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Dorina Thanou
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Cited by
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Learning Laplacian matrix in smooth graph signal representations
X Dong, D Thanou, P Frossard, P Vandergheynst
IEEE Transactions on Signal Processing 64 (23), 6160-6173, 2016
5452016
Learning graphs from data: A signal representation perspective
X Dong, D Thanou, M Rabbat, P Frossard
IEEE Signal Processing Magazine 36 (3), 44-63, 2019
3352019
Graph-based compression of dynamic 3D point cloud sequences
D Thanou, PA Chou, P Frossard
IEEE Transactions on Image Processing 25 (4), 1765 - 1778, 2016
2472016
Graph-based compression of dynamic 3D point cloud sequences
D Thanou, PA Chou, P Frossard
IEEE Transactions on Image Processing 25 (4), 1765-1778, 2016
2472016
Learning heat diffusion graphs
D Thanou, X Dong, D Kressner, P Frossard
IEEE Transactions on Signal and Information Processing over Networks 3 (3 …, 2017
1492017
Learning parametric dictionaries for signals on graphs
D Thanou, DI Shuman, P Frossard
IEEE Transactions on Signal Processing 62 (15), 3849-3862, 2014
1342014
Graph signal processing for machine learning: A review and new perspectives
X Dong, D Thanou, L Toni, M Bronstein, P Frossard
IEEE Signal processing magazine 37 (6), 117-127, 2020
852020
Learning time varying graphs
V Kalofolias, A Loukas, D Thanou, P Frossard
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
742017
Distributed average consensus with quantization refinement
D Thanou, E Kokiopoulou, Y Pu, P Frossard
IEEE Transactions on Signal Processing 61 (1), 194-205, 2012
682012
Laplacian matrix learning for smooth graph signal representation
X Dong, D Thanou, P Frossard, P Vandergheynst
2015 IEEE international conference on Acoustics, Speech and Signal …, 2015
642015
Graph-based motion estimation and compensation for dynamic 3D point cloud compression
D Thanou, PA Chou, P Frossard
2015 IEEE International Conference on Image Processing (ICIP), 3235-3239, 2015
532015
Parametric dictionary learning for graph signals
D Thanou, DI Shuman, P Frossard
2013 IEEE Global Conference on Signal and Information Processing, 487-490, 2013
482013
Graph learning under sparsity priors
HP Maretic, D Thanou, P Frossard
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
342017
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder
S Itani, D Thanou
Medical image analysis 69, 101986, 2021
272021
Learning graphs from signal observations under smoothness prior
X Dong, D Thanou, P Frossard, P Vandergheynst
arXiv preprint arXiv:1406.7842, 2014
272014
Interpretable stability bounds for spectral graph filters
H Kenlay, D Thanou, X Dong
International conference on machine learning, 5388-5397, 2021
212021
Graph transform optimization with application to image compression
G Fracastoro, D Thanou, P Frossard
IEEE Transactions on Image Processing 29, 419-432, 2019
192019
Reconstruction of time-varying graph signals via sobolev smoothness
JH Giraldo, A Mahmood, B Garcia-Garcia, D Thanou, T Bouwmans
IEEE Transactions on Signal and Information Processing over Networks 8, 201-214, 2022
182022
Graph transform learning for image compression
G Fracastoro, D Thanou, P Frossard
2016 Picture Coding Symposium (PCS), 1-5, 2016
182016
Multi-graph learning of spectral graph dictionaries
D Thanou, P Frossard
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
182015
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