Rémi Lajugie

Ph.D.

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I am a graduated Ph.D. student. I did my Ph.D. in the SIERRA team, part of both Inria and École Normale Supérieure computer science department. I was advised by Sylvain Arlot and Francis Bach. My thesis work focused on statistical learning for structured signals (images, audio signals and others kind of sequential signals). More precisely I worked about how to learn similarity measures and decision functions for algorithms with complex outputs such as time warping. I defended on September, 18th, 2015.
Please note that this webpage is only there for archive purpose and is not updated anymore.

Publications

A Weakly-Supervised Discriminative Model for Audio-to-score Alignment
Rémi Lajugie, Piotr Bojanowski, Philippe Cuvillier, Sylvain Arlot, Francis Bach.
In Proc. International Conference on Accoustics, Speech and Signal Processing, 2016.
[paper] [HAL] [bibtex] [Code (alpha version)]
Instance-level video segmentation from object tracks
Guillaume Seguin, Piotr Bojanowski, Rémi Lajugie and Ivan Laptev
Proc. CVPR, 2016.
[paper] [bibtex] [HAL]
Prédiction structurée pour l'analyse de données séquentielles. Structured prediction for sequential data
Rémi Lajugie.
Tel Archives ouvertes.
[Phd Manuscript (in English)]
Weakly-Supervised Alignment of Video With Text
Piotr Bojanowski, Rémi Lajugie, Edouard Grave, Francis Bach, Ivan Laptev, Jean Ponce and Cordelia Schmid.
Proc. International Conference on Computer Vision, 2015.
[paper] [bibtex] [HAL] [arXiv]
Semidefinite and Spectral Relaxations for Multi-Label Classification
Rémi Lajugie, Piotr Bojanowski, Sylvain Arlot and Francis Bach.
Technical report (hal-01159321), 2015.
[paper] [bibtex] [GitHub] [HAL] [arXiv]
Learning the Metric for Aligning Temporal Sequences
Damien Garreau*, Rémi Lajugie*, Sylvain Arlot, Francis Bach.
In Proc. Neural Information Processing Systems 2014.
[paper] [bibtex]
* = authors contributed equally

Weakly Supervised Action Labeling in Videos Under Ordering Constraints
Piotr Bojanowski, Rémi Lajugie, Francis Bach, Ivan Laptev, Jean Ponce, Cordelia Schmid and Josef Sivic.
In Proc. European Conference on Computer Vision 2014.
[paper] [bibtex] [webpage] [poster]
Large Margin Metric Learning for Constrained Partitioning Problems
Rémi Lajugie, Sylvain Arlot and Francis Bach.
In Proc. International Conference on Machine Learning 2014.
[paper] [bibtex] [Matlab code (alpha version)]

Teaching

Cours d'apprentissage statistique, L3 course, filière maths-informatique, École Normale Supérieure, Teaching assistant, 2013.
Cours d'apprentissage statistique, M1 course, filière maths-informatique, École Normale Supérieure, Teaching assistant, 2014.