Hi! I'm Thomas Robert, PhD Student in Deep Learning for Computer Vision.
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.
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.
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.
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
European Conference on Computer Vision (ECCV) (2018)
SHADE: Information-Based Regularization for Deep Learning
IEEE International Conference on Image Processing (ICIP) (2018) Best paper award