Bio

I am a third year Ph.D. student at Sierra and Willow. I am supervised by Simon Lacoste-Julien, Ivan Laptev and Josef Sivic. I graduated from Ecole polytechnique and Telecom ParisTech in 2015 and got a Masters Degree in Mathematics, Machine Learning and Computer Vision (MVA). My work focuses on structured learning from video and natural language. More details can be found in my resume.

Publications

SeaRnn: Training RNNs with Global-Local Losses
Rémi Leblond*, Jean-Baptiste Alayrac*, Anton Osokin and Simon Lacoste-Julien.
Accepted to ICLR 2018. *equal contribution.
Joint Discovery of Object States and Manipulation Actions
Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev and Simon Lacoste-Julien.
In Proc. ICCV 2017.
Learning from narrated instruction videos
Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Ivan Laptev, Josef Sivic and Simon Lacoste-Julien.
In TPAMI 2017 (Journal version of Unsupervised learning from narrated instruction videos)
Learning from Video and Text via Large-Scale Discriminative Clustering
Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski, Ivan Laptev and Josef Sivic.
In Proc. ICCV 2017 (Spotlight).
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
Jean-Baptiste Alayrac*, Anton Osokin*, Isabella Lukasewitz, Puneet K. Dokania and Simon Lacoste-Julien.
In Proc. ICML 2016. *equal contribution.
Unsupervised learning from narrated instruction videos
Jean-Baptiste Alayrac, Piotr Bojanowski, Nishant Agrawal, Ivan Laptev, Josef Sivic and Simon Lacoste-Julien.
In Proc. CVPR 2016 (Oral).

Teaching

Statistical machine learning - Master M1 - Ecole normale supérieure, TA, 2015-2016.
1M001 : Analyse et algèbre pour les sciences, Universite Pierre et Marie Curie, TA, 2014-2016.
1M004 : Calcul matriciel, Universite Pierre et Marie Curie, TA, 2014-2016.
2M223 : Algèbre bilinéaire et géométrie, Universite Pierre et Marie Curie, TA, 2014-2015.

Other projects

Simple sketch recognizer used in an exhibition at Palais de la Découverte.