Here you’ll find an overview of my publications sorted by date (most recent).
International journal papers
- Constrained Cramér-Rao lower bounds for CP-based hyperspectral super-resolution - Prévost C., Usevich, K., Comon, P., Haardt, M. and Brie, D. - Signal Processing, 198, 108573, 2022 [CODE]
- Hyperspectral super-resolution accounting for spectral variability: coupled tensor LL1-based recovery and blind unmixing of the unknown super-resolution image - Prévost C., Borsoi R., Usevich K., Brie D., Bermudez J.M. and Richard, C. - SIAM Journal on Imaging Sciences, 15(1), p.110-138, 2022 [CODE]
- Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion with Inter-image Variability, Borsoi R.A., Prévost, C., Usevich, K., Brie, D.,Bermudez, J.C.M. and Richard, C. - IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 3, p.702-717, 2021 [CODE]
- Hyperspectral super-resolution with coupled Tucker approximation: Identifiability and SVD-based algorithms - Prévost, C., Usevich, K., Comon, P. and Brie, D. - IEEE Transactions on Signal Processing, vol. 68, p.931-946, 2020 [CODE]
International conference papers
- Nonnegative Block-term Decomposition With the beta-divergence: joint data fusion and blind spectral unmixing - Prévost, C. and Leplat, V. - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Fast fusion of hyperspectral and multispectral images: a Tucker approximation approach - Prévost C., Chainais P. and Boyer, R. - 2022 IEEE International Conference on Image Processing (ICIP) [CODE]
- Multi-frame super-resolution MRI using coupled low-rank Tucker approximation - Prévost C. and Odille F. -2022 European Signal Processing Conference (EUSIPCO) [CODE]
- On Cramér-Rao lower bounds with random equality constraints - Prévost, C., Chaumette, E., Usevich, K., Brie, D. and Comon, P. - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) [CODE]
- Performance bounds for coupled CP model in the framework of hyperspectral super-resolution - Prévost C., Usevich, K., Comon, P., Haardt, M. and Brie, D. - 2019 IEEE CAMSAP [CODE]
- Coupled tensor low-rank multilinear approximation for hyperspectral super-resolution - Prévost, C., Usevich, K., Comon, P. and Brie, D. - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) [CODE]
National conference papers
- Super-résolution hyperspectrale et démélange conjoints : approche tensorielle sous contraintes de positivité et semi-aveugle basée sur la beta-divergence - Prévost, C. and Leplat, V. - To appear in 2023 GRETSI
- [Tensor-based image fusion accounting for inter-image variability: Recoverability and algorithms] - Prévost C., Borsoi R., Usevich K., Brie D., Bermudez J.M. and Richard, C. - 2022 GRETSI
- Factorisation tensorielle couplée en termes de rangs (L, L, 1) : application conjointe à la super-résolution hyperspectrale et au démélange en présence de variabilité spectrale - Prévost C., Borsoi R., Usevich K., Brie D., Bermudez J.M. and Richard, C. - 2022 GRETSI [CODE]
- Super-résolution multi-images en IRM par approximation de Tucker couplée - Prévost, C., Odille, F. - 2022 GRETSI [CODE]
- Approches tensorielles couplées pour la fusion aveugle d’images multispectrale et hyperspectrale - Prévost, C., Usevich, K., Comon, P. and Brie, D. - 2019 GRETSI [CODE]
Preprints
- Non-local tensor sparse coding for multi-image super-resolution in magnetic resonance imaging - Prévost, C. and Odille, F.
- DATA FUSION AND UNMIXING WITH THE REGULARIZED NON-NEGATIVE BLOCK-TERM DECOMPOSITION: JOINT PROBLEMS, BLIND APPROACH AND AUTOMATIC MODEL ORDER SELECTION - Prévost, C. and Leplat, V.
- HIGH-DIMENSIONAL, LOW-RANK TENSOR APPROXIMATION: CRAMÉR-RAO LOWER BOUNDS AND APPLICATION TO MIMO CHANNELS - Prévost, C. and Chainais, P.
- On the efficiency of blind and non-blind estimation for coupled LL1 tensor models using the randomly-constrained Cramér-Rao bound - Prévost C., Usevich, K., Chaumette, E., Brie, D. and Comon, P.
Thesis
Multimodal data fusion by coupled low-rank tensor approximations - Prévost C.