Christophe Kervazo

According to our database, Christophe Kervazo authored at least 23 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SCALMU: Synthetically-trained Coupling of Adaptive Learned Multiplicative Updates for Hyperspectral-Multispectral Fusion.

Xinxin Xu, Yann Gousseau, Christophe Kervazo, Saïd Ladjal

CoRR, May, 2026

Super-résolution non supervisée d'images hyperspectrales de télédétection utilisant un entraînement entièrement synthétique.

Xinxin Xu, Yann Gousseau, Christophe Kervazo, Saïd Ladjal

CoRR, February, 2026

Synthetic Abundance Maps for Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images.

Xinxin Xu, Yann Gousseau, Christophe Kervazo, Saïd Ladjal

CoRR, January, 2026

A generative learned unrolling algorithm for Poisson source separation applied to gamma-ray spectrometry.

Jonathan Kern, Dinh Triem Phan, Wenjia Fang, Christophe Kervazo, Christophe Bobin, Jérôme Bobin

Signal Process., 2026

Distortion-Guided Learning for Opinion-Unaware No-Reference Image Quality Assessment in Low Dose CT.

Quentin Bourbon, Elsa D. Angelini, Thomas Benseghir, Christophe Kervazo, Saïd Ladjal

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2024

Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry.

Mostafa Cherif, Tobías I. Liaudat, Jonathan Kern, Christophe Kervazo, Jérôme Bobin

CoRR, 2024

Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images Using Fully Synthetic Training.

Xinxin Xu, Yann Gousseau, Christophe Kervazo, Saïd Ladjal

Proceedings of the 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2024

Deep-Learning Uncertainty Estimation for Data-Consistent Breast Tomosynthesis Reconstruction.

Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Wavelet-Based Sparse Non-Negative Matrix Factorization for Bioluminescent Imaging Unmixing.

Erwan Dereure, Christophe Kervazo, Johanne Seguin, Anikitos Garofalakis, Nathalie Mignet, Elsa D. Angelini, Jean-Christophe Olivo-Marin

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Deep Unrolling of the Multiplicative Updates Algorithm for Blind Source Separation, with Application to Hyperspectral Unmixing.

Christophe Kervazo, Abdelkhalak Chetoui, Jérémy E. Cohen

Proceedings of the 32nd European Signal Processing Conference, 2024

Generating Synthetic Data to Train a Deep Unrolled Network for Hyperspectral Unmixing.

Rassim Hadjercs, Christophe Kervazo, Florence Tupin

Proceedings of the 32nd European Signal Processing Conference, 2024

Unsupervised Radiometric Change Detection from Synthetic Aperture Radar Images.

Thomas Bultingaire, Inès Meraoumia, Christophe Kervazo, Loïc Denis, Florence Tupin

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction.

Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal

Proceedings of the Medical Imaging with Deep Learning, 2023

Sparse Non-Negative Matrix Factorization for Preclinical Bioluminescent Imaging.

Erwan Dereure, Christophe Kervazo, Johanne Seguin, Anikitos Garofalakis, Nathalie Mignet, Elsa D. Angelini, Jean-Christophe Olivo-Marin

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Unrolling PALM for Sparse Semi-Blind Source Separation.

Mohammad Fahes, Christophe Kervazo, Jérôme Bobin, Florence Tupin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Provably Robust Blind Source Separation of Linear-Quadratic Near-Separable Mixtures.

Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon

SIAM J. Imaging Sci., 2021

Smoothed Separable Nonnegative Matrix Factorization.

Nicolas Nadisic, Nicolas Gillis, Christophe Kervazo

CoRR, 2021

2020

Faster and better sparse blind source separation through mini-batch optimization.

Christophe Kervazo, Tobías I. Liaudat, Jérôme Bobin

Digit. Signal Process., 2020

Use of PALM for <i>ℓ</i>₁ sparse matrix factorization: Difficulty and rationalization of a two-step approach.

Christophe Kervazo, Jérôme Bobin, Cécile Chenot, Florent Sureau

Digit. Signal Process., 2020

Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures.

Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Optimization framework for large-scale sparse blind source separation. (Stratégies d'optimisation pour la séparation aveugle de sources parcimonieuses grande échelle).

Christophe Kervazo

PhD thesis, 2019

2018

Blind separation of a large number of sparse sources.

Christophe Kervazo, Jérôme Bobin, Cecile Chenot

Signal Process., 2018

Heuristics for Efficient Sparse Blind Source Separation.

Christophe Kervazo, Jérôme Bobin, Cecile Chenot

Proceedings of the 26th European Signal Processing Conference, 2018