Contact

Inria
2 Rue Simone IFF
75012 Paris
France

E-mail:
{firstname} . {unaccented_lastname} @inria.fr

Resume

[CV.pdf]

I am a PhD student at École Normale Supérieure (ENS) and Inria in the WILLOW and THOTH (former LEAR) project-teams. I am supervised by Cordelia Schmid and Ivan Laptev and funded by the Microsoft Research-Inria joint center.

I am currently visiting Microsoft Reseach in Cambridge surpervised by Andrew Fitzgibbon. I was intern in the same lab in 2016.

WILLOW is a joint research team between Inria Paris, École Normale Supérieure and CNRS.
THOTH is a joint research team between Inria Grenoble Rhône-Alpes and Laboratoire Jean Kuntzmann.

I received a Master's Degree in Mathematics, Machine Learning and Computer Vision (MVA) from ENS Cachan. Previously, I graduated from École Supérieure d'Ingénieurs de Rennes (ESIR) and Université de Rennes 1 with an Engineering Degree in Computer Vision and Computer Graphics.

I work in the fields of Computer Vision and Machine Learning while my research interest focuses on video understanding and related learning problems.

When I was a young student from the beautiful city of Rennes, I established a website dedicated to my very first works on Computer Graphics and Computer Vision.

Publications

A flexible model for training action localization with varying levels of supervision
Guilhem Chéron, Jean-Baptiste Alayrac, Ivan Laptev and Cordelia Schmid.
In NIPS 2018 - Advances In Neural Information Processing Systems, Dec 2018, Montréal, Canada
Modeling Spatio-Temporal Human Track Structure for Action Localization
Guilhem Chéron, Anton Osokin, Ivan Laptev and Cordelia Schmid.
Submitted to IJCV
P-CNN: Pose-based CNN Features for Action Recognition
Guilhem Chéron, Ivan Laptev and Cordelia Schmid.
In ICCV 2015 - IEEE International Conference on Computer Vision, Dec 2015, Santiago, Chile