Dorina Thanou

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 34

Top Topics

Motion Estimation And Compensation

Transform Coding

Machine Learning

Top Venues

IEEE Trans. Signal Inf. Process. over Networks

IEEE Trans. Image Process.

Publications

Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard
Generative Modelling of Structurally Constrained Graphs. CoRR (2024)
Sara Mohammadi, Massoud Babaie-Zadeh, Dorina Thanou
Graph Signal Separation Based on Smoothness or Sparsity in the Frequency Domain. IEEE Trans. Signal Inf. Process. over Networks 9 (2023)
Manuel Madeira, Dorina Thanou, Pascal Frossard
Tertiary Lymphoid Structures Generation Through Graph-Based Diffusion. GRAIL/OCELOT@MICCAI (2023)
Manuel Madeira, Dorina Thanou, Pascal Frossard
Tertiary Lymphoid Structures Generation through Graph-based Diffusion. CoRR (2023)
Jhony H. Giraldo, Arif Mahmood, Belmar García García, Dorina Thanou, Thierry Bouwmans
Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Henry Kenlay, Dorina Thanou, Xiaowen Dong
On The Stability of Graph Convolutional Neural Networks Under Edge Rewiring. ICASSP (2021)
Henry Kenlay, Dorina Thanou, Xiaowen Dong
Interpretable Stability Bounds for Spectral Graph Filters. ICML (2021)
Henry Kenlay, Dorina Thanou, Xiaowen Dong
Interpretable Stability Bounds for Spectral Graph Filters. CoRR (2021)
Effrosyni Simou, Dorina Thanou, Pascal Frossard
node2coords: Graph Representation Learning with Wasserstein Barycenters. IEEE Trans. Signal Inf. Process. over Networks 7 (2021)
Sarah Itani, Dorina Thanou
Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder. Medical Image Anal. 69 (2021)
Effrosyni Simou, Dorina Thanou, Pascal Frossard
node2coords: Graph Representation Learning with Wasserstein Barycenters. CoRR (2020)
Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard
Graph signal processing for machine learning: A review and new perspectives. CoRR (2020)
Giulia Fracastoro, Dorina Thanou, Pascal Frossard
Graph Transform Optimization With Application to Image Compression. IEEE Trans. Image Process. 29 (2020)
Henry Kenlay, Dorina Thanou, Xiaowen Dong
On The Stability of Polynomial Spectral Graph Filters. ICASSP (2020)
Xiaowen Dong, Dorina Thanou, Laura Toni, Michael M. Bronstein, Pascal Frossard
Graph Signal Processing for Machine Learning: A Review and New Perspectives. IEEE Signal Process. Mag. 37 (6) (2020)
Henry Kenlay, Dorina Thanou, Xiaowen Dong
On the Stability of Graph Convolutional Neural Networks under Edge Rewiring. CoRR (2020)
Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard
Mask Combination of Multi-Layer Graphs for Global Structure Inference. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Can Yilmaz Altinigne, Dorina Thanou, Radhakrishna Achanta
Height and Weight Estimation from Unconstrained Images. ICASSP (2020)
Sarah Itani, Dorina Thanou
A Graph Signal Processing Framework for the Classification of Temporal Brain Data. EUSIPCO (2020)
Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard
Mask Combination of Multi-layer Graphs for Global Structure Inference. CoRR (2019)
Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard
Learning Graphs From Data: A Signal Representation Perspective. IEEE Signal Process. Mag. 36 (3) (2019)
Sarah Itani, Dorina Thanou
Combining Anatomical and Functional Networks for Neuropathology Identification: A Case Study on Autism Spectrum Disorder. CoRR (2019)
Dorina Thanou, Pascal Frossard
Learning of robust spectral graph dictionaries for distributed processing. EURASIP J. Adv. Signal Process. 2018 (2018)
Xiaowen Dong, Dorina Thanou, Michael G. Rabbat, Pascal Frossard
Learning Graphs from Data: A Signal Representation Perspective. CoRR (2018)
Hermina Petric Maretic, Dorina Thanou, Pascal Frossard
Graph learning under sparsity priors. CoRR (2017)
Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard
Learning Heat Diffusion Graphs. IEEE Trans. Signal Inf. Process. over Networks 3 (3) (2017)
Shuyu Dong, Dorina Thanou, Pierre-Antoine Absil, Pascal Frossard
Learning sparse models of diffusive graph signals. ESANN (2017)
Giulia Fracastoro, Dorina Thanou, Pascal Frossard
Graph-based Transform Coding with Application to Image Compression. CoRR (2017)
Hermina Petric Maretic, Dorina Thanou, Pascal Frossard
Graph learning under sparsity priors. ICASSP (2017)
Vassilis Kalofolias, Andreas Loukas, Dorina Thanou, Pascal Frossard
Learning time varying graphs. ICASSP (2017)
Dorina Thanou, Xiaowen Dong, Daniel Kressner, Pascal Frossard
Learning heat diffusion graphs. CoRR (2016)
Giulia Fracastoro, Dorina Thanou, Pascal Frossard
Graph transform learning for image compression. PCS (2016)
Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst
Learning Laplacian Matrix in Smooth Graph Signal Representations. IEEE Trans. Signal Process. 64 (23) (2016)
Dorina Thanou, Philip A. Chou, Pascal Frossard
Graph-Based Compression of Dynamic 3D Point Cloud Sequences. IEEE Trans. Image Process. 25 (4) (2016)
Dorina Thanou, Pascal Frossard
Multi-graph learning of spectral graph dictionaries. ICASSP (2015)
Dorina Thanou, Philip A. Chou, Pascal Frossard
Graph-based compression of dynamic 3D point cloud sequences. CoRR (2015)
Dorina Thanou, Philip A. Chou, Pascal Frossard
Graph-based motion estimation and compensation for dynamic 3D point cloud compression. ICIP (2015)
Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst
Laplacian matrix learning for smooth graph signal representation. ICASSP (2015)
Dorina Thanou, Pascal Frossard
Distributed signal processing with graph spectral dictionaries. Allerton (2015)
Dorina Thanou, David I. Shuman, Pascal Frossard
Learning Parametric Dictionaries for Signals on Graphs. IEEE Trans. Signal Process. 62 (15) (2014)
Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst
Learning Graphs from Signal Observations under Smoothness Prior. CoRR (2014)
Dorina Thanou, David I. Shuman, Pascal Frossard
Learning parametric dictionaries for graph signals. CoRR (2014)
Dorina Thanou, David I. Shuman, Pascal Frossard
Parametric dictionary learning for graph signals. GlobalSIP (2013)
Dorina Thanou, Effrosini Kokiopoulou, Ye Pu, Pascal Frossard
Distributed Average Consensus With Quantization Refinement. IEEE Trans. Signal Process. 61 (1) (2013)
Dorina Thanou, Effrosini Kokiopoulou, Pascal Frossard
Progressive quantization in distributed average consensus. ICASSP (2012)
Dorina Thanou, Pascal Frossard
Compressed classification of observation sets with linear subspace embeddings. ICASSP (2011)
Dorina Thanou, Effrosini Kokiopoulou, Pascal Frossard
Progressive quantization in distributed average consensus CoRR (2011)
Dorina Thanou, Hyunggon Park, Effrosini Kokiopoulou, Pascal Fwssarr
Polynomial filter design for quantized consensus. EUSIPCO (2010)
Eleni Fotopoulou, Dorina Thanou, Thanos Stouraitis
Comparison of time and frequency domain interpolation implementations for MB-OFDM UWB transmitters. ISCAS (2010)