rendering with Adaptive Median of meaNs. Eurographics Symposium on Rendering, Saarbrücken, Germany.

PDF Project DOI

(Mar 2021).
[Journal, Software] Minimalist And Customisable Optimisation Package. The Journal of Open Source Software.

PDF Code Project Source Document DOI

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Recent & Upcoming Talks

Toward a noise perception model for photorealistic image synthesis.
Dec 10, 2020 2:00 PM — 3:00 PM Webinar
Slides

Toward a noise perception model for photorealistic image synthesis.
Jul 7, 2020 10:00 AM — 10:30 AM Webinar
Slides

Sharing of the progress of the thesis during the seminar for the ANR Prise3D.
Mar 18, 2019 10:00 AM — 4:00 PM ULCO, Calais - France
Slides

Teaching

All courses given during thesis

Courses

2021 - 2022

  • License 1 (first year degree in IT) : Algorithmic (in Python)
  • License 3 (third year degree in IT) : Advanced OOP (in C++)
  • License 3 (third year degree in IT) : Software engineering
  • License 3 (third year degree in IT) : End year project: web interface with backend development
  • Master 1 (fourth year degree in IT) : Agility
  • Master 1 (fourth year degree in IT) : AI project: Reinforcement Learning methods in game

2020 - 2021

2019 - 2020

  • DUT 1 (first year degree in IT) : Algorithmic (in Python)
  • DUT 1 (first year degree in IT) : Begin of OOP with Java
  • DUT 2 (second year degree in IT) : Artificial Intelligence
  • License 2 (second year degree in IT) : Advanced algorithmic with OOP (in C++)

2018 - 2019

  • DUT 1 (first year degree in IT) : Begin of OOP with Java
  • License 1 (first year degree in IT) : Algorithmic (in C)
  • License 2 (second year degree in IT) : Advanced algorithmic with OOP (in C++)

Others

Skills

AI

80%

Statistics

70%

Development

90%

Projects

Most important projects developed

*
All Artificial Intelligence Machine Learning Operations research School

Minimalist And Customisable Optimisation Package

Image Processing For Machine Learning is a Python package developed during my thesis.

Adaptive Operator Selection into the MOEA/D algorithm. This AOS called FRRMAB_DK is based on MAB algorithm for each sub problem with shares of information.

Second version of photo album QAP using ParadisEO C++ library in order to make statistics faster (MOEA/D, NSGA-II, Adaptative Operator Selection).

Abstract simple implementation of Monte Carlo Tree Search (UCT) using Upper Confidence Bound (UCB) algorithm developed in C++. An example is available to show how implements it.

Contact

For any questions !

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