Ricardo Borsoi

CNRS researcher
University of
Lorraine

Publications

Note: An up-to-date publication list can be found in Google scholar

Journal Papers

1. H. Li, B. Duvvuri, R.A. Borsoi, T. Imbiriba, E. Beighley, D. Erdogmus, P. Closas. Online fusion of multi-resolution multispectral images with weakly supervised temporal dynamics. ISPRS Journal of Photogrammetry and Remote Sensing, 2023. [PDF] [Code]

2. M. Moscu, R.A. Borsoi, C. Richard, J.C.M. Bermudez. Graph topology inference with derivative-reproducing property in RKHS: algorithm and convergence analysis. IEEE Transactions on Signal and Information Processing Over Networks, 2022. [PDF]

3. D.M. Carmo, R.A. Borsoi, M.H. Costa. Robust parameter strategy for wiener-based binaural noise reduction methods in hearing aids. Biomedical Signal Processing and Control, 2022. [PDF]

4. C. Prévost, R.A. Borsoi, K. Usevich, D. Brie, J.C.M. Bermudez, C. Richard. Hyperspectral super-resolution accounting for spectral variability: coupled tensor LL1-based recovery and blind unmixing of the unknown super-resolution image. SIAM Journal on Imaging Sciences, 2022. [PDF]

5. R.A. Borsoi, T. Imbiriba, J.C.M. Bermudez, C. Richard. Fast Unmixing and Change Detection in Multitemporal Hyperspectral Data. IEEE Transactions on Computational Imaging, 2021. [PDF]

6. R.A. Borsoi, T. Imbiriba, J.C.M. Bermudez, C. Richard, J Chanussot, L. Drumetz, J.-Y. Tourneret, A. Zare, C. Jutten. Spectral variability in hyperspectral data unmixing: A comprehensive review. IEEE Geoscience and Remote Sensing Magazine, 2021. [PDF] [Code]

7. H. Li, R.A. Borsoi, T. Imbiriba, P. Closas, J.C.M Bermudez, D. Erdoğmuş. Model-Based Deep Autoencoder Networks for Nonlinear Hyperspectral Unmixing. IEEE Geoscience and Remote Sensing Letters, 2021. [PDF]

8. R.A. Borsoi, C. Prévost, K. Usevich, D. Brie, J.C.M. Bermudez, C. Richard. Coupled Tensor Decomposition for Hyperspectral and Multispectral Image Fusion with Inter-image Variability. IEEE Journal of Selected Topics in Signal Processing, 2021. [PDF] [Code]

9. R.A. Borsoi, T. Imbiriba, P. Closas, J.C.M. Bermudez, C. Richard. Kalman filtering and expectation maximization for multitemporal spectral unmixing. IEEE Geoscience and Remote Sensing Letters, 2020. [PDF]

10. R.A. Borsoi, T. Imbiriba, J.C.M. Bermudez, C. Richard. Deep generative models for library augmentation in multiple endmember spectral mixture analysis. IEEE Geoscience and Remote Sensing Letters, 2020. [PDF]

11. R.A. Borsoi. Robust online video super-resolution using an efficient alternating projections scheme. Signal Processing, 2020. [PDF]

12. R.A. Borsoi, T. Imbiriba, J.C.C. Bermudez, C. Richard. A blind multiscale spatial regularization framework for kernel-based spectral unmixing. IEEE Transactions on Image Processing, 2020. [PDF] [Code]

13. R.A. Borsoi, T. Imbiriba, J.C.C. Bermudez. A data dependent multiscale model for hyperspectral unmixing with spectral variability. IEEE Transactions on Image Processing, 2020. [PDF] [Code]

14. T. Imbiriba, R.A. Borsoi, J.C.C. Bermudez. Low-rank tensor modeling for hyperspectral unmixing accounting for spectral variability. IEEE Transactions on Geoscience and Remote Sensing, 2019. [PDF] [Code]

15. R.A. Borsoi, T. Imbiriba, J.C.C. Bermudez. Deep generative endmember modeling: An application to unsupervised spectral unmixing. IEEE Transactions on Computational Imaging, 2019. [PDF] [Code]

16. R.A. Borsoi, T. Imbiriba, J.C.C. Bermudez. Super-resolution for hyperspectral and multispectral image fusion accounting for seasonal spectral variability. IEEE Transactions on Image Processing, 2019. [PDF] [Code]

17. R.A. Borsoi, T. Imbiriba, J.C.C. Bermudez, C. Richard. A Fast Multiscale Spatial Regularization for Sparse Hyperspectral Unmixing. IEEE Geoscience and Remote Sensing Letters, 2018. [PDF] [Code]

18. R.A. Borsoi, G.H. Costa and J.C.M. Bermudez. A new adaptive video super-resolution algorithm with improved robustness to innovations. IEEE Transactions on Image Processing, 2018. [PDF] [Code]

19. R.A. Borsoi, J.C.C. Aya, G.H. Costa and J.C.M. Bermudez. Super-Resolution Reconstruction of Electrical Impedance Tomography Images. Computers and Electrical Engineering, 2018. [PDF] [Code]

20. R.A. Borsoi and G.H. Costa. On the Performance and Implementation of Parallax free Video See-Through Displays. IEEE Transactions on Visualization and Computer Graphics, 2017. [PDF]

International Conference Papers

1. X. Wang, R.A. Borsoi, C. Richard, J. Chen. Deep Image Fusion Accounting for Inter-image Variability. Asilomar Conference on Signals, Systems, and Computers, 2022.

2. H. Li, B. Duvvuri, R.A. Borsoi, T. Imbiriba, E. Beighley, D. Erdogmus, P. Closas. Online Multi-resolution Fusion of Space-borne Multispectral Images. IEEE Aerospace Conference, March, 2022. [PDF]

3. R.A. Borsoi, C. Prévost, K. Usevich, D. Brie, J.C.M. Bermudez, C. Richard. Coupled tensor models accounting for inter-image variability. Asilomar Conference on Signals, Systems, and Computers, 2021.

4. L.C. Ayres, S.J.M de Almeida, J.C.M. Bermudez, R.A. Borsoi. A Homogeneity-Based Multiscale Hyperspectral Image Representation for Sparse Spectral Unmixing. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. [PDF]

5. M. Moscu, R.A. Borsoi, C. Richard. Convergence Analysis Of The Graph-topology-inference Kernel LMS Algorithm. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. [PDF]

6. M. Moscu, R.A. Borsoi, C. Richard. Online Kernel-Based Graph Topology Identification with Partial-Derivative-Imposed Sparsity. European Signal Processing Conference (EUSIPCO), 2020. [PDF]

7. R.A. Borsoi, C. Richard, A. Ferrari, J. Chen, J.C.M. Bermudez. Online graph-based change point detection in multiband image sequences. European Signal Processing Conference (EUSIPCO), 2020. [PDF]

8. M. Moscu, R.A. Borsoi, C. Richard. Online Graph Topology Inference with Kernels For Brain Connectivity Estimation. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, 2020. [PDF]

9. R.A. Borsoi, T. Imbiriba, J.C.M. Bermudez.Improved Hyperspectral Unmixing with Endmember Variability Parametrized Using an Interpolated Scaling Tensor. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, 2019. [PDF]

10. T. Imbiriba, R.A. Borsoi, J.C.M. Bermudez. A Low-Rank Tensor Regularization Strategy for Hyperspectral Unmixing. Statistical Signal Processing Workshop (SSP), Freiburg, 2018. [PDF]

11. T. Imbiriba, R.A. Borsoi, J.C.M. Bermudez. Generalized linear mixing model accounting for endmember variability. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, 2018. [PDF] [Code]

12. R.A. Borsoi, G.H. Costa, J.C.M. Bermudez. A new adaptive video SRR algorithm with improved robustness to innovations. European Signal Processing Conference (EUSIPCO), Kos, 2017. [PDF]

Local Workshops and Abstracts

1. D.M. Carmo, R.A. Borsoi, M.H. Costa. Uma Abordagem Convexa para o Filtro de Wiener Multicanal com Preservação de Pistas Biauriculares em Aparelhos Auditivos. XXXIX Brazilian Conference on Biomedical Engineering, Florianópolis, 2022. (best student paper award)

2. C. Prévost, R.A. Borsoi, K. Usevich, D. Brie, J.C.M. Bermudez, C. Richard. 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. XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI), 2022. [PDF]

3. R.A. Borsoi, C. Prévost, K. Usevich, D. Brie, J.C.M. Bermudez, C. Richard. Tensor-based image fusion accounting for inter-image variability: Recoverability and algorithms. XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI), 2022. [PDF]

4. B. Duvvuri, H. Li, R.A. Borsoi, T. Imbiriba, D. Erdogmus, E. Beighley, P. Closas. Recursive Bayesian Classification for Water Mapping. Abstract presented at the American Geophysical Union (AGU) Fall Meeting, 2021.

5. H. Li, B. Duvvuri, R.A. Borsoi, T. Imbiriba, D. Erdogmus, E. Beighley, P. Closas. Online multi-resolution image fusion: an application for water mapping. Abstract presented at the American Geophysical Union (AGU) Fall Meeting, 2021.

6. D.M. Carmo, R.A. Borsoi, M.H. Costa. Proposta de um parâmetro robusto para redução de ruído e preservação espacial em aparelhos auditivos biauriculares. XXXIX Brazilian Symposium on Telecommunications and Signal Processing, Fortaleza, 2021. [PDF]

7. D.M. Carmo, R.A. Borsoi, M.H. Costa. Filtro Multicanal de Wiener com Restrição Quadrática para Preservação de Pistas Biauriculares em Aparelhos Auditivos. XXXIX Brazilian Symposium on Telecommunications and Signal Processing, Fortaleza, 2021. [PDF]

8. D.M do Carmo, M.H. Costa, R.A. Borsoi. Proposta de uma função custo para a preservação espacial de fontes sonoras em aparelhos auditivos biauriculares. XXXVIII Brazilian Symposium on Telecommunications and Signal Processing, Florianópolis, 2020. [PDF]

9. L.C. Ayres, S.J.M. de Almeida, J.C.M. Bermudez, R.A Borsoi. Representação Aprimorada de Imagens Hiperespectrais em Múltiplas Escalas para a Separação Espectral Esparsa. XXXVIII Brazilian Symposium on Telecommunications and Signal Processing, Florianópolis, 2020. [PDF]

10. R.A. Borsoi, J.C.C. Aya, G.H. Costa and J.C.M. Bermudez. Super-Resolução de Imagens de Tomografia por Impedância Elétrica. XXXV Brazilian Symposium on Telecommunications and Signal Processing, São Pedro, 2017. [PDF]

Other

1. R.A. Borsoi. Spectral variability in hyperspectral unmixing: Multiscale, tensor, and neural network-based approaches. PhD thesis, Université Côte d'Azur (France); Universidade Federal de Santa Catarina (Brazil), 2021. [PDF]

2. R.A. Borsoi. A new adaptive algorithm for video super-resolution with improved outlier handling capability. Master thesis, Federal University of Santa Catarina, 2016. [PDF]