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Books and Theses
- 2013
[b1]Thomas Oberlin:
Analyse de Signaux Multicomposantes : Contributions à la Décomposition Modale Empirique, aux Représentations temps-fréquence et au Synchrosqueezing. University of Grenoble, France, 2013
Journal Articles
- 2024
- [j24]Sebastià Mijares i Verdú
, Marie Chabert, Thomas Oberlin, Joan Serra-Sagristà:
Fixed-Quality Compression of Remote Sensing Images With Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12169-12180 (2024) - [j23]Colin Decourt, Rufin VanRullen, Didier Salle, Thomas Oberlin:
A Recurrent CNN for Online Object Detection on Raw Radar Frames. IEEE Trans. Intell. Transp. Syst. 25(10): 13432-13441 (2024) - 2023
- [j22]Sebastià Mijares i Verdú, Marie Chabert, Thomas Oberlin, Joan Serra-Sagristà:
Reduced-Complexity Multirate Remote Sensing Data Compression With Neural Networks. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j21]Yanna Cruz Cavalcanti, Thomas Oberlin, Vinicius Ferraris, Nicolas Dobigeon, Maria Ribeiro, Clovis Tauber:
Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images. Medical Image Anal. 84: 102689 (2023) - [j20]Ondrej Mokrý, Paul Magron, Thomas Oberlin, Cédric Févotte:
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. Signal Process. 206: 108905 (2023) - 2022
- [j19]Sylvain Lucas, Thomas Oberlin, Vincent Goiffon, Fanny Le Mer:
Automatic Detection and Correction of Random Telegraph Signal Artifacts in Earth Observation Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j18]Vinicius Alves de Oliveira, Marie Chabert, Thomas Oberlin, Charly Poulliat, Mickael Bruno, Christophe Latry, Mikael Carlavan, Simon Henrot, Frédéric Falzon, Roberto Camarero:
Satellite Image Compression and Denoising With Neural Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j17]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval. IEEE Signal Process. Lett. 29: 1619-1623 (2022) - [j16]Sylvain Meignen, Nils Laurent, Thomas Oberlin:
One or Two Ridges? An Exact Mode Separation Condition for the Gabor Transform. IEEE Signal Process. Lett. 29: 2507-2511 (2022) - 2021
- [j15]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery. IEEE J. Sel. Top. Signal Process. 15(1): 51-64 (2021) - [j14]Vinicius Alves de Oliveira, Marie Chabert, Thomas Oberlin, Charly Poulliat, Mickael Bruno, Christophe Latry, Mikael Carlavan, Simon Henrot, Frédéric Falzon, Roberto Camarero:
Reduced-Complexity End-to-End Variational Autoencoder for on Board Satellite Image Compression. Remote. Sens. 13(3): 447 (2021) - 2020
- [j13]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Negative Binomial Matrix Factorization. IEEE Signal Process. Lett. 27: 815-819 (2020) - [j12]Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon:
Hyperspectral and Multispectral Image Fusion Under Spectrally Varying Spatial Blurs - Application to High Dimensional Infrared Astronomical Imaging. IEEE Trans. Computational Imaging 6: 1362-1374 (2020) - 2019
- [j11]Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert:
Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images. Comput. Vis. Image Underst. 189 (2019) - [j10]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber:
Factor Analysis of Dynamic PET Images: Beyond Gaussian Noise. IEEE Trans. Medical Imaging 38(9): 2231-2241 (2019) - 2018
- [j9]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria Ribeiro, Clovis Tauber:
Unmixing dynamic PET images with variable specific binding kinetics. Medical Image Anal. 49: 117-127 (2018) - [j8]Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon:
Reconstruction of Partially Sampled Multiband Images - Application to STEM-EELS Imaging. IEEE Trans. Computational Imaging 4(4): 585-598 (2018) - 2017
- [j7]Facundo Costa, Hadj Batatia, Thomas Oberlin, Carlos D'Giano, Jean-Yves Tourneret:
Bayesian EEG source localization using a structured sparsity prior. NeuroImage 144: 142-152 (2017) - 2015
- [j6]Thomas Oberlin, Sylvain Meignen, Valérie Perrier:
Second-Order Synchrosqueezing Transform or Invertible Reassignment? Towards Ideal Time-Frequency Representations. IEEE Trans. Signal Process. 63(5): 1335-1344 (2015) - 2013
- [j5]François Auger, Patrick Flandrin, Yu-Ting Lin, Stephen McLaughlin, Sylvain Meignen, Thomas Oberlin, Hau-Tieng Wu:
Time-Frequency Reassignment and Synchrosqueezing: An Overview. IEEE Signal Process. Mag. 30(6): 32-41 (2013) - 2012
- [j4]Thomas Oberlin, Sylvain Meignen, Valérie Perrier:
An Alternative Formulation for the Empirical Mode Decomposition. IEEE Trans. Signal Process. 60(5): 2236-2246 (2012) - [j3]Sylvain Meignen, Thomas Oberlin, Steve McLaughlin:
A New Algorithm for Multicomponent Signals Analysis Based on SynchroSqueezing: With an Application to Signal Sampling and Denoising. IEEE Trans. Signal Process. 60(11): 5787-5798 (2012) - 1973
- [j2]Thomas Oberlin, Rangasami L. Kashyap:
Bayes Decision Rules Based on Objective Priors. IEEE Trans. Syst. Man Cybern. 3(4): 359-364 (1973) - [j1]Thomas Oberlin:
On the Control of Systems with Unknown Parameters. IEEE Trans. Syst. Man Cybern. 3(4): 365-370 (1973)
Conference and Workshop Papers
- 2022
- [c27]Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon:
Informed Spatial Regularizations For Fast Fusion Of Astronomical Images. ICIP 2022: 2221-2225 - [c26]Colin Decourt, Rufin VanRullen, Didier Salle, Thomas Oberlin:
DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps. IV 2022: 112-118 - 2021
- [c25]Neha Singh, Sylvain Meignen, Thomas Oberlin:
Source Separation Based on Non-Negative Matrix Factorization of the Synchrosqueezing Transform. EUSIPCO 2021: 1910-1914 - [c24]Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte:
Phase Recovery with Bregman Divergences for Audio Source Separation. ICASSP 2021: 516-520 - [c23]Thomas Oberlin, Mathieu Verm:
Regularization via Deep Generative Models: an Analysis Point of View. ICIP 2021: 404-408 - 2020
- [c22]Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert:
Unsupervised Change Detection for Multimodal Remote Sensing Images via Coupled Dictionary Learning and Sparse Coding. ICASSP 2020: 4627-4631 - [c21]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Ordinal Non-negative Matrix Factorization for Recommendation. ICML 2020: 3680-3689 - [c20]Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon:
Fusion of hyperspectral and multispectral infrared astronomical images. SAM 2020: 1-5 - 2019
- [c19]Thomas Oberlin, François Malgouyres, Jin-Yi Wu:
Loss functions for denoising compressed images: a comparative study. EUSIPCO 2019: 1-5 - [c18]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Clovis Tauber:
Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise. ICASSP 2019: 1373-1377 - [c17]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Recommendation from Raw Data with Adaptive Compound Poisson Factorization. UAI 2019: 91-101 - 2018
- [c16]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Matrix Co-Factorization for Cold-Start Recommendation. ISMIR 2018: 792-798 - [c15]Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Maria de Frutos, Nicolas Dobigeon:
Reconstruction Of Partially Sampled EELS Images. WHISPERS 2018: 1-5 - 2017
- [c14]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Clovis Tauber:
Unmixing dynamic PET images with a PALM algorithm. EUSIPCO 2017: 425-429 - [c13]Dominique Fourer, Jinane Harmouche, Jeremy Schmitt, Thomas Oberlin, Sylvain Meignen, François Auger, Patrick Flandrin:
The ASTRES toolbox for mode extraction of non-stationary multicomponent signals. EUSIPCO 2017: 1130-1134 - [c12]Sylvain Meignen, Thomas Oberlin, Steve McLaughlin:
Fully adaptive mode decomposition from time-frequency ridges. ICASSP 2017: 3884-3888 - [c11]Thomas Oberlin, Sylvain Meignen:
The second-order wavelet synchrosqueezing transform. ICASSP 2017: 3994-3998 - [c10]Saman Noorzadeh, Pierre Maurel, Thomas Oberlin, Rémi Gribonval, Christian Barillot:
Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints. MICCAI (1) 2017: 442-450 - 2016
- [c9]Facundo Costa, Hadj Batatia, Thomas Oberlin, Jean-Yves Tourneret:
A partially collapsed Gibbs sampler with accelerated convergence for EEG source localization. SSP 2016: 1-5 - 2015
- [c8]Facundo Costa, Hadj Batatia, Thomas Oberlin, Jean-Yves Tourneret:
EEG source localization based on a structured sparsity prior and a partially collapsed Gibbs sampler. CAMSAP 2015: 261-264 - [c7]Sylvain Meignen, T. Gardner, Thomas Oberlin:
Time-frequency ridge analysis based on the reassignment vector. EUSIPCO 2015: 1486-1490 - [c6]Thomas Oberlin, Christian Barillot, Rémi Gribonval, Pierre Maurel:
Symmetrical EEG-FMRI imaging by sparse regularization. EUSIPCO 2015: 1870-1874 - 2014
- [c5]Thomas Oberlin, Sylvain Meignen, Valérie Perrier:
The fourier-based synchrosqueezing transform. ICASSP 2014: 315-319 - 2013
- [c4]Thomas Oberlin, Sylvain Meignen, Stephen McLaughlin:
A novel time-frequency technique for multicomponent signal denoising. EUSIPCO 2013: 1-5 - [c3]Thomas Oberlin, Sylvain Meignen, Stephen McLaughlin:
Analysis of strongly modulated multicomponent signals with the short-time Fourier transform. ICASSP 2013: 5358-5362 - 2012
- [c2]Thomas Oberlin, Sylvain Meignen, Valérie Perrier:
On the mode synthesis in the synchrosqueezing method. EUSIPCO 2012: 1865-1869 - [c1]Sylvain Meignen, Thomas Oberlin, Stephen McLaughlin:
Multicomponent signal denoising with synchrosqueezing. SSP 2012: 660-663
Informal and Other Publications
- 2024
- [i19]Colin Decourt, Rufin VanRullen, Didier Salle, Thomas Oberlin:
Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection. CoRR abs/2402.08427 (2024) - 2023
- [i18]Maud Biquard, Marie Chabert, Thomas Oberlin:
Variational Bayes image restoration with compressive autoencoders. CoRR abs/2311.17744 (2023) - 2022
- [i17]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Learning the Proximity Operator in Unfolded ADMM for Phase Retrieval. CoRR abs/2204.01360 (2022) - [i16]Ondrej Mokrý, Paul Magron, Thomas Oberlin, Cédric Févotte:
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization. CoRR abs/2206.13768 (2022) - [i15]Colin Decourt, Rufin VanRullen, Didier Salle, Thomas Oberlin:
A recurrent CNN for online object detection on raw radar frames. CoRR abs/2212.11172 (2022) - 2021
- [i14]Thomas Oberlin, Mathieu Verm:
Regularization via deep generative models: an analysis point of view. CoRR abs/2101.08661 (2021) - 2020
- [i13]Étienne Monier, Thomas Oberlin, Nathalie Brun, Xiaoyan Li, Marcel Tencé, Nicolas Dobigeon:
Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling. CoRR abs/2002.01225 (2020) - [i12]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Ordinal Non-negative Matrix Factorization for Recommendation. CoRR abs/2006.01034 (2020) - [i11]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase retrieval with Bregman divergences and application to audio signal recovery. CoRR abs/2010.00392 (2020) - [i10]Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte:
Phase recovery with Bregman divergences for audio source separation. CoRR abs/2010.10255 (2020) - [i9]Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte:
Phase retrieval with Bregman divergences: Application to audio signal recovery. CoRR abs/2011.12818 (2020) - 2019
- [i8]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Recommendation from Raw Data with Adaptive Compound Poisson Factorization. CoRR abs/1905.13128 (2019) - [i7]Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon:
Hyperspectral and multispectral image fusion under spectrally varying spatial blurs - Application to high dimensional infrared astronomical imaging. CoRR abs/1912.11868 (2019) - 2018
- [i6]Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Negative Binomial Matrix Factorization for Recommender Systems. CoRR abs/1801.01708 (2018) - [i5]Étienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon:
Reconstruction of partially sampled multi-band images - Application to STEM-EELS imaging. CoRR abs/1802.10066 (2018) - [i4]Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert:
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images. CoRR abs/1807.08118 (2018) - [i3]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria-Joao Ribeiro, Clovis Tauber:
Factor analysis of dynamic PET images: beyond Gaussian noise. CoRR abs/1807.11455 (2018) - 2017
- [i2]Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Simon Stute, Maria Ribeiro, Clovis Tauber:
Unmixing dynamic PET images for voxel-based kinetic component analysis. CoRR abs/1707.09867 (2017) - 2012
- [i1]Marianne Clausel, Thomas Oberlin, Valérie Perrier:
The Monogenic Synchrosqueezed Wavelet Transform: A tool for the Decomposition/Demodulation of AM-FM images. CoRR abs/1211.5082 (2012)
Coauthor Index
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