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

I started my PhD on November 2016, and I am supervised by Matthieu Cord and Nicolas Thome at the LIP6 (UPMC Paris 6 / Sorbonne Universités)


Our team

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

Research context

I am working on the DeepVision project, which is a research partnership between French and Canadian teams funded by the ANR (France) and NSERC (Canada). This project involves the LIP6 / UPMC (France) with Matthieu Cord, the LIRIS / INSA Lyon (France) with Christian Wolf, the Simon Fraser University (Canada) with Greg Mori and the University of Guelph (Canada) with Graham Taylor.

Research interests

My thesis is focused visual information modelling. In particular, I have worked on separating class-relevant and class-irrelevant information in convolutional neural networks in the context of semi-supervised image classification. I am currently working on information disentangling for generative purposes.

Recent work

HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning

T. Robert, N. Thome, M. Cord

European Conference on Computer Vision (ECCV) (2018)


SHADE: Information-Based Regularization for Deep Learning

M. Blot, T. Robert, N. Thome, M. Cord

IEEE International Conference on Image Processing (ICIP) (2018) Best paper award


M2CAI workflow challenge: classification of surgical operation steps based on endosopic videos

R. Cadene, T. Robert, N. Thome, M. Cord

M2CAI workshop @ MICCAI (2016) 2nd best model submitted to the challenge

Technical paper Slides

VISIIR: deep learning for recipe image classification

T. Robert, R. Cadene, N. Thome, M. Cord

(2016) Unpublised extension of published work

Project website & Demo Related publication

DjLu: an open-source tool to organize your bibliography

T. Robert, M. Carvalho, R. Cadene

GitHub (2016)

Website Code


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

Neural Networks and Deep Learning for Pattern Recognition

RDFIA Course, M2 students (22h)

Course page

Practical Introduction to Deep Learning for Image Classification

Multimedia Course, Polytech M2 students (16h)

Course page

Java and Object-Oriented Programming

2I002 Course, L2 students (50h)

Course page

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

BIMA Course, M1 students (8h)

Course page Data for practical session