Duration: Sept 2022 - March 2023
Description: Stay In Motion aims to address the issue of physical inactivity among young people. The project involves creating an application where users can engage in sports sessions in a virtual environment, using real-time artificial intelligence to enhance the interaction.
Link: Stay In Motion Project
Duration: Sept 2021 - May 2022
Description: This project targets the lack of physical activity among young people by developing an application that combines physical activity sessions with a digital world, offering live feedback and guidance to users.
Link: Move On Progress Project
Duration: Sept 2020 - May 2021
Description: The R3G project supports research on early recognition of gestures in real-time. It involves the creation of a software suite to assist researchers in developing 2D and 3D gesture recognition engines.
Description: Project related to the paper "Early Action Detection at instance-level driven by a controlled CTC-Based Approach" (Submitted to TPAMI in 2023). Developed in Python (Tensorflow 2).
Link: Code
Link: Code
Description: The framework evaluates the performance of a model for online action recognition in videos. It includes the evaluation with various metrics and supports multi-fold evaluation. Developed in Python. Code available soon.
Link: Code
Description: This project implement the paper "Online Human Action Detection Using Joint Classification-Regression Recurrent Neural Networks" and "Multi-Modality Multi-Task Recurrent Neural Network for Online Action Detection". Developed in Python (Tensorflow 2).
Description: Project related to the paper "Early Recognition of Untrimmed Handwritten Gestures with Spatio-Temporal 3D CNN." (ICPR 2022) Developed in Python (Tensorflow 2).
Link: Code
Description: Project related to my paper "Online Spatio-Temporal 3D Convolutional Neural Network for Early Recognition of Handwritten Gestures." (ICDAR 2021) Developed in Python (Tensorflow 2).
Link: Code
Description: This project implement the paper "Skeleton-Based Online Action Prediction Using Scale Selection Network". Developed in Python (Tensorflow 2). Code available soon.
Description: This software allows to visualize in 3D the sequence of gestures, multi-view voxelization, ground truth, video RGB. Developed in Unity (C#).
Description: The goal of this study is to use Machine Learning algorithms for predicting the unique emoji associated with a tweet. We applied various text pre-processing methods to tweet text and experimented with different algorithms to produce the best prediction models.
Code: View Code
Report: View Report
Project Link: DERG3D Project
Description: Started during a project at INSA, I updated it during my PhD for the practical work of the "AMRG" module in the 5th year at INSA.
Duration: May 2019 - June 2019
Associated with VR2Planets
Description: Test of different interaction techniques with a marker (creation, movement, deletion) in a virtual environment, in VR.
Duration: Jan 2019 - Apr 2019
Description: Fourth-year module project focused on shape recognition. Created a complete chain for symbol recognition, including preprocessing, classification, and a demo application.
Duration: June 2018 - August 2018
Description: Developed an application to find products in a supermarket with an optimal path.
Description: Developed a small Android game for the launch of the film "La Bataille pour les Deux-Alpes" produced by a friend.
Google Play LinkDuration: Feb 2018 - May 2018
Description: Implemented AI for the game Mario using the A* algorithm to autonomously navigate levels.
Duration: Sept 2016 - April 2017
Description: Developed in 2017, this project was a grade management system that allowed teachers to organize, visualize grades, and statistics. For students, it provided a way to track their grades. Web developpement (Php, JS, SQL, html/css)