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Full list of publications and communications

See also IRIT database.

Preprints

International journal papers

  1. V. Ferraris, N. Dobigeon, Y. Cruz Cavalcanti, T. Oberlin and M. Chabert, "Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images", Computer Vision and Image Understanding, vol. 189, no. 102817, Dec. 2019.

  2. Y. Cruz Cavalcanti, T. Oberlin, N. Dobigeon, C. Févotte, S. Stute, M. Ribeiro and C. Tauber, "Factor analysis of dynamic PET images: beyond Gaussian noise", IEEE Transactions on Medical Imaging, vol. 38, no. 9, pp. 2231-2241, Sept. 2019.

  3. S. Meignen, T. Oberlin, D-H. Pham, "Synchrosqueezing transforms: From low-to high-frequency modulations and perspectives", Comptes Rendus Physique, vol. 20, no. 5, pp. 449-460, 2019.

  4. E. Monier, T. Oberlin, N. Brun, M. Tencé, M. de Frutos and N. Dobigeon, "Reconstruction of partially sampled multi-band images - Application to EELS microscopy", IEEE Transactions on Computational Imaging, vol. 4, no. 4, pp. 585-598, Dec. 2018.

  5. Y. Cruz Cavalcanti, T. Oberlin, N. Dobigeon, S. Stute, M. Ribeiro and C. Tauber, "Unmixing dynamic PET images with variable specific binding kinetics," Medical Image Analysis, vol. 49, pp. 117-127, 2018. Preprint available on arXiv.

  6. R. Behera, S. Meignen and T. Oberlin, "Theoretical Analysis of the Second-order Synchrosqueezing Transform", Applied and Computational Harmonic Analysis, 45 (2), 2018.

  7. F. Costa, H. Batatia, T. Oberlin and J-Y. Tourneret, "Skull Conductivity Estimation for EEG Source Localization", IEEE Signal Processing Letters, vol. 24, no. 4, pp. 422-426, 2017. Related technical report.

  8. F. Costa, H. Batatia, T. Oberlin and J-Y. Tourneret, "Bayesian EEG source localization using a structured sparsity prior", NeuroImage, vol. 144, pp. 142-152, 2017. Related technical report (pdf).

  9. S. Meignen, T. Oberlin, P. Depalle, P. Flandrin and S. McLaughlin, "Adaptive multimode signal reconstruction from time–frequency representations", Philosophical Transactions of the Royal Society A, vol. 374, no. 2065, 2016.

  10. T. Oberlin, S. Meignen and V. Perrier, "Second-order synchrosqueezing transform or invertible reassignment? Towards ideal time-frequency representations", IEEE Transactions on Signal Processing, vol. 63, no. 5, pp. 1335-1344, 2015. Matlab code.

  11. M. Clausel, T. Oberlin and V. Perrier, "The Monogenic Synchrosqueezed Wavelet Transform : A tool for the Decomposition/Demodulation of AM-FM images", Applied and Computational Harmonic Analysis, vol. 39, no. 3, pp. 450-486, 2015.

  12. F. Auger, P. Flandrin, Y-T. Lin, S. McLaughlin, S. Meignen, T. Oberlin and H-T. Wu, "A Coherent Overview of Time-Frequency Reassignment and Synchrosqueezing", IEEE Signal Processing Magazine, vol. 30, no. 6, pp. 32-41, 2013. Matlab code .

  13. S. Meignen, T. Oberlin and S. McLaughlin, "A new algorithm for multicomponent signal analysis based on SynchroSqueezing: With an application to signal sampling and denoising", IEEE Transactions on Signal Processing, vol. 60, no. 11, pp. 5787-5798, 2012.

  14. T. Oberlin, S. Meignen and V. Perrier, "An Alternative Formulation for Empirical Mode Decomposition", IEEE Transactions on Signal Processing, vol. 60, no. 5, pp. 2236-2246, 2012. Matlab code.

International conference papers

  1. C. Guilloteau, T. Oberlin, O. Berné and N. Dobigeon, "Fusion of hyperspectral and multispectral infrared astronomical images", Proc. Workshop on Sensor Array and Multichannel Signal Processing (SAM), June 2020, submitted.

  2. V. Ferraris, N. Dobigeon, Y. C. Cavalcanti, T. Oberlin and M. Chabert, "Unsupervised change detection for multimodal remote sensing images via coupled dictionary learning and sparse coding,", Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020.

  3. Y. C. Cavalcanti, T. Oberlin, N. Dobigeon, C. Févotte, S. Stute and C. Tauber, "Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise", Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2019.

  4. T. Oberlin, F. Malgouyres, J-Y. Wu, "Loss functions for denoising compressed images: a comparative study", Proc. European Signal Processing Conference (EUSIPCO), 2019.

  5. O. Gouvert, T. Oberlin, C. Févotte, "Recommendation from Raw Data with Adaptive Compound Poisson Factorization", Proc. Uncertainty in Artificial Intelligence (UAI), 2019.

  6. O. Gouvert, T. Oberlin, C. Févotte, "Matrix co-factorization for cold-start recommendation", Proc. ISMIR Conference, 2018.

  7. E. Monier, T. Oberlin, N. Brun, M. De Frutos, M. Tencé and N. Dobigeon, "Reconstruction of partially sampled EELS images", Proc. IEEE GRSS Workshop on Hyperspectral Image and SIgnal Processing: Evolution in Remote Sensing (WHISPERS), Sept. 2018.

  8. S. Noorzadeh, P. Maurel, T. Oberlin, R. Gribonval and C. Barillot, "Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints", Proc. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017.

  9. Y. C. Cavalcanti, T. Oberlin, N. Dobigeon and C. Tauber, "Unmixing dynamic PET images with a PALM algorithm", Proc. European Signal Processing Conference (EUSIPCO), 2017.

  10. E. Monier, T. Oberlin, N. Brun, M. Tencé and N. Dobigeon, "Reconstruction of randomly and partially sampled STEM spectrum-images", Proc. Microscopy & MicroAnalysis (MM), 2017.

  11. T. Oberlin and S. Meignen, "The second-order wavelet Synchrosqueezing transform", Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017. Download the presentation.

  12. S. Meignen, T. Oberlin and S. McLaughlin, "Fully adaptive mode decomposition from time-frequency ridges", Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017.

  13. F. Costa, H. Batatia, T. Oberlin and J-Y. Tourneret, "A partially collapsed Gibbs sampler with accelerated convergence for EEG source localization", Proc. IEEE Workshop on Statistical Signal Processing (SSP), 2016.

  14. F. Costa, H. Batatia, T. Oberlin and J-Y. Tourneret, "EEG source localization based on a structured sparsity prior and a partially collapsed Gibbs sampler", Proc. Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2015.

  15. T. Oberlin, C. Barillot, R. Gribonval and P. Maurel, "Symmetrical EEG-fMRI Imaging by Sparse Regularization", Proc. European Signal Processing Conference (EUSIPCO), 2015. Presentation .

  16. S. Meignen, T. Gardner and T. Oberlin, "Time-Frequency Ridge Analysis Based on the Reassignment Vector", Proc. European Signal Processing Conference (EUSIPCO), 2015.

  17. T. Oberlin, S. Meignen and V. Perrier, "The Fourier-based Synchrosqueezing Transform", Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2014. Matlab code.

  18. T. Oberlin, S. Meignen and S. McLaughlin, "A Novel Time-Frequency Technique for Multicomponent Signal Denoising", Proc. European Signal Processing Conference (EUSIPCO), 2013. Matlab code .

  19. T. Oberlin, S. Meignen and S. McLaughlin, "Analysis of Strongly Modulated Multicomponent Signals with the Short-Time Fourier Transform", Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013. Presentation , Matlab code .

  20. S. Meignen, T. Oberlin and S. McLaughlin, "Multicomponent signal denoising with Synchrosqueezing", IEEE Statistical Signal Processing Workshop (SSP), 2012.

  21. T. Oberlin, S. Meignen and V. Perrier, "On the mode synthesis in the Synchrosqueezing method", Proc. European Signal Processing Conference (EUSIPCO), 2012. Matlab code .

National conferences (with proceedings)

  1. C. Guilloteau, T. Oberlin, O. Berné and N. Dobigeon, "Fusion d'images multispectrales et hyperspectrales pour l'observation en astronomie infrarouge", Proc. Colloque GRETSI, Sept. 2019.

  2. E. Monier, T. Oberlin, N. Brun and N. Dobigeon, "Reconstruction de spectres-images partiellement échantillonnés en microscopie EELS", Proc. Colloque GRETSI, 2017.

  3. Y. C. Cavalcanti, T. Oberlin, N. Dobigeon, S. Stute and C. Tauber, "Démélange d'images TEP dynamiques", Proc. Colloque GRETSI, 2017.

  4. T. Oberlin, "Synchrosqueezing transform, reassignment and ridge analysis" (poster), Conférence SMAI-SIGMA, Marseille, 2012.

Other: workshops, conferences without review, etc

  1. T. Oberlin, M. Clausel and V. Perrier, "Analyzing multicomponent images: from analytic to monogenic signals", SIAM Conference on Imaging Science, Albuquerque, NM, 2016.

  2. F. Malgouyres, T. Oberlin and H. Wendt, “Restoration of Compressed Noisy Images”, SIAM Conference on Imaging Science, Albuquerque, NM, USA, 2016.

  3. T. Oberlin, S. Meignen and V. Perrier, "Second-order Synchrosqueezing for Compact Invertible Time-Frequency and Time-Scale Representations" (poster), International Conference Curves and Surfaces, Paris, 2014.

Thesis

  1. T. Oberlin, "Analyse de signaux multicomposantes : Contributions à la Décomposition Modale Empirique, aux représentations temps-fréquence et au Synchrosqueezing", PhD thesis, Université de Grenoble, dir: Valérie Perrier and Sylvain Meignen. Presentation.