Jean-Baptiste Alayrac (original) (raw)
Ph.D. student
Sierra and Willow team
Centre de recherche Inria de Paris
2 rue Simone IFF - CS 42112
75589 Paris Cedex 12
France
Bio
I am a fourth year Ph.D. student at Sierra andWillow. I am supervised bySimon Lacoste-Julien,Ivan Laptev andJosef 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 myresume.
Publications
A Flexible Model for Training Action Localization with Varying Levels of Supervision
Accepted to NIPS 2018. *equal contribution.
[arXiv] [webpage (soon)] [GitHub (soon)] [bibtex]
@InProceedings{actoraction18, author = {Ch'eron, Guilhem and Alayrac, Jean-Baptiste and Laptev, Ivan and Schmid, Cordelia}, title = {A Flexible Model for Training Action Localization with Varying Levels of Supervision}, booktitle = {Neural Information Processing Systems (NIPS)}, year = {2018} }
SeaRnn
: Training RNNs with Global-Local Losses
Rémi Leblond*, Jean-Baptiste Alayrac*, Anton Osokin and Simon Lacoste-Julien.
Accepted to ICLR 2018. *equal contribution.
[paper] [arXiv] [webpage] [GitHub] [workshop version] [bibtex]
@InProceedings{searnn18, author = {Leblond, R'emi and Alayrac, Jean-Baptiste and Osokin, Anton and Lacoste-Julien, Simon}, title = {\textsc{SeaRnn}: Training RNNs with Global-Local Losses}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018} }
Joint Discovery of Object States and Manipulation Actions
Jean-Baptiste Alayrac, Josef Sivic, Ivan Laptev and Simon Lacoste-Julien.
In Proc. ICCV 2017.
[paper] [arXiv] [poster] [webpage] [GitHub] [bibtex]
@InProceedings{alayrac16objectstates, author = {Alayrac, Jean-Baptiste and Sivic, Josef and Laptev, Ivan and Lacoste-Julien, Simon}, title = {Joint Discovery of Object States and Manipulation Actions}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {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).
[paper] [arXiv] [GitHub] [bibtex]
@InProceedings{miech17learning, author = {Miech, Antoine and Alayrac, Jean-Baptiste and Bojanowski, Piotr and Laptev, Ivan and Sivic, Josef}, title = {Learning from Video and Text via Large-Scale Discriminative Clustering}, booktitle = {International Conference on Computer Vision (ICCV)}, year = {2017} }
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.
[paper] [poster] [HAL] [arXiv] [bibtex] [webpage] [GitHub]
@InProceedings{osokin16gapsFW, author = {Osokin, Anton and Alayrac, Jean-Baptiste and Lukasewitz, Isabella and Dokania, Puneet K. and Lacoste-Julien, Simon}, title = {Minding the Gaps for Block {F}rank-{W}olfe Optimization of Structured {SVM}s}, booktitle = {Proceedings of The 33rd International Conference of Machine Learning (ICML)}, year = {2016} }
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).
[talk] [paper] [slides] [poster] [HAL] [arXiv] [bibtex] [webpage] [GitHub]
@InProceedings{alayrac16unsupervised, author = {Alayrac, Jean-Baptiste and Bojanowski, Piotr and Agrawal, Nishant and Laptev, Ivan and Sivic, Josef and Lacoste-Julien, Simon}, title = {Unsupervised Learning from Narrated Instruction Videos}, booktitle = {Computer Vision and Pattern Recognition (CVPR)}, year = {2016} }
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.