Computer vision researcher
I am a PhD student at Ecole des Ponts and AI resident @ Facebook AI Research (FAIR), where I work on computer vision and machine learning.
I am advised by Mathieu Aubry from École des Ponts and Camille Couprie from FAIR.
I'm interested in building computer vision algorithms that empower impactful products.
I'm interested in computer vision and machine learning.
During my PhD, I have worked on building algorithms designed for creative applications such as image generation and editing particularly for fashion, and visual metaphors creation.
I have also worked on learning image representations suited for image retrieval and few-shot classification.
Design inspiration from generative networks
Can an algorithm create original and compelling fashion designs to serve as an inspirational assistant ? To help answer this question, we design and investigate different image generation models and ways to improve novelty.
2018 - 2021
Ph.D. in computer vision and machine learning
Facebook AI Research & Ecole des Ponts
2016 - 2017
MSc. MVA - Applied Maths to Vision and Language
Ecole des Ponts & ENS Cachan, France
2013 - 2017
Master of engineering in computer science
Ecole des Ponts et Chaussées, France
2011 - 2013
Advanced Mathematics, physics and engineering
Moulay Youssef CPGE, Rabat, Morocco
Sep 2015-Jul 2016 - Renault Nissan Silicon Valley Research Center
For racing fans, having an aerial video of their performance is exciting.
We built an iOS app for following and filming a car on a race track using a DJI Inspire 1 drone.
From real time trajectory planning, to drone flight control and visual tracking of the car, it was an exciting and challenging project that I had the opportunity to work on for 10 months.
KriDari - Vacation home rental platform
Machine learning: PyTorch, Tensorflow, Matlab, R
HTML, CSS, Node.js, Express, Ruby-on-Rails, php