Recent Publications

(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

(Feb 2021).
[Dataset] Subjective human thresholds over computer generated images. Zenodo.

Dataset DOI

See all publications

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

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 !