Quentin Barthélemy

Alexandre Allauzen

CoRR, 2024

The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Leveraging Unsupervised and Self-Supervised Learning for Video Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

pyRiemann/pyRiemann: v0.3.

[BibT_eX]

[DOI]

Pedro L. C. Rodrigues

Emanuele Olivetti

Vladislav Goncharenko

Gabriel Wagner vom Berg

Marie-Constance Corsi

Dataset, July, 2022

Perimeter Intrusion Detection by Video Surveillance: A Survey.

[BibT_eX]

[DOI]

Sensors, 2022

End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities.

[BibT_eX]

[DOI]

Raphaëlle Bertrand-Lalo

Pierre Clisson

CoRR, 2022

Unsupervised and Adaptive Perimeter Intrusion Detector.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCI.

[BibT_eX]

[DOI]

Neuroinformatics, 2021

Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection.

[BibT_eX]

[DOI]

Proceedings of the Reproducible Research in Pattern Recognition, 2021

Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020

Geodesically-convex optimization for averaging partially observed covariance matrices.

[BibT_eX]

[DOI]

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2018

Transfer Learning for SSVEP-based BCI Using Riemannian Similarities Between Users.

[BibT_eX]

[DOI]

Emmanuel K. Kalunga

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations.

[BibT_eX]

[DOI]

Signal Process., 2017

2016

Online SSVEP-based BCI using Riemannian geometry.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Color Sparse Representations for Image Processing: Review, Models, and Prospects.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - Second International Conference, 2015

2014

About QLMS Derivations.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2014

Decomposition and dictionary learning for 3D trajectories.

[BibT_eX]

[DOI]

Signal Process., 2014

Subspace metrics for multivariate dictionaries and application to EEG.

[BibT_eX]

[DOI]

Jamal Atif

Proceedings of the IEEE International Conference on Acoustics, 2014

On the need for metrics in dictionary learning assessment.

[BibT_eX]

[DOI]

Jamal Atif

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Multivariate Temporal Dictionary Learning for EEG

[BibT_eX]

[DOI]

CoRR, 2013

Metrics for Multivariate Dictionaries

[BibT_eX]

[DOI]

Jamal Atif

CoRR, 2013

Multi-dimensional sparse structured signal approximation using split bregman iterations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Shift & 2D Rotation Invariant Sparse Coding for Multivariate Signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Preprocessing for classification of sparse data: Application to trajectory recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

From neuronal cost-based metrics towards sparse coded signals classification.

[BibT_eX]

[DOI]

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

3D Rotation Invariant Decomposition of Motion Signals.

[BibT_eX]

[DOI]