Hi! I'm Thomas Robert, PhD Student in Deep Learning for Computer Vision.

I am advised by Matthieu Cord and Nicolas Thome at the LIP6 (UPMC Paris 6 / Sorbonne Universités)


I am working at the Pierre and Marie Curie University in Paris, at the LIP6 lab, in the MLIA team managed by Patrick Gallinari and under the supervision of Matthieu Cord and Nicolas Thome. Matthieu Cord’s team is focusing on Computer Vision research and is of course taking the deep learning turn.

My research interests are broad and goes from supervised deep learning for image classification to semantic representation learning for text and images and deep recurrent neural networks. But currently, I am focusing on semi-supervised learning for image classification and generative models of images (VAE, GAN, RBM, etc.).


During my PhD, I am teaching assistant on various classes at the University Pierre and Marie Curie (UPMC). I am teaching:

Java and Object-Oriented Programming

2I002 Course, L2 students (30h)

Course page

Neural Networks and Deep Learning for Pattern Recognition

RDFIA Course, M2 students (10h)

Course page

Practical Introduction to Deep Learning for Image Classification

Multimedia Course, Polytech M2 students (8h)

Course page

Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA)

BIMA Course, M1 students (8h)

Course page Data for practical session