2 Rue Simone IFF
75012 Paris

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I am currently leading the Machine Learning team at JulesSAS, Rennes, France.

I received my PhD from École Normale Supérieure (ENS) under the supervision of Cordelia Schmid and Ivan Laptev. I was part of the WILLOW and THOTH (former LEAR) Inria project-teams. I was funded by the Microsoft Research-Inria joint center.

In 2018-2019, was visiting Microsoft Reseach in Cambridge surpervised by Andrew Fitzgibbon. I was intern in the same lab in 2016.

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.


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

PhD Thesis

Structured modeling and recognition of human actions in video
Guilhem Chéron.
École Normale Supérieure, Dec 2018