I’m a PhD student in Deep Learning at the LIP6 lab (Sorbonne University, Paris).
I work on deep learning for computer vision under the supervision of Matthieu Cord and Nicolas Thome. I will defend my PhD in autumn 2019.
This page is a quick overview of me. For more details, please see my resume.
I started coding 10 years ago through web development and keep working on it has a hobby
It's an incredible tool to solve complex problems
I am looking for innovative research & development projects using deep learning
That's why I did a PhD and taught at my university
I am working at Sorbonne University (previously Pierre and Marie Curie University) in Paris, at the LIP6 lab, in the MLIA team managed by Patrick Gallinari. My PhD research was done under the supervision of Matthieu Cord and Nicolas Thome. My thesis is focused on improving latent representations of images, in particular to improve classification by deep convolutional neural networks. To this end, we worked on regularizing latent representation to improve their invariance (SHADE). We then proposed a new way to structure the representations by using two complementary spaces. First, we proposed HybridNet that uses a first class-invariant latent space for classification and a second complementary latent space with instance related information, improving the classification results in the context of semi-supervised learning based on reconstruction. Then, we proposed DualDis that learns to disentangle two information domains, i.e. person identity and visual attributes (glasses, hair style, etc.). This is done with two latent spaces, one for each domain, that can then be manipulated to change the information represented and produce new images using a decoder.
Under review at Neural Information Processing Systems (NeurIPS) (2019)
European Conference on Computer Vision (ECCV) (2018)
IEEE International Conference on Image Processing (ICIP) (2018) Best paper award
M2CAI workshop @ MICCAI (2016) 2nd best model submitted to the challenge
(2016) Unpublised extension of published work
LIP6 lab, Sorbonne University • Paris, France
Supervised by Matthieu Cord and Nicolas Thome
INSA Rouen & University of Rouen
Master’s degree (“diplôme d’ingénieur”) in Data Science &
Master’s degree in Multimedia Information Processing System
Conviva • San Francisco Bay, California, USA
Work on various research problems about video streaming quality optimization using data science
