About Me

I'm currently pursuing a master's degree in Machine Learning and Computer Vision at ENS Paris-Saclay (Master MVA).

My research primarily focuses on computer vision, driven by the conviction that visual perception is fundamental to intelligence—both human and artificial.

I strongly support open-source practices, transparency, and reproducibility in research. Sharing my work openly to allow others to build upon it is central to my approach to science.

Professional Experiences

Academic Background

Research Projects

Here are some of the research school projects I've worked on (during my studies). View All Research Projects

Score-Based Generative Neural Networks for Large-Scale Optimal Transport

Max Daniels, Tyler Maunu, and Paul Hand, 2022.

I performed several experiments to evaluate the performance of the SCONES method on low-dimensional distributions.

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Test Time Training with Masked Autoencoders

Yossi Gandelsman, Yu Sun, Xinlei Chen, and Alexei A Efros, 2022

I extended the TTT-MAE method with an online version that shows better performance than the original method.

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Are Generative Classifiers More Robust to Adversarial Attacks?

Yingzhen Li, John Bradshaw, and Yash Sharma, 2019

We compared the robustness of generative classifiers to adversarial attacks with discriminative classifiers, and verified the hypothesis on a real-world setting.

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Toxic Gas Characterization

I worked on a project to characterize toxic gases using a deep learning model and adversarial unsupervised domain adaptation to improve the model's generalization.

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Convergence of SGD for Training Neural Networks with Sliced Wasserstein Losses

Eloi Tanguy, 2024

We empirically verified the convergence of SGD for training generative neural networks on 2D distributions and Fashion-MNIST using the Sliced Wasserstein loss.

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An End-to-End Transformer Model for 3D Object Detection

Ishan Misra, Rohit Girdhar, and Armand Joulin, 2021

We verified 3DETR's performance on the SUN RGB-D dataset. We trained a RGB variant of 3DETR and compare it to the original model.

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Some of my Recent Projects

Here are some of the projects I've worked on. Some are finished, some are still in progress.

Audio Visual Transcription

AVT is a tool that allows you to precisely subtitle your audio or video content in minutes, using OpenAI Whisper model.

Video Background Removal

A video background removal tool using Mobile SAM (Segment-Anything Model) to automatically segment and remove the background from videos.

Video Object Detection

Implementation of Google Owl-ViT's model for zero-shot object detection in videos using natural language prompts.

Contribution to joliGEN

I integrated edge detection methods into joliGEN (from ControlNET). I also added Segment-Anything Model from Meta for precise masking.

MathViz

MathViz is a Streamlit app that allows you to visualize concepts from Mathematics, Statistics, Machine Learning or Algorithms.

Wikipedia Graph

Scraping Wikipedia to create a structured graph of the concepts around a base word (in French). The output data can be loaded in Gephi to visualize the graph.

Word Ladder Generator

Word Ladder Generator is a game that generates the shortest path between two words by changing one letter at a time. In French.

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