| Hyperspectral super-resolution with coupled tucker approximation: Recoverability and SVD-based algorithms C Prévost, K Usevich, P Comon, D Brie IEEE Transactions on Signal Processing 68, 931-946, 2020 | 85 | 2020 |
| Coupled tensor decomposition for hyperspectral and multispectral image fusion with inter-image variability RA Borsoi, C Prévost, K Usevich, D Brie, JCM Bermudez, C Richard IEEE Journal of Selected Topics in Signal Processing 15 (3), 702-717, 2021 | 57 | 2021 |
| Hyperspectral super-resolution accounting for spectral variability: Coupled tensor LL1-based recovery and blind unmixing of the unknown super-resolution image C Prévost, RA Borsoi, K Usevich, D Brie, JCM Bermudez, C Richard SIAM Journal on Imaging Sciences 15 (1), 110-138, 2022 | 21 | 2022 |
| Coupled tensor low-rank multilinear approximation for hyperspectral super-resolution C Prévost, K Usevich, P Comon, D Brie ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 21 | 2019 |
| On Cramér-Rao lower bounds with random equality constraints C Prévost, E Chaumette, K Usevich, D Brie, P Comon ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Performance bounds for coupled CP model in the framework of hyperspectral super-resolution C Prevost, K Usevich, P Comon, M Haardt, D Brie 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 6 | 2019 |
| Constrained Cramér–Rao bounds for reconstruction problems formulated as coupled canonical polyadic decompositions C Prévost, K Usevich, M Haardt, P Comon, D Brie Signal Processing 198, 108573, 2022 | 5 | 2022 |
| Coupled tensor decomposition for hyperspectral and multispectral image fusion with variability RA Borsoi, C Prévost, K Usevich, D Brie, J Bermudez, C Richard arXiv preprint arXiv:2006.16968, 2020 | 5 | 2020 |
| Nonnegative block-term decomposition with the β-divergence: Joint data fusion and blind spectral unmixing C Prévost, V Leplat ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Super-resolution reconstruction of brain 3D magnetic resonance images using a coupled tensor multilinear approximation C Prévost, F Odille | 4 | 2022 |
| Fast fusion of hyperspectral and multispectral images: A tucker approximation approach C Prévost, P Chainais, R Boyer 2022 IEEE International Conference on Image Processing (ICIP), 2076-2080, 2022 | 3 | 2022 |
| Multi-frame super-resolution mri using coupled low-rank tucker approximation C Prévost, F Odille 2022 30th European Signal Processing Conference (EUSIPCO), 1263-1267, 2022 | 3 | 2022 |
| Constrained Cramér-Rao lower bounds for CP-based hyperspectral super-resolution C Prévost, K Usevich, M Haardt, P Comon, D Brie | 2 | 2020 |
| Minimum-Volume Non-Negative Block-Term Decomposition: Blind Data Fusion and Unmixing with Estimation of the Number of Endmembers C Prévost, V Leplat 2024 32nd European Signal Processing Conference (EUSIPCO), 1057-1061, 2024 | 1 | 2024 |
| Non-local tensor sparse coding for multi-image super-resolution in magnetic resonance imaging C Prévost, F Odille | 1 | 2023 |
| Coupled tensor models accounting for inter-image variability RA Borsoi, C Prévost, K Usevich, D Brie, JCM Bermudez, C Richard 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1586-1590, 2021 | 1 | 2021 |
| Multimodal data fusion by coupled low-rank tensor approximations C Prévost Université de Lorraine, 2021 | 1 | 2021 |
| Hyperspectral super-resolution accounting for spectral variability: LL1-based recovery and blind unmixing C Prévost, RA Borsoi, K Usevich, D Brie, JCM Bermudez, C Richard | 1 | 2021 |
| HIGH-DIMENSIONAL, LOW-RANK TENSOR APPROXIMATION: CRAMÉR-RAO LOWER BOUNDS AND APPLICATION TO MIMO CHANNELS C Prévost, P Chainais | | 2023 |
| DATA FUSION AND UNMIXING WITH THE REGULARIZED NON-NEGATIVE BLOCK-TERM DECOMPOSITION: JOINT PROBLEMS, BLIND APPROACH AND AUTOMATIC MODEL ORDER SELECTION C Prévost, V Leplat | | 2023 |
