Quentin Barthélemy

38 papers A* 2A 1B 2C 1Misc 2Journal 22Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improved Riemannian potato field: an Automatic Artifact Rejection Method for EEG. Biomed. Signal Process. Control. Davoud Hajhassani, Quentin Barthélemy, Jérémie Mattout, Marco Congedo
2026	J	`jnl`	UNet-AF: An alias-free UNet for image restoration. CoRR Jérémy Scanvic, Quentin Barthélemy, Julián Tachella
2025	A	`conf`	Bridging the Theoretical Gap in Randomized Smoothing. AISTATS Blaise Delattre, Paul Caillon, Quentin Barthélemy, Erwan Fagnou, Alexandre Allauzen
2025	J	`jnl`	Bridging the Theoretical Gap in Randomized Smoothing. CoRR Blaise Delattre, Paul Caillon, Quentin Barthélemy, Erwan Fagnou, Alexandre Allauzen
2025	J	`jnl`	Equivariant Splitting: Self-supervised learning from incomplete data. CoRR Victor Sechaud, Jérémy Scanvic, Quentin Barthélemy, Patrice Abry, Julián Tachella
2025	J	`jnl`	Translation-Equivariance of Normalization Layers and Aliasing in Convolutional Neural Networks. CoRR Jérémy Scanvic, Quentin Barthélemy, Julián Tachella
2024	J	`jnl`	Spectral Norm of Convolutional Layers with Circular and Zero Paddings. CoRR Blaise Delattre, Quentin Barthélemy, Alexandre Allauzen
2024	A*	`conf`	The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing. ICLR Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen
2023	A*	`conf`	Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration. ICML Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen
2023	J	`jnl`	Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration. CoRR Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen
2023	—	`conf`	Leveraging Unsupervised and Self-Supervised Learning for Video Anomaly Detection. VISIGRAPP (5: VISAPP) Devashish Lohani, Carlos Fernando Crispim Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne Rodet
2023	J	`jnl`	The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing. CoRR Blaise Delattre, Alexandre Araujo, Quentin Barthélemy, Alexandre Allauzen
2022	J	`jnl`	End-to-end P300 BCI using Bayesian accumulation of Riemannian probabilities. CoRR Quentin Barthélemy, Sylvain Chevallier, Raphaëlle Bertrand-Lalo, Pierre Clisson
2022	J	`jnl`	Perimeter Intrusion Detection by Video Surveillance: A Survey. Sensors Devashish Lohani, Carlos Fernando Crispim Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne
2022	B	`conf`	Unsupervised and Adaptive Perimeter Intrusion Detector. ICIP Devashish Lohani, Carlos Fernando Crispim Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne Rodet
2021	—	`conf`	Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning. NER Salim Khazem, Sylvain Chevallier, Quentin Barthélemy, Karim Haroun, Camille Noûs
2021	J	`jnl`	Minimizing subject-dependent calibration for BCI with Riemannian transfer learning. CoRR Salim Khazem, Sylvain Chevallier, Quentin Barthélemy, Karim Haroun, Camille Noûs
2021	J	`jnl`	Review of Riemannian Distances and Divergences, Applied to SSVEP-based BCI. Neuroinformatics Sylvain Chevallier, Emmanuel K. Kalunga, Quentin Barthélemy, Éric Monacelli
2021	—	`conf`	Spatio-Temporal Convolutional Autoencoders for Perimeter Intrusion Detection. RRPR Devashish Lohani, Carlos Fernando Crispim Junior, Quentin Barthélemy, Sarah Bertrand, Lionel Robinault, Laure Tougne
2020	C	`conf`	Geodesically-convex optimization for averaging partially observed covariance matrices. ACML Florian Yger, Sylvain Chevallier, Quentin Barthélemy, Suvrit Sra
2018	—	`conf`	Transfer Learning for SSVEP-based BCI Using Riemannian Similarities Between Users. EUSIPCO Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthélemy
2017	J	`jnl`	Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations. Signal Process. Yoann Isaac, Quentin Barthélemy, Cédric Gouy-Pailler, Michèle Sebag, Jamal Atif
2016	J	`jnl`	Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations. CoRR Yoann Isaac, Quentin Barthélemy, Cédric Gouy-Pailler, Michèle Sebag, Jamal Atif
2016	J	`jnl`	Online SSVEP-based BCI using Riemannian geometry. Neurocomputing Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthélemy, Karim Djouani, Éric Monacelli, Yskandar Hamam
2015	J	`jnl`	Color Sparse Representations for Image Processing: Review, Models, and Prospects. IEEE Trans. Image Process. Quentin Barthélemy, Anthony Larue, Jérôme I. Mars
2015	—	`conf`	From Euclidean to Riemannian Means: Information Geometry for SSVEP Classification. GSI Emmanuel K. Kalunga, Sylvain Chevallier, Quentin Barthélemy, Karim Djouani, Yskandar Hamam, Éric Monacelli
2014	J	`jnl`	About QLMS Derivations. IEEE Signal Process. Lett. Quentin Barthélemy, Anthony Larue, Jérôme I. Mars
2014	J	`jnl`	Decomposition and dictionary learning for 3D trajectories. Signal Process. Quentin Barthélemy, Anthony Larue, Jérôme I. Mars
2014	—	`conf`	On the need for metrics in dictionary learning assessment. EUSIPCO Sylvain Chevallier, Quentin Barthélemy, Jamal Atif
2014	Misc	`conf`	Subspace metrics for multivariate dictionaries and application to EEG. ICASSP Sylvain Chevallier, Quentin Barthélemy, Jamal Atif
2013	J	`jnl`	Metrics for Multivariate Dictionaries CoRR Sylvain Chevallier, Quentin Barthélemy, Jamal Atif
2013	J	`jnl`	Multi-dimensional sparse structured signal approximation using split Bregman iterations CoRR Yoann Isaac, Quentin Barthélemy, Jamal Atif, Cédric Gouy-Pailler, Michèle Sebag
2013	Misc	`conf`	Multi-dimensional sparse structured signal approximation using split bregman iterations. ICASSP Yoann Isaac, Quentin Barthélemy, Jamal Atif, Cédric Gouy-Pailler, Michèle Sebag
2013	J	`jnl`	Multivariate Temporal Dictionary Learning for EEG CoRR Quentin Barthélemy, Cédric Gouy-Pailler, Yoann Isaac, Antoine Souloumiac, Anthony Larue, Jérôme I. Mars
2012	—	`conf`	3D Rotation Invariant Decomposition of Motion Signals. ECCV Workshops (3) Quentin Barthélemy, Anthony Larue, Jérôme I. Mars
2012	B	`conf`	From neuronal cost-based metrics towards sparse coded signals classification. ESANN Anthony Mouraud, Quentin Barthélemy, Aurélien Mayoue, Cédric Gouy-Pailler, Anthony Larue, Hélène Paugam-Moisy
2012	—	`conf`	Preprocessing for classification of sparse data: Application to trajectory recognition. SSP Aurélien Mayoue, Quentin Barthélemy, S. Onis, Anthony Larue
2012	J	`jnl`	Shift & 2D Rotation Invariant Sparse Coding for Multivariate Signals. IEEE Trans. Signal Process. Quentin Barthélemy, Anthony Larue, Aurélien Mayoue, David Mercier, Jérôme I. Mars