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ORCIDPierre Vandergheynst
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2023
[i70]Adam Gosztolai, Robert L. Peach, Alexis Arnaudon
, Mauricio Barahona, Pierre Vandergheynst:
Interpretable statistical representations of neural population dynamics and geometry. CoRR abs/2304.03376 (2023)- [i69]Robert L. Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma Mallas, David Sharp, Paresh A. Malhotra, Pierre Vandergheynst, Adam Gosztolai:
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds. CoRR abs/2309.16746 (2023) - 2022
- [j76]Andreas Scheck, Stéphane Rosset, Michaël Defferrard, Andreas Loukas, Jaume Bonet, Pierre Vandergheynst, Bruno E. Correia:
RosettaSurf - A surface-centric computational design approach. PLoS Comput. Biol. 18(3) (2022) - [c133]Daniele Grattarola, Pierre Vandergheynst:
Generalised Implicit Neural Representations. NeurIPS 2022 - [i68]Daniele Grattarola, Pierre Vandergheynst:
Generalised Implicit Neural Representations. CoRR abs/2205.15674 (2022) - 2020
- [c132]Volodymyr Miz, Joëlle Hanna, Nicolas Aspert, Benjamin Ricaud, Pierre Vandergheynst:
What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions. WWW (Companion Volume) 2020: 794-801 - [i67]Volodymyr Miz, Joëlle Hanna, Nicolas Aspert, Benjamin Ricaud, Pierre Vandergheynst:
What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions. CoRR abs/2002.06885 (2020)
2010 – 2019
- 2019
- [c131]Nauman Shahid, Francesco Grassi, Pierre Vandergheynst:
Tensor Robust PCA on Graphs. ICASSP 2019: 5406-5410 - [c130]Nicolas Aspert, Volodymyr Miz, Benjamin Ricaud, Pierre Vandergheynst:
A Graph-Structured Dataset for Wikipedia Research. WWW (Companion Volume) 2019: 1188-1193 - [c129]Volodymyr Miz, Benjamin Ricaud, Kirell Benzi, Pierre Vandergheynst:
Anomaly Detection in the Dynamics of Web and Social Networks Using Associative Memory. WWW 2019: 1290-1299 - [i66]Volodymyr Miz, Benjamin Ricaud, Kirell Benzi, Pierre Vandergheynst:
Anomaly detection in the dynamics of web and social networks. CoRR abs/1901.09688 (2019) - [i65]Nicolas Aspert, Volodymyr Miz, Benjamin Ricaud, Pierre Vandergheynst:
A Graph-structured Dataset for Wikipedia Research. CoRR abs/1903.08597 (2019) - [i64]Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst:
Revisiting hard thresholding for DNN pruning. CoRR abs/1905.08793 (2019) - [i63]Konstantinos Pitas, Andreas Loukas, Mike Davies, Pierre Vandergheynst:
Some limitations of norm based generalization bounds in deep neural networks. CoRR abs/1905.09677 (2019) - 2018
- [j75]Antonio Ortega, Pascal Frossard, Jelena Kovacevic, José M. F. Moura, Pierre Vandergheynst:
Graph Signal Processing: Overview, Challenges, and Applications. Proc. IEEE 106(5): 808-828 (2018) - [j74]Faisal Mahmood, Nauman Shahid, Ulf Skoglund, Pierre Vandergheynst:
Adaptive Graph-Based Total Variation for Tomographic Reconstructions. IEEE Signal Process. Lett. 25(5): 700-704 (2018) - [j73]David I. Shuman, Pierre Vandergheynst, Daniel Kressner, Pascal Frossard:
Distributed Signal Processing via Chebyshev Polynomial Approximation. IEEE Trans. Signal Inf. Process. over Networks 4(4): 736-751 (2018) - [c128]Helena Peic Tukuljac, Thach Pham Vu, Hervé Lissek, Pierre Vandergheynst:
Joint Estimation of the Room Geometry and Modes with Compressed Sensing. ICASSP 2018: 6882-6886 - [c127]Andreas Loukas, Pierre Vandergheynst:
Spectrally Approximating Large Graphs with Smaller Graphs. ICML 2018: 3243-3252 - [c126]Lionel Martin, Andreas Loukas, Pierre Vandergheynst:
Fast Approximate Spectral Clustering for Dynamic Networks. ICML 2018: 3420-3429 - [c125]Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson:
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. ICONIP (1) 2018: 362-373 - [i62]Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst:
PAC-Bayesian Margin Bounds for Convolutional Neural Networks - Technical Report. CoRR abs/1801.00171 (2018) - [i61]Helena Peic Tukuljac, Thach Pham Vu, Hervé Lissek, Pierre Vandergheynst:
Joint Estimation of Room Geometry and Modes with Compressed Sensing. CoRR abs/1802.05879 (2018) - [i60]Andreas Loukas, Pierre Vandergheynst:
Spectrally approximating large graphs with smaller graphs. CoRR abs/1802.07510 (2018) - [i59]Konstantinos Pitas, Mike E. Davies, Pierre Vandergheynst:
FeTa: A DCA Pruning Algorithm with Generalization Error Guarantees. CoRR abs/1803.04239 (2018) - 2017
- [j72]Alessandra Griffa, Benjamin Ricaud, Kirell Benzi, Xavier Bresson, Alessandro Daducci, Pierre Vandergheynst, Jean-Philippe Thiran, Patric Hagmann:
Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems. NeuroImage 155: 490-502 (2017) - [j71]Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst:
Geometric Deep Learning: Going beyond Euclidean data. IEEE Signal Process. Mag. 34(4): 18-42 (2017) - [j70]Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst:
Compressive PCA for Low-Rank Matrices on Graphs. IEEE Trans. Signal Inf. Process. over Networks 3(4): 695-710 (2017) - [j69]Nathanaël Perraudin, Pierre Vandergheynst:
Stationary Signal Processing on Graphs. IEEE Trans. Signal Process. 65(13): 3462-3477 (2017) - [c124]Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst:
Towards stationary time-vertex signal processing. ICASSP 2017: 3914-3918 - [c123]Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson:
FMA: A Dataset for Music Analysis. ISMIR 2017: 316-323 - [d1]Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson:
FMA: A Dataset For Music Analysis. UCI Machine Learning Repository, 2017
- [i58]Johan Paratte, Nathanaël Perraudin, Pierre Vandergheynst:
Compressive Embedding and Visualization using Graphs. CoRR abs/1702.05815 (2017) - [i57]Helena Peic Tukuljac, Hervé Lissek, Pierre Vandergheynst:
Localization of Sound Sources in a Room with One Microphone. CoRR abs/1707.04504 (2017) - [i56]Volodymyr Miz, Kirell Benzi, Benjamin Ricaud, Pierre Vandergheynst:
Wikipedia dynamic patterns discovery. CoRR abs/1710.00398 (2017) - 2016
- [j68]Mahdad Hosseini Kamal, Barmak Heshmat, Ramesh Raskar, Pierre Vandergheynst, Gordon Wetzstein:
Tensor low-rank and sparse light field photography. Comput. Vis. Image Underst. 145: 172-181 (2016) - [j67]Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Gilles Puy, Pierre Vandergheynst:
Fast Robust PCA on Graphs. IEEE J. Sel. Top. Signal Process. 10(4): 740-756 (2016) - [j66]William Guicquero, Antoine Dupret, Pierre Vandergheynst:
An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging. IEEE Trans. Computational Imaging 2(3): 190-203 (2016) - [j65]Kirell Benzi, Benjamin Ricaud, Pierre Vandergheynst:
Principal Patterns on Graphs: Discovering Coherent Structures in Datasets. IEEE Trans. Signal Inf. Process. over Networks 2(2): 160-173 (2016) - [j64]David I. Shuman, Mohammad Javad Faraji, Pierre Vandergheynst:
A Multiscale Pyramid Transform for Graph Signals. IEEE Trans. Signal Process. 64(8): 2119-2134 (2016) - [j63]Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst:
Learning Laplacian Matrix in Smooth Graph Signal Representations. IEEE Trans. Signal Process. 64(23): 6160-6173 (2016) - [c122]Daniele Bortolotti, Andrea Bartolini, Luca Benini, V. Rajesh Pamula, Nick Van Helleputte, Chris Van Hoof, Marian Verhelst, Tobias Gemmeke, Rubén Braojos Lopez, Giovanni Ansaloni, David Atienza, Pierre Vandergheynst:
PHIDIAS: ultra-low-power holistic design for smart bio-signals computing platforms. Conf. Computing Frontiers 2016: 309-314 - [c121]Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund:
Graph-based sinogram denoising for tomographic reconstructions. EMBC 2016: 3961-3664 - [c120]Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst:
Song recommendation with non-negative matrix factorization and graph total variation. ICASSP 2016: 2439-2443 - [c119]Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst:
Accelerated spectral clustering using graph filtering of random signals. ICASSP 2016: 4094-4098 - [c118]Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Benjamin Ricaud, Pierre Vandergheynst:
PCA using graph total variation. ICASSP 2016: 4668-4672 - [c117]Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst:
Compressive Spectral Clustering. ICML 2016: 1002-1011 - [c116]Rodrigo Pena, Xavier Bresson, Pierre Vandergheynst:
Source localization on graphs via ℓ1 recovery and spectral graph theory. IVMSP 2016: 1-5 - [c115]Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst:
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. NIPS 2016: 3837-3845 - [i55]Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst:
Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation. CoRR abs/1601.01892 (2016) - [i54]Nathanaël Perraudin, Pierre Vandergheynst:
Stationary signal processing on graphs. CoRR abs/1601.02522 (2016) - [i53]Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst:
Compressive Spectral Clustering. CoRR abs/1602.02018 (2016) - [i52]Nauman Shahid, Nathanaël Perraudin, Gilles Puy, Pierre Vandergheynst:
Compressive PCA on Graphs. CoRR abs/1602.02070 (2016) - [i51]Faisal Mahmood, Nauman Shahid, Pierre Vandergheynst, Ulf Skoglund:
Graph Based Sinogram Denoising for Tomographic Reconstructions. CoRR abs/1603.04203 (2016) - [i50]Rodrigo Pena, Xavier Bresson, Pierre Vandergheynst:
Source Localization on Graphs via l1 Recovery and Spectral Graph Theory. CoRR abs/1603.07584 (2016) - [i49]Nauman Shahid, Nathanaël Perraudin, Pierre Vandergheynst:
Low-Rank Matrices on Graphs: Generalized Recovery & Applications. CoRR abs/1605.05579 (2016) - [i48]Nathanaël Perraudin, Andreas Loukas, Francesco Grassi, Pierre Vandergheynst:
Towards stationary time-vertex signal processing. CoRR abs/1606.06962 (2016) - [i47]Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst:
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. CoRR abs/1606.09375 (2016) - [i46]Faisal Mahmood, Nauman Shahid, Ulf Skoglund, Pierre Vandergheynst:
Compressed Sensing and Adaptive Graph Total Variation for Tomographic Reconstructions. CoRR abs/1610.00893 (2016) - [i45]Nauman Shahid, Francesco Grassi, Pierre Vandergheynst:
Multilinear Low-Rank Tensors on Graphs & Applications. CoRR abs/1611.04835 (2016) - [i44]Michael M. Bronstein, Joan Bruna, Yann LeCun, Arthur Szlam, Pierre Vandergheynst:
Geometric deep learning: going beyond Euclidean data. CoRR abs/1611.08097 (2016) - [i43]Kirell Benzi, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson:
FMA: A Dataset For Music Analysis. CoRR abs/1612.01840 (2016) - [i42]Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson:
Structured Sequence Modeling with Graph Convolutional Recurrent Networks. CoRR abs/1612.07659 (2016) - 2015
- [j62]Davide Boscaini, Jonathan Masci, Simone Melzi, Michael M. Bronstein, Umberto Castellani, Pierre Vandergheynst:
Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks. Comput. Graph. Forum 34(5): 13-23 (2015) - [j61]Nikola Katic, Mahdad Hosseini Kamal, Alexandre Schmid, Pierre Vandergheynst, Yusuf Leblebici:
Compressive image acquisition in modern CMOS IC design. Int. J. Circuit Theory Appl. 43(6): 722-741 (2015) - [j60]David I. Shuman, Christoph Wiesmeyr, Nicki Holighaus, Pierre Vandergheynst:
Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames. IEEE Trans. Signal Process. 63(16): 4223-4235 (2015) - [c114]Yann Schoenenberger, Johan Paratte, Pierre Vandergheynst:
Graph-based denoising for time-varying point clouds. 3DTV-Conference 2015: 1-4 - [c113]Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson, Pierre Vandergheynst:
Functional correspondence by matrix completion. CVPR 2015: 905-914 - [c112]Hossein Mamaghanian, Pierre Vandergheynst:
Ultra-low-power ECG front-end design based on compressed sensing. DATE 2015: 671-676 - [c111]Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst:
Laplacian matrix learning for smooth graph signal representation. ICASSP 2015: 3736-3740 - [c110]Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst:
Robust Principal Component Analysis on Graphs. ICCV 2015: 2812-2820 - [c109]Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst:
Geodesic Convolutional Neural Networks on Riemannian Manifolds. ICCV Workshops 2015: 832-840 - [i41]Jonathan Masci, Davide Boscaini, Michael M. Bronstein, Pierre Vandergheynst:
ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds. CoRR abs/1501.06297 (2015) - [i40]Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst:
Robust Principal Component Analysis on Graphs. CoRR abs/1504.06151 (2015) - [i39]Kirell Benzi, Benjamin Ricaud, Pierre Vandergheynst:
Principal Patterns on Graphs: Discovering Coherent Structures in Datasets. CoRR abs/1504.08153 (2015) - [i38]Nauman Shahid, Nathanaël Perraudin, Vassilis Kalofolias, Pierre Vandergheynst:
Fast Robust PCA on Graphs. CoRR abs/1507.08173 (2015) - [i37]Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst:
Accelerated Spectral Clustering Using Graph Filtering Of Random Signals. CoRR abs/1509.08863 (2015) - [i36]Yann Schoenenberger, Johan Paratte, Pierre Vandergheynst:
Graph-based denoising for time-varying point clouds. CoRR abs/1511.04902 (2015) - [i35]Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst:
Random sampling of bandlimited signals on graphs. CoRR abs/1511.05118 (2015) - 2014
- [j59]Jan Hendrik Kobarg, Peter Maass, Janina Oetjen, Oren Tropp, Eyal Hirsch, Chen Sagiv, Mohammad Golbabaee, Pierre Vandergheynst:
Numerical experiments with MALDI Imaging data. Adv. Comput. Math. 40(3): 667-682 (2014) - [j58]Mohammad Golbabaee, Alexandre Alahi, Pierre Vandergheynst:
SCOOP: A Real-Time Sparsity Driven People Localization Algorithm. J. Math. Imaging Vis. 48(1): 160-175 (2014) - [j57]Emmanuel d'Angelo, Laurent Jacques, Alexandre Alahi, Pierre Vandergheynst:
From Bits to Images: Inversion of Local Binary Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 874-887 (2014) - [j56]Gilles Puy, Pierre Vandergheynst:
Robust Image Reconstruction from Multiview Measurements. SIAM J. Imaging Sci. 7(1): 128-156 (2014) - [j55]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting. SIAM J. Imaging Sci. 7(4): 2623-2656 (2014) - [j54]Simon Arberet, Pierre Vandergheynst:
Reverberant Audio Source Separation via Sparse and Low-Rank Modeling. IEEE Signal Process. Lett. 21(4): 404-408 (2014) - [j53]Mahsa Shoaran, Mahdad Hosseini Kamal, Claudio Pollo, Pierre Vandergheynst, Alexandre Schmid:
Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition. IEEE Trans. Biomed. Circuits Syst. 8(6): 857-870 (2014) - [j52]Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst, Nikolai Nefedov:
Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds. IEEE Trans. Signal Process. 62(4): 905-918 (2014) - [c108]William Guicquero, Michele Benetti, Arnaud Peizerat, Antoine Dupret, Pierre Vandergheynst:
On compensating unknown pixel behaviors for image sensors with embedded processing. ACSSC 2014: 933-937 - [c107]Mahdad Hosseini Kamal, Paolo Favaro, Pierre Vandergheynst:
A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method. EMMCVPR 2014: 350-363 - [c106]William Guicquero, Pierre Vandergheynst, Timothé Laforest, Antoine Dupret:
On adaptive pixel random selection for compressive sensing. GlobalSIP 2014: 712-716 - [c105]William Guicquero, Pierre Vandergheynst, Timothé Laforest, Arnaud Verdant, Antoine Dupret:
On multiple spectral dependent blurring kernels for super-resolution and hyperspectral imaging. GlobalSIP 2014: 717-721 - [c104]Mauro Mangia, Riccardo Rovatti, Gianluca Setti, Pierre Vandergheynst:
Combining Spread Spectrum Compressive Sensing with rakeness for low frequency modulation in RMPI architecture. ICASSP 2014: 4146-4150 - [c103]Hossein Mamaghanian, Giovanni Ansaloni, David Atienza, Pierre Vandergheynst:
Power-efficient joint compressed sensing of multi-lead ECG signals. ICASSP 2014: 4409-4412 - [c102]Mike E. Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux:
Compressed quantitative MRI: Bloch response recovery through iterated projection. ICASSP 2014: 6899-6903 - [c101]Daniele Bortolotti, Hossein Mamaghanian, Andrea Bartolini, Maryam Ashouei, Jan Stuijt, David Atienza, Pierre Vandergheynst, Luca Benini:
Approximate compressed sensing: ultra-low power biosignal processing via aggressive voltage scaling on a hybrid memory multi-core processor. ISLPED 2014: 45-50 - [i34]Nathanaël Perraudin, David I. Shuman, Gilles Puy, Pierre Vandergheynst:
UNLocBoX A matlab convex optimization toolbox using proximal splitting methods. CoRR abs/1402.0779 (2014) - [i33]Xiaowen Dong, Dorina Thanou, Pascal Frossard, Pierre Vandergheynst:
Learning Graphs from Signal Observations under Smoothness Prior. CoRR abs/1406.7842 (2014) - [i32]Vassilis Kalofolias, Xavier Bresson, Michael M. Bronstein, Pierre Vandergheynst:
Matrix Completion on Graphs. CoRR abs/1408.1717 (2014) - [i31]Nathanaël Perraudin, Johan Paratte, David I. Shuman, Vassilis Kalofolias, Pierre Vandergheynst, David K. Hammond:
GSPBOX: A toolbox for signal processing on graphs. CoRR abs/1408.5781 (2014) - [i30]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - [i29]Jason D. McEwen, Martin Büttner, Boris Leistedt, Hiranya V. Peiris, Pierre Vandergheynst, Yves Wiaux:
On spin scale-discretised wavelets on the sphere for the analysis of CMB polarisation. CoRR abs/1412.1340 (2014) - [i28]Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson, Pierre Vandergheynst:
Functional correspondence by matrix completion. CoRR abs/1412.8070 (2014) - 2013
- [j51]David I. Shuman, Sunil K. Narang, Pascal Frossard, Antonio Ortega, Pierre Vandergheynst:
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains. IEEE Signal Process. Mag. 30(3): 83-98 (2013) - [j50]Simon Arberet, Pierre Vandergheynst, Rafael E. Carrillo, Jean-Philippe Thiran, Yves Wiaux:
Sparse Reverberant Audio Source Separation via Reweighted Analysis. IEEE Trans. Speech Audio Process. 21(7): 1391-1402 (2013) - [j49]Jason D. McEwen, Gilles Puy, Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Van De Ville, Yves Wiaux:
Sparse Image Reconstruction on the Sphere: Implications of a New Sampling Theorem. IEEE Trans. Image Process. 22(6): 2275-2285 (2013) - [j48]Mohammad Golbabaee, Simon Arberet, Pierre Vandergheynst:
Compressive Source Separation: Theory and Methods for Hyperspectral Imaging. IEEE Trans. Image Process. 22(12): 5096-5110 (2013) - [j47]Hossein Afshari, Laurent Jacques, Luigi Bagnato, Alexandre Schmid, Pierre Vandergheynst, Yusuf Leblebici:
The PANOPTIC Camera: A Plenoptic Sensor with Real-Time Omnidirectional Capability. J. Signal Process. Syst. 70(3): 305-328 (2013) - [c100]William Guicquero, Antoine Dupret, Pierre Vandergheynst:
An adaptive compressive sensing with side information. ACSSC 2013: 138-142 - [c99]William Guicquero, Antoine Dupret, Pierre Vandergheynst:
Multi-capture High Dynamic Range compressive imaging. ACSSC 2013: 143-147 - [c98]Mahdad Hosseini Kamal, Hossein Afshari, Yusuf Leblebici, Alexandre Schmid, Pierre Vandergheynst:
Interconnected network of cameras. Sensors, Cameras, and Systems for Industrial and Scientific Applications 2013: 86590P - [c97]Xiaowen Dong, Pascal Frossard, Pierre Vandergheynst, Nikolai Nefedov:
Clustering on multi-layer graphs via subspace analysis on Grassmann manifolds. GlobalSIP 2013: 993-996 - [c96]Nikola Katic, Mahdad Hosseini Kamal, Mustafa Kilic, Alexandre Schmid, Pierre Vandergheynst, Yusuf Leblebici:
High frame-rate low-power compressive sampling CMOS image sensor architecture: [extended abstract]. ACM Great Lakes Symposium on VLSI 2013: 313-314 - [c95]Xiaowen Dong, Antonio Ortega, Pascal Frossard, Pierre Vandergheynst:
Inference of mobility patterns via Spectral Graph Wavelets. ICASSP 2013: 3118-3122 - [c94]Mahdad Hosseini Kamal, Pierre Vandergheynst:
Joint low-rank and sparse light field modelling for dense multiview data compression. ICASSP 2013: 3831-3835 - [c93]