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
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.
A Weakly-Supervised Discriminative Model for Audio-to-score Alignment
In Proc. International Conference on Accoustics, Speech and Signal Processing, 2016.
Instance-level video segmentation from object tracks
Proc. CVPR, 2016.
Prédiction structurée pour l'analyse de données séquentielles. Structured prediction for sequential data
Tel Archives ouvertes.
Weakly-Supervised Alignment of Video With Text
Proc. International Conference on Computer Vision, 2015.
Semidefinite and Spectral Relaxations for Multi-Label Classification
Technical report (hal-01159321), 2015.
Learning the Metric for Aligning Temporal Sequences
In Proc. Neural Information Processing Systems 2014.
* = authors contributed equally
Weakly Supervised Action Labeling in Videos Under Ordering Constraints
In Proc. European Conference on Computer Vision 2014.
Large Margin Metric Learning for Constrained Partitioning Problems
In Proc. International Conference on Machine Learning 2014.