Pierre Vandergheynst
Vice-President for Education
pierre.vandergheynst@epfl.ch +41 21 693 56 45 http://lts2.epfl.ch
EPFL VPE
CE 3 304 (Centre Est)
Station 1
CH-1015 Lausanne
+41 21 693 56 45
+41 21 693 79 74
Office: CE 3 301
EPFL > E > E-EBM > EBM
Web site: Web site: https://decanat-bama.epfl.ch/
EPFL VPE
CE 3 304 (Centre Est)
Station 1
CH-1015 Lausanne
+41 21 693 56 45
+41 21 693 79 74
Office: CE 3 301
EPFL > E > E-VP > VPE
Web site: Web site: https://vpe.epfl.ch/
EPFL STI IEL LTS2
ELE 235 (Bâtiment ELE)
Station 11
CH-1015 Lausanne
+41 21 693 56 45
+41 21 693 26 01
Office: ELE 235
EPFL > STI > IEL > LTS2
Web site: Web site: https://lts2.epfl.ch/
EPFL IC-DO
ELB 114 (Bâtiment ELB)
Station 11
CH-1015 Lausanne
Web site: Web site: https://ic.epfl.ch/page8797.html
+41 21 693 56 45
EPFL > E > E-EBM > CDS
Web site: Web site: https://dms.epfl.ch/DOCS/E/CDS
+41 21 693 56 45
EPFL > E > E-DOC > CDOCT
Fields of expertise
data science
machine learning
computational harmonic analysis
inverse problems
compressive sensing
computer vision
machine learning
computational harmonic analysis
inverse problems
compressive sensing
computer vision
Links
Mission
Data nowadays come in overwhelming volume. In order to cope with this deluge, we explore and use the benefits of geometry and symmetry in higher dimensional data. But volume is not the only problem: data models are also increasingly complex, mixing various components. We thus use redundant dictionaries as a dimensionality reduction tool to dig out information from complicated high-dimensional datasets and multichannel signals, or to model complex behaviours in more classical signals. Finally data can also be complex because they are collected on surfaces, or more generally manifolds, or because they are not scalar-valued. We thus explore extensions of Computational Harmonic Analysis in higher dimensions, in complex geometries or for non-scalar data.
Visit our lab web pages.
Visit our lab web pages.
Biography
Pierre Vandergheynst received the M.S. degree in physics and the Ph.D. degree in mathematical
physics from the Université catholique de Louvain, Louvain-la-Neuve, Belgium, in 1995 and 1998, respectively. From 1998 to 2001, he was a Postdoctoral Researcher with the Signal Processing Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was Assistant Professor at EPFL (2002-2007), where he is now a Full Professor of Electrical Engineering and, by courtesy, of Computer and Communication Sciences. As of 2015, Prof. Vandergheynst serves as EPFL’s Vice-Provost for Education.
His research focuses on harmonic analysis, sparse approximations and mathematical data processing in general with applications covering signal, image and high dimensional data processing, computer vision, machine learning, data science and graph-based data processing.
He was co-Editor-in-Chief of Signal Processing (2002-2006), Associate Editor of the IEEE Transactions on Signal Processing (2007-2011), the flagship journal of the signal processing community and currently serves as Associate Editor of Computer Vision and Image Understanding and SIAM Imaging Sciences. He has been on the Technical Committee of various conferences, serves on the steering committee of the SPARS workshop and was co-General Chairman of the EUSIPCO 2008 conference.
Pierre Vandergheynst is the author or co-author of more than 70 journal papers, one monograph and several book chapters. He has received two IEEE best paper awards. Professor Vandergheynst is a laureate of the Apple 2007 ARTS award and of the 2009-2010 De Boelpaepe prize of the Royal Academy of Sciences of Belgium.
physics from the Université catholique de Louvain, Louvain-la-Neuve, Belgium, in 1995 and 1998, respectively. From 1998 to 2001, he was a Postdoctoral Researcher with the Signal Processing Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was Assistant Professor at EPFL (2002-2007), where he is now a Full Professor of Electrical Engineering and, by courtesy, of Computer and Communication Sciences. As of 2015, Prof. Vandergheynst serves as EPFL’s Vice-Provost for Education.
His research focuses on harmonic analysis, sparse approximations and mathematical data processing in general with applications covering signal, image and high dimensional data processing, computer vision, machine learning, data science and graph-based data processing.
He was co-Editor-in-Chief of Signal Processing (2002-2006), Associate Editor of the IEEE Transactions on Signal Processing (2007-2011), the flagship journal of the signal processing community and currently serves as Associate Editor of Computer Vision and Image Understanding and SIAM Imaging Sciences. He has been on the Technical Committee of various conferences, serves on the steering committee of the SPARS workshop and was co-General Chairman of the EUSIPCO 2008 conference.
Pierre Vandergheynst is the author or co-author of more than 70 journal papers, one monograph and several book chapters. He has received two IEEE best paper awards. Professor Vandergheynst is a laureate of the Apple 2007 ARTS award and of the 2009-2010 De Boelpaepe prize of the Royal Academy of Sciences of Belgium.
Publications
Infoscience publications
Recent publications (2009-present)
V. Miz; J. Hanna; N. Aspert; B. Ricaud; P. Vandergheynst : What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions. 2020-04-20. The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020. DOI : 10.1145/3366424.3383567.
B. Ricaud; P. Borgnat; N. Tremblay; P. Goncalves; P. Vandergheynst : Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs; Comptes Rendus Physique. 2019-07-01. DOI : 10.1016/j.crhy.2019.08.003.
N. Aspert; V. Miz; B. Ricaud; P. Vandergheynst : A Graph-structured Dataset for Wikipedia Research. 2019-05-13. Companion Proceedings of the 2019 World Wide Web Conference (WWW '19 Companion), San Francisco, CA, USA, May 13-17, 2019. DOI : 10.1145/3308560.3316757.
N. Shahid; F. Grassi; P. Vandergheynst : Tensor Robust Pca On Graphs. 2019-01-01. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, ENGLAND, May 12-17, 2019. p. 5406-5410.
V. Miz; B. Ricaud; K. Benzi; P. Vandergheynst : Anomaly Detection in the Dynamics of Web and Social Networks Using Associative Memory. 2019-01-01. World Wide Web Conference (WWW), San Francisco, CA, May 13-17, 2019. p. 1290-1299. DOI : 10.1145/3308558.3313541.
V. Miz; B. Ricaud; K. Benzi; P. Vandergheynst : Anomaly detection in the dynamics of web and social networks. 2019. The Web Conference 2019, San Francisco, California, USA, May 13-17, 2019.
A. Loukas; P. Vandergheynst : Spectrally approximating large graphs with smaller graphs. 2018-07-10. International Conference in Machine Learning (ICML), Stockholmsmässan, Sweden, July 10-15, 2018.
P. Vandergheynst; R. Tormey; L. S. Costiner; S. I. B. Kenderdine : Computational Thinking and Thinking Computationally; Dia-logos, Ramon Llull's Method of Thought and Artistic Practice; Minneapolis: University of Minnesota Press, 2018.
H. P. Tukuljac; Thach Pham Vu; H. Lissek; P. Vandergheynst : Joint Estimation Of The Room Geometry And Modes With Compressed Sensing. 2018-01-01. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, CANADA, Apr 15-20, 2018. p. 6882-6886.
F. Mahmood; N. Shahid; U. Skoglund; P. Vandergheynst : Adaptive Graph-Based Total Variation for Tomographic Reconstructions; IEEE SIGNAL PROCESSING LETTERS. 2018. DOI : 10.1109/LSP.2018.2816582.
A. Ortega; P. Frossard; J. Kovacevic; J. M. F. Moura; P. Vandergheynst : Graph Signal Processing: Overview, Challenges and Applications; Proceedings of the IEEE. 2018. DOI : 10.1109/JPROC.2018.2820126.
L. Martin; A. Loukas; P. Vandergheynst : Fast Approximate Spectral Clustering for Dynamic Networks. 2018. International Conference in Machine Learning (ICML), Stockholmsmässan, Sweden, July 10-15, 2018.
G. Puy; N. Tremblay; R. Gribonval; P. Vandergheynst : Random sampling of bandlimited signals on graphs; Applied and Computational Harmonic Analysis. 2018. DOI : 10.1016/j.acha.2016.05.005.
N. Perraudin; B. Ricaud; D. I. Shuman; P. Vandergheynst : Global and Local Uncertainty Principles for Signals on Graphs; APSIPA Transactions on Signal and Information Processing. 2018. DOI : 10.1017/ATSIP.2018.2.
D. I. Shuman; P. Vandergheynst; D. Kressner; P. Frossard : Distributed Signal Processing via Chebyshev Polynomial Approximation; IEEE Transactions on Signal and Information Processing over Networks. 2018. DOI : 10.1109/TSIPN.2018.2824239.
N. Perraudin; A. Loukas; F. Grassi; P. Vandergheynst : Towards Stationary Time-Vertex Signal Processing. 2017. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), New Orleans, LA, MAR 05-09, 2017. p. 3914-3918.
P. Vandergheynst; B. Ricaud; K. Benzi ; System, device, and method for contextual knowledge retrieval and display. WO2017187401 . 2017.
H. Peic Tukuljac; H. Lissek; P. Vandergheynst : Localization of Sound Sources in a Room with One Microphone. 2017. Wavelets and Sparsity XVII, San Diego, California, USA, August 6-9, 2017. p. 1039401. DOI : 10.1117/12.2271249.
A. Griffa; B. Ricaud; K. Benzi; X. Bresson; A. Daducci et al. : Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems; Neuroimage. 2017. DOI : 10.1016/j.neuroimage.2017.04.015.
J. Paratte; N. Perraudin; P. Vandergheynst : Compressive Embedding and Visualization using Graphs. 2017.
Y. Seo; M. Defferrard; P. Vandergheynst; X. Bresson : Structured Sequence Modeling with Graph Convolutional Recurrent Networks. 2017.
M. Defferrard; K. Benzi; P. Vandergheynst; X. Bresson : FMA: A Dataset For Music Analysis. 2017. 18th International Society for Music Information Retrieval Conference, Suzhou, China, October 23-28, 2017.
K. Smith; B. Ricaud; N. Shahid; S. Rhodes; J. M. Starr et al. : Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy; Scientific reports, Nature. 2017. DOI : 10.1038/srep42013.
M. Bronstein; J. Bruna; Y. LeCun; A. Szlam; P. Vandergheynst : Geometric deep learning: going beyond Euclidean data; IEEE Signal Processing Magazine. 2017. DOI : 10.1109/Msp.2017.2693418.
N. Perraudin; P. Vandergheynst : Stationary signal processing on graphs; IEEE Transactions on Signal Processing. 2017. DOI : 10.1109/Tsp.2017.2690388.
W. Guicquero; A. Dupret; P. Vandergheynst : An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging; Ieee Transactions On Computational Imaging. 2016. DOI : 10.1109/Tci.2016.2557073.
N. Perraudin; A. Loukas; F. Grassi; P. Vandergheynst : Towards stationary time-vertex signal processing. 2016. International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA.
N. Shahid; F. Grassi; P. Vandergheynst : Multilinear Low-Rank Tensors on Graphs & Applications. 2016.
M. H. Kamal; B. Heshmat; R. Raskar; P. Vandergheynst; G. Wetzstein : Tensor low-rank and sparse light field photography; Computer Vision And Image Understanding. 2016. DOI : 10.1016/j.cviu.2015.11.004.
M. Defferrard; X. Bresson; P. Vandergheynst : Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. 2016. Advances in Neural Information Processing Systems 29, Barcelona, Spain, December 5-10, 2016.
N. Tremblay; G. Puy; R. Gribonval; P. Vandergheynst : Compressive Spectral Clustering. 2016. 33rd International Conference on Machine Learning (ICML), New York, USA, June 19-24.
R. Cerqueira Gonzalez Pena; X. Bresson; P. Vandergheynst : Source Localization on Graphs via l1 Recovery and Spectral Graph Theory. 2016. 12th IEEE Image, Video, and Multidimensional Signal Processing (IVMSP) Workshop 2016, Bordeaux, France, July 11-12, 2016.
N. Shahid; N. Perraudin; P. Vandergheynst : Low-Rank Matrices on Graphs: Generalized Recovery & Applications. 2016.
C. Vanwynsberghe; P. Challenge; R. Leiba; J. Marchal; R. Marchiano et al. : Localisation et identification spectrale conjointe de sources large bande par parcimonie groupée. 2016. Congrès Français d'Acoustique, Le Mans, France, April 2016.
F. Mahmood; N. Shahid; P. Vandergheynst; U. Skoglund : Graph Based Sinogram Denoising for Tomographic Reconstructions. 2016.
N. Shahid; N. Perraudin; G. Puy; P. Vandergheynst : Compressive PCA for Low-Rank Matrices on Graphs. 2016. p. 695-710. DOI : 10.1109/Tsipn.2016.2631890.
K. Benzi; B. Ricaud; P. Vandergheynst : Principal Patterns on Graphs: Discovering Coherent Structures in Datasets; IEEE Transactions on Signal and Information Processing over Networks. 2016. DOI : 10.1109/TSIPN.2016.2524500.
K. Benzi; V. Kalofolias; X. Bresson; P. Vandergheynst : Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation. 2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, March 20-25. p. 2439-2443.
N. Shahid; N. Perraudin; V. Kalofolias; B. Ricaud; P. Vandergheynst : PCA using graph total variation. 2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, 20-25 March 2016. p. 4668-4672.
N. Tremblay; G. Puy; P. Borgnat; R. Gribonval; P. Vandergheynst : Accelerated Spectral Clustering Using Graph Filtering of Random Signals. 2016. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China. p. 4094-4098.
N. Shahid; N. Perraudin; V. Kalofolias; G. Puy; P. Vandergheynst : Fast Robust PCA on Graphs; IEEE Journal of Selected Topics in Signal Processing. 2016. DOI : 10.1109/Jstsp.2016.2555239.
D. Shuman; M. Faraji; P. Vandergheynst : A Multiscale Pyramid Transform for Graph Signals; IEEE Transactions on Signal Processing. 2016. DOI : 10.1109/TSP.2015.2512529.
X. Dong; D. Thanou; P. Frossard; P. Vandergheynst : Learning Laplacian Matrix in Smooth Graph Signal Representations; IEEE Transactions on Signal Processing. 2016. DOI : 10.1109/TSP.2016.2602809.
D. Shuman; B. Ricaud; P. Vandergheynst : Vertex-Frequency Analysis on Graphs; Applied And Computational Harmonic Analysis. 2016. DOI : 10.1016/j.acha.2015.02.005.
A. Susnjara; N. Perraudin; D. Kressner; P. Vandergheynst : MATHICSE Technical Report : Accelerated filtering on graphs using Lanczos method. 2015-09.
K. Benzi; A. Griffa; B. Ricaud; P. Vandergheynst; J.-P. Thiran et al. : Dynamic activation patterns in brain MRI data. 2015. 25th Colloque Gretsi, Lyon.
A. Griffa; K. Benzi; B. Ricaud; X. Bresson; P. Vandergheynst et al. : Mapping resting-state dynamics on spatio-temporal graphs: a combined functional and diffusion MRI approach. 2015. 23rd International Symposium on Magnetic Resonance in Medicine (ISMRM), Toronto.
P. Vandergheynst : Random Sampling of Bandlimited Signals on Graphs ; NIPS2015 Workshop on Multiresolution Methods for Large Scale Learning, Montréal, December 12th, 2015.
H. Mamaghanian; P. Vandergheynst : Ultra-low-power ECG front-end design based on compressed sensing. 2015. 2015 Design, Automation and Test in Europe Conference (DATE ‘15), Grenoble, France, March 9-13, 2015. p. 671-676.
D. Boscaini; J. Masci; S. Mezi; M. M. Bronstein; U. Castellani et al. : Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks; Computer Graphics Forum. 2015. DOI : 10.1111/cgf.12693.
G. Puy; N. Tremblay; R. Gribonval; P. Vandergheynst : Random sampling of bandlimited signals on graphs. 2015.
M. H. Kamal; P. Favaro; P. Vandergheynst : A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method. 2015. 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Hong Kong, PEOPLES R CHINA, JAN 13-16, 2015. p. 350-363.
N. Shahid; V. Kalofolias; X. Bresson; M. Bronstein; P. Vandergheynst : Robust Principal Component Analysis on Graphs. 2015. International Conference on Computer Vision (ICCV) 2015, Santiago, Chile, December 11-18, 2015.
Y. M. Schoenenberger; J. Paratte; P. Vandergheynst : Graph-based denoising for time-varying point clouds. 2015. 3DTV Conference 2015, Lisbon, Portugal, July 8-10, 2015.
X. Dong; D. Thanou; P. Frossard; P. Vandergheynst : Laplacian Matrix Learning for Smooth Graph Signal Representation. 2015. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April, 2015.
J. Masci; D. Boscaini; M. Bronstein; P. Vandergheynst : ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds. 2015.
V. Kalofolias; X. Bresson; M. Bronstein; P. Vandergheynst : Enhanced Matrix Completion with Manifold Learning ; International BASP Frontiers Workshop 2015, Villars-sur-Ollon, Switzerland, January 25 - 30, 2015.
D. Shuman; C. Wiesmeyr; N. Holighaus; P. Vandergheynst : Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames; IEEE Transactions on Signal Processing. 2015. DOI : 10.1109/Tsp.2015.2424203.
J. D. Mcewen; M. Büttner; B. Leistedt; H. V. Peiris; P. Vandergheynst et al. : On spin scale-discretised wavelets on the sphere for the analysis of CMB polarisation. 2014. p. 64-67. DOI : 10.1017/S1743921314011107.
A. Alahi; P. Vandergheynst; K. Benzi ; System and method for media library navigation and recommendation. WO2014002064 . 2014.
V. Kalofolias; X. Bresson; M. Bronstein; P. Vandergheynst : Matrix Completion on Graphs ; UCL - Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD 2014), London, England, September 4-5, 2014.
V. Kalofolias; X. Bresson; M. Bronstein; P. Vandergheynst : Matrix Completion on Graphs. 2014. Neural Information Processing Systems 2014, Workshop "Out of the Box: Robustness in High Dimension", Montreal, Canada, December 8-13, 2014.
M. Hosseini Kamal; P. Favaro; P. Vandergheynst : A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method. 2014. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Hong Kong, China.
J. H. Kobarg; P. Maass; J. Oetjen; O. Tropp; E. Hirsch et al. : Numerical experiments with MALDI Imaging data; Advances In Computational Mathematics. 2014. DOI : 10.1007/s10444-013-9325-0.
D. Bortolotti; H. Mamaghanian; A. Bartolini; M. Ashouei; J. Stuijt et al. : Approximate Compressed Sensing: Ultra-Low Power Biosignal Processing via Aggressive Voltage Scaling on a Hybrid Memory Multi-core Processor. 2014. International Symposium on Low Power Electronics and Design (ISLPED 2014), La Jolla, California, USA, August 11-13, 2014. p. 40-45. DOI : 10.1145/2627369.2627629.
G. Puy; P. Vandergheynst : Robust Image Reconstruction from Multiview Measurements; Siam Journal On Imaging Sciences. 2014. DOI : 10.1137/120902586.
H. Mamaghanian; D. Atienza Alonso; P. Vandergheynst : Ultra low power design of hardware efficient CS-Based compression scheme in WBSN. 2014. CT-Energy Community Workshop, Barcelona, Spain, April 23-25, 2014.
H. Mamaghanian; G. Ansaloni; M. M. S. Aly; D. Atienza Alonso; P. Vandergheynst : Hardware-Software Inexactness in Noise-aware Design of Low-Power Body Sensor Nodes. 2014. Designing with Uncertainty - Opportunities & Challenges, York, United Kingdom, March 17-19 , 2014.
H. Mamaghanian; G. Ansaloni; D. Atienza Alonso; P. Vandergheynst : Power-Efficient Joint Compressed Sensing of Multi-Lead ECG Signals. 2014. 39th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), Florence, Italy, May 5-9 2014. p. 4409-4412.
M. Davies; G. Puy; P. Vandergheynst; Y. Wiaux : A Compressed Sensing Framework for Magnetic Resonance Fingerprinting; Siam Journal On Imaging Sciences. 2014. DOI : 10.1137/130947246.
M. Davies; G. Puy; P. Vandergheynst; Y. Wiaux : Compressed Quantitative MRI: Bloch Response Recovery through iterated projection. 2014. IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP), Florence, Italy. DOI : 10.1109/ICASSP.2014.6854937.
M. Shoaran; M. Hosseini Kamal; C. Pollo; P. Vandergheynst; A. Schmid : Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition; IEEE Transactions on Biomedical Circuits and Systems. 2014. DOI : 10.1109/TBCAS.2014.2304582.
S. Arberet; P. Vandergheynst : Reverberant Audio Source Separation via Sparse and Low-Rank Modeling; IEEE Signal Processing Letters. 2014. DOI : 10.1109/LSP.2014.2303135.
A. Alahi; M. Bierlaire; P. Vandergheynst : Robust Real-time Pedestrians Detection in Urban Environments with a Network of Low Resolution Cameras; Transportation Research Part C: Emerging Technologies. 2014. DOI : 10.1016/j.trc.2013.11.019.
X. Dong; P. Frossard; P. Vandergheynst; N. Nefedov : Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds; IEEE Transactions on Signal Processing. 2014. DOI : 10.1109/TSP.2013.2295553.
G. Puy; P. Vandergheynst : Robust image reconstruction from multi-view measurements; SIAM Journal on Imaging Sciences. 2014. DOI : 10.1137/120902586.
E. D'Angelo; L. Jacques; A. Alahi; P. Vandergheynst : From Bits to Images: Inversion of Local Binary Descriptors; IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. DOI : 10.1109/TPAMI.2013.228.
E. D'angelo; P. Vandergheynst ; Method to compensate the effect of the rolling shutter effect. US8350922 ; US2011267514 . 2013.
M. H. Kamal; P. Vandergheynst : Joint Low-Rank And Sparse Light Field Modelling For Dense Multiview Data Compression. 2013. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). p. 3831-3835.
G. Puy; P. Vandergheynst : Joint image registration and reconstruction from compressed multi-view measurements. 2013. Conference on Wavelets and Sparsity XV. DOI : 10.1117/12.2023916.
B. Ricaud; D. I. Shuman; P. Vandergheynst : On the Sparsity of Wavelet Coefficients for Signals on Graphs. 2013. Conference on Wavelets and Sparsity XV. DOI : 10.1117/12.2022850.
N. Katic; M. Hosseini Kamal; A. Schmid; P. Vandergheynst; Y. Leblebici : Compressive Image Acquisition in Modern CMOS IC Design; International Journal of Circuit Theory and Applications. 2013. DOI : 10.1002/cta.1969.
X. Dong; P. Frossard; P. Vandergheynst; N. Nefedov : Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds. 2013. IEEE Global Conference on Signal and Information Processing, Austin, Texas, USA, December 3-5, 2013.
D. I. Shuman; S. K. Narang; P. Frossard; A. Ortega; P. Vandergheynst : The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains; IEEE Signal Processing Magazine. 2013. DOI : 10.1109/Msp.2012.2235192.
P. Vandergheynst : Traitement du signal sur les graphes ; 2013 GRETSI Symposium, Brest, France, September 3-6, 2013.
J. McEwen; P. Vandergheynst; Y. Wiaux : On the computation of directional scale-discretized wavelet transforms on the sphere. 2013. Wavelets and Sparsity XV, San Diego, August 26-29, 2013.
M. Golbabaee; P. Vandergheynst : compressive source separation for hyperspectral imaging. 2013.
N. Katic; M. Hosseini Kamal; M. Kilic; A. Schmid; P. Vandergheynst et al. : High Frame-Rate Low-Power Compressive Sampling CMOS Image Sensor Architecture ; 23rd Great Lakes Symposium on VLSI, Paris, France, May 2-3, 2013.
N. Katic; M. Hosseini Kamal; M. Kilic; A. Schmid; P. Vandergheynst et al. : Power-Efficient CMOS Image Acquisition System based on Compressive Sampling. 2013. 56th IEEE International Midwest Symposium on Circuits and Systems, Columbus, Ohio, USA, August 4-7, 2013.
N. Katic; M. Hosseini Kamal; M. Kilic; A. Schmid; P. Vandergheynst et al. : Column-Separated Compressive Sampling Scheme for Low Power CMOS Image Sensors. 2013. 11th IEEE International New Circuits and Systems (NEWCAS) Conference, Paris, France, June 16-19, 2013.
X. Dong; A. Ortega; P. Frossard; P. Vandergheynst : Inference of Mobility Patterns via Spectral Graph Wavelets. 2013. IEEE ICASSP, Vancouver, Canada, May 26-31, 2013.
M. Hosseini Kamal; H. Afshari; Y. Leblebici; A. Schmid; P. Vandergheynst : Interconnected Network of Cameras. 2013. IS&T/SPIE Electronic Imaging, Burlingame, California, USA, February 3, 2013. DOI : 10.1117/12.2004736.
G. Puy; G. V. Bonanno; M. Stuber; P. Vandergheynst : Joint reconstruction of misaligned images from incomplete measurements for cardiac MRI. 2013. 10th International Conference on Sampling Theory and Applications (SAMPTA), Bremen, Germany, July 2013.
G. Puy; P. Vandergheynst : Non-convex optimization for robust multi-view imaging ; International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop, Villars-sur-Ollon, Switzerland, January, 2013.
M. Hosseini Kamal; P. Vandergheynst : Multichannel Blind Deconvolution Using Low-rank and Sparse Decomposition. 2013. SPARS, 2013.
G. Puy; P. Vandergheynst : Image reconstruction of non-planar scenes from compressed multi-view measurements. 2013. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS 2013), Lausanne, 2013.
M. Hosseini Kamal; M. Shoaran; Y. Leblebici; A. Schmid; P. Vandergheynst : Compressive Multichannel Cortical Signal Recording. 2013. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vancouver, Canada, May 26-31, 2013. p. 4305-4309.
M. Hosseini Kamal; P. Vandergheynst : Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression. 2013. ICASSP.
B. Leistedt; J. McEwen; P. Vandergheynst; Y. Wiaux : S2LET: A code to perform fast wavelet analysis on the sphere; Astronomy and Astrophysics. 2013. DOI : 10.1051/0004-6361/201220729.
G. Puy; P. Vandergheynst : Non-convex optimization for robust multi-view imaging. 2013. International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop, Villars-sur-Ollon, Switzerland, January, 2013.
M. Golbabaee; S. Arberet; P. Vandergheynst : Compressive Source Separation: Theory and Methods for Hyperspectral Imaging; IEEE Transactions on Image Processing. 2013. DOI : 10.1109/Tip.2013.2281405.
S. Arberet; P. Vandergheynst; R. Carrillo; J.-P. Thiran; Y. Wiaux : Sparse Reverberant Audio Source Separation via Reweighted Analysis; IEEE Transactions on Audio Speech and Language Processing. 2013. DOI : 10.1109/Tasl.2013.2250962.
H. Afshari; L. Jacques; L. Bagnato; A. Schmid; P. Vandergheynst et al. : The PANOPTIC Camera: A Plenoptic Sensor with Real-Time Omnidirectional Capability; Journal of Signal Processing Systems for Signal, Image and Video Technology. 2013. DOI : 10.1007/s11265-012-0668-4.
J. McEwen; G. Puy; J.-P. Thiran; P. Vandergheynst; D. Van De Ville et al. : Sparse image reconstruction on the sphere: implications of a new sampling theorem; IEEE Transactions on Image Processing. 2013. DOI : 10.1109/TIP.2013.2249079.
L. Bagnato; L. Jacques; P. Vandergheynst; H. Afshari; A. Schmid et al. ; Omnidirectional sensor array system. US10362225 ; US2018220070 ; US9876953 ; US2014146132 ; WO2012056437 . 2012.
H. Mamaghanian; V. Rincon; N. Khaled; A. Atienza; P. Vandergheynst ; Automatic online delineation of a multi-lead electrocardiogram bio signal. US2014148714 ; EP2654557 ; WO2012085841 . 2012.
M. Flierl; B. Girod; P. Vandergheynst ; Image transform for video coding. US8300693 ; US2006159179 . 2012.
P. Vandergheynst : Analyse de données en grande dimension sur graphes et réseaux ; Journée Mathématiques et Grandes Dimensions, Polytech Lyon, December 10, 2012.
M. Golbabaee; P. Vandergheynst : Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices; IEEE Transactions on Information Theory. 2012.
M. Golbabaee; P. Vandergheynst : Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices. 2012.
G. Puy; P. Vandergheynst : Robust joint reconstruction of misaligned images using semi-parametric dictionaries ; ICML Workshop on Sparsity, Dictionaries and Projections in Machine Learning and Signal Processing, Edinburgh, June 30, 2012.
G. Puy; P. Vandergheynst : Robust joint reconstruction of misaligned images using semi-parametric dictionaries ; Workshop on Sparsity, Localization and Dictionary Learning, London, June 26, 2012.
E. D'Angelo; A. Alahi; P. Vandergheynst : Beyond Bits: Reconstructing Images from Local Binary Descriptors. 2012. 21st International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012.
H. Mamaghanian; N. Khaled; D. Atienza Alonso; P. Vandergheynst : Design and Exploration of Low-Power Analog to Information Conversion Based on Compressed Sensing; IEEE Journal of Emerging and Selected Topics in Circuits and Systems. 2012. DOI : 10.1109/JETCAS.2012.2220253.
G. Puy; P. Vandergheynst : Robust joint reconstruction of misaligned images using semi-parametric dictionaries. 2012. ICML Workshop on Sparsity, Dictionaries and Projections in Machine Learning and Signal Processing, Edinburgh, Scotland, June 30, 2012.
D. Shuman; B. Ricaud; P. Vandergheynst : A Windowed Graph Fourier Transform. 2012. IEEE Statistical Signal Processing Workshop, Ann Arbor, Michigan, USA, August 5-8, 2012. p. 133-136. DOI : 10.1109/SSP.2012.6319640.
H. Afshari; V. Popovic; J. Laurent; L. Bagnato; M. Hosseini Kamal et al. : A Real-time Multi-camera System with Omnidirectional Image Reconstruction Capability ; ICCP2012, Seattle, WA, USA, April 27-29, 2012.
A. Alahi; L. Bagnato; D. Matti; P. Vandergheynst : Foreground Silhouette Extraction robust to Sudden Changes of background Appearance. 2012. IEEE International conference on Image Processing, Orlando, Florida, USA, September 30 - October 3, 2012. DOI : 10.1109/ICIP.2012.6467088.
L. Bagnato; P. Frossard; P. Vandergheynst : Plenoptic Spherical Sampling. 2012. 2012 IEEE International Conference on Image Processing, Disney Coronado Springs Resort, Florida, USA, September 30, October 3, 2012.
A. Alahi; R. Ortiz; P. Vandergheynst : FREAK: Fast Retina Keypoint. 2012. IEEE Conference on Computer Vision and Pattern Recognition, Rhode Island, Providence, USA, June 16-21, 2012.
M. Hosseini Kamal; M. Golbabaee; P. Vandergheynst : Light Field Compressive Sensing. 2012. 1st International Traveling Workshop for Interacting Sparse Models and Technology, Marseille, France.
M. Hosseini Kamal; P. Vandergheynst : Light Field Tensor Recovery. 2012. IEEE International Conference on Image Processing, Orlando, Florida, USA.
M. Golbabaee; P. Vandergheynst : JOINT TRACE/TV NORM MINIMIZATION: A NEW EFFICIENT APPROACH FOR SPECTRAL COMPRESSIVE IMAGING. 2012. IEEE International Conference on Image Processing (ICIP 2012).
A. Llagostera Casanovas; P. Vandergheynst : Audio-Visual Object Extraction using Graph Cuts; IEEE Transactions on Image Processing. 2012.
A. Rahmoune; P. Vandergheynst; P. Frossard : Sparse Approximation Using M-Term Pursuit and Application in Image and Video Coding; IEEE Transactions on Image Processing. 2012. DOI : 10.1109/TIP.2011.2181525.
I. Bogdanova Vandergheynst; R. Vallejos; F. Javier; D. Atienza Alonso : A Multi-Lead ECG Classification Based on Random Projection Features. 2012. 37th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), Kyoto, Japan, March 25-30, 2012. p. 625-628.
M. Hosseini Kamal; M. Golbabaee; P. Vandergheynst : Light Field Compressive Sensing in Camera Arrays. 2012. The 37th International Conference on Acoustics, Speech, and Signal Processing, Kyoto, Japan, March 25 - 30, 2012. p. 5413-5416.
M. Golbabaee; P. Vandergheynst : Hyperspectral Image Compressed Sensing Via Low-Rank And Joint-Sparse Matrix Recovery. 2012. The 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012). p. 2741-2744.
M. Golbabaee; A. Alahi; P. Vandergheynst : SCOOP: A Real-Time Sparsity Driven People Localization Algorithm; Journal Of Mathematical Imaging And Vision. 2012. DOI : 10.1007/s10851-012-0405-4.
P. Sudhakar; S. Arberet; R. Gribonval; P. Vandergheynst : Doubly sparse models for multiple filter estimation in sparse echoic environments; Signal Processing. 2012.
X. Dong; P. Frossard; P. Vandergheynst; N. Nefedov : Clustering with Multi-Layer Graphs: A Spectral Perspective; IEEE Transactions on Signal Processing. 2012. DOI : 10.1109/Tsp.2012.2212886.
G. Puy; P. Vandergheynst; R. Gribonval; Y. Wiaux : Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques; EURASIP Journal on Advances in Signal Processing. 2012. DOI : 10.1186/1687-6180-2012-6.
G. Puy; J. Marques; R. Gruetter; J.-P. Thiran; D. Van De Ville et al. : Spread spectrum magnetic resonance imaging; IEEE Transactions on Medical Imaging. 2012. DOI : 10.1109/TMI.2011.2173698.
H. Mamaghanian; N. Khaled; D. Atienza Alonso; P. Vandergheynst : Structured Sparsity Models for Compressively Sensed Electrocardiogram Signals: A Comparative Study. 2011. Biomedical Circuits and Systems Conference (BioCAS), 2011 IEEE, San Diego, CA, USA, November 10-12, 2011. DOI : 10.1109/BioCAS.2011.6107743.
H. Afshari; L. Jacques; L. Bagnato; A. Schmid; P. Vandergheynst et al. : Hardware Implementation of an Omnidirectional Camera with Real-time 3D Imaging Capability ; 3DTV 2011, Antalya, Turkey, May 16-18, 2011.
M. Golbabaee; P. Vandergheynst : Guaranteed recovery of a low-rank and joint-sparse matrix from incomplete and noisy measurements (Abstract). 2011. Workshop on Signal Processing with Adaptive Sparse Structured Representations (SPARS11), Edinburgh, UK, June 2011.
A. Llagostera Casanovas; P. Vandergheynst : Audio-driven Nonlinear Video Diffusion; IEEE Transactions on Image Processing. 2011.
M. Golbabaee; P. Vandergheynst : Guaranteed recovery of a low-rank and joint-sparse matrix from incomplete and noisy measurements ; SPARS11, Edinburgh, UK, June 27-29, 2011.
G. Puy; P. Vandergheynst; Y. Wiaux : On Variable Density Compressive Sampling; IEEE Signal Processing Letters. 2011. DOI : 10.1109/LSP.2011.2163712.
E. D'Angelo; J. Paratte; G. Puy; P. Vandergheynst : FAST TV-L1 OPTICAL FLOW FOR INTERACTIVITY. 2011. IEEE International Conference on Image Processing (ICIP) 2011, Brussels, Belgium, September 11-14, 2011. p. 1885-1888. DOI : 10.1109/ICIP.2011.6115836.
D. I. Shuman; P. Vandergheynst; P. Frossard : Chebyshev Polynomial Approximation for Distributed Signal Processing. 2011. IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), Barcelona, Spain, June 27-29, 2011.
X. Dong; P. Frossard; P. Vandergheynst; N. Nefedov : Methods for Clustering Multi-Layer Graphs in Mobile Networks ; Interdisciplinary Workshop on Information and Decision in Social Networks, MIT, Cambridge, Massachusetts, USA, May 31-June 1, 2011.
G. Puy; P. Vandergheynst; R. Gribonval; Y. Wiaux : Spread Spectrum for Universal Compressive Sampling. 2011. 4th Workshop on Signal Processing with Adaptive Sparse Structured Representations, Edinburgh, June 27-30, 2011. p. 50.
J. McEwen; G. Puy; J.-P. Thiran; P. Vandergheynst; D. Van De Ville et al. : Implications for compressed sensing of a new sampling theorem on the sphere. 2011. 4th Workshop on Signal Processing with Adaptive Sparse Structured Representations, Edinburgh, Scotland, 27-30 June, 2011. p. 45.
H. Mamaghanian; N. Khaled; D. Atienza Alonso; P. Vandergheynst : Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes; IEEE Transactions on Biomedical Engineering Bme. 2011. DOI : 10.1109/TBME.2011.2156795.
D. I. Shuman; M. Faraji; P. Vandergheynst : Semi-Supervised Learning with Spectral Graph Wavelets. 2011. International Conference on Sampling Theory and Applications (SampTA), Singapore, May 2-6, 2011.
D. K. Hammond; L. Jacques; P. Vandergheynst : Image modeling with nonlocal spectral graph wavelets; Image Processing and Analysing With Graphs: Theory and Practice; CRC Press, 2011.
H. Afshari; L. Jacques; L. Bagnato; A. Schmid; P. Vandergheynst et al. : Hardware Implementation of an Omnidirectional Camera with Real-Time 3D Imaging Capability. 2011. 3DTV-Conference 2011, Antalya, Turkey, 16-18 May. DOI : 10.1109/3DTV.2011.5877192.
J. McEwen; G. Puy; J.-P. Thiran; P. Vandergheynst; D. Van De Ville et al. : Sampling theorems and compressive sensing on the sphere. 2011. Conference on Wavelets and Sparsity XIV, San Diego, CA, August 21-25, 2011. DOI : 10.1117/12.893481.
H. Mamaghanian; N. Khaled; D. Atienza Alonso; P. Vandergheynst : Real-Time Compressed Sensing-Based Electrocardiogram Compression on Energy Constrained Wireless Body Sensors. 2011. International Symposium on Circuits and Systems (ISCAS'11), Rio de Janeiro, Brazil, May 15 - 18, 2011. p. 125-128.
G. Puy; J. Marques; R. Gruetter; J.-P. Thiran; D. Van de Ville et al. : Accelerated MR imaging with spread spectrum encoding. 2011. International Society for Magnetic Resonance in Medicine (ISMRM) conference, Montreal, May 7-13, 2011. p. 2808.
E. d'Angelo; P. Vandergheynst : FULLY NON-LOCAL SUPER-RESOLUTION VIA SPECTRAL HASHING. 2011. 2011 International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. p. 1137-1140.
B. Mailhe; R. Gribonval; P. Vandergheynst : Fast orthogonal sparse approximation algorithms over local dictionaries; Signal Processing. 2011. DOI : 10.1016/j.sigpro.2011.01.004.
X. Dong; P. Frossard; P. Vandergheynst; N. Nefedov : A Regularization Framework for Mobile Social Network Analysis. 2011. International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011.
A. Llagostera Casanovas; P. Vandergheynst : Unsupervised Extraction of Audio-Visual Objects. 2011. IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011.
A. Descampe; C. De Vleeschouwer; P. Vandergheynst; B. Macq : Scalable Feature Extraction for Coarse-to-Fine JPEG2000 Image Classification; IEEE Transactions on Image Processing. 2011. DOI : 10.1109/TIP.2011.2126584.
L. Bagnato; P. Vandergheynst; P. Frossard : A Variational Framework for Structure from Motion in Omnidirectional Image Sequences; Journal of Mathematical Imaging and Vision. 2011. DOI : 10.1007/s10851-011-0267-1.
D. K. Hammond; P. Vandergheynst; R. Gribonval : Wavelets on graphs via spectral graph theory; Applied and Computational Harmonic Analysis. 2011. DOI : 10.1016/j.acha.2010.04.005.
A. Alahi; L. Jacques; Y. Boursier; P. Vandergheynst : Sparsity Driven People Localization with a Heterogeneous Network of Cameras; Journal of Mathematical Imaging and Vision. 2011. DOI : 10.1007/s10851-010-0258-7.
K. Schnass; P. Vandergheynst : Classification via Incoherent Subspaces; Rejecta Mathematica. 2011.
A. Alahi; M. Golbabaee; P. Vandergheynst ; Method and system for automatic objects localization. US2014254875 ; US8749630 ; EP2386981 ; US2011279685 ; EP2386981 . 2010.
M. Golbabaee; S. Arberet; P. Vandergheynst : Multichannel Compressed Sensing via Source Separation for Hyperspectral Images.
M. Golbabaee; S. Arberet; P. Vandergheynst : Distributed Compressed Sensing of Hyperspectral Images via Blind Source Separation. 2010. The Asilomar Conference on Signals, Systems, and Computers, PACIFIC GROVE, CA, USA, November 7-10, 2010.
D. Domingues; A. Alahi; P. Vandergheynst : Stream Carving: an Adaptive Seam Carving Algorithm. 2010. International conference on Image Processing, Honk hong, September 26-29, 2010. p. 901-904. DOI : 10.1109/ICIP.2010.5653984.
E. D'Angelo; G. Puy; P. Vandergheynst : An optimal first-order solver for the TV-$L_1$ optical flow problem. 2010.
E. D'Angelo; P. Vandergheynst : Towards unifying diffusion and exemplar-based inpainting. 2010. IEEE International Conference on Image Processing - ICIP 2010, Hong Kong, People's Republic of China, September 26-20, 2010. p. 417-420.
M. Golbabaee; S. Arberet; P. Vandergheynst : Multichannel Compressed Sensing via Source Separation for Hyperspectral Images. 2010. Eusipco 2010, Aalborg, Denmark, 23-27 August, 2010.
A. Weishaupt; L. Bagnato; P. Vandergheynst : Fast Structure from Motion for Planar Image Sequences. 2010. 2010 European Signal Processing Conference, Aalborg, August 23-27 2010.
S. Arberet; A. Ozerov; N. Q. K. Duong; E. Vincent; R. Gribonval et al. : Nonnegative Matrix Factorization and Spatial Covariance Model for Under-Determined Reverberant Audio Source Separation. 2010. 10th International Conference on Information Sciences, Signal Processing and their applications (ISSPA 2010), Kuala Lumpur , Malaysia, May 10-13, 2010.
L. Bagnato; Y. Boursier; P. Frossard; P. Vandergheynst : Plenoptic based super-resolution for omnidirectional image sequences. 2010. IEEE International Conference on Image Processing (ICIP), Hong Kong, September 26-29, 2010.
A. Weishaupt; L. Bagnato; E. D'Angelo; P. Vandergheynst : Tracking and Structure from Motion ; 2010.
V. Majidzadeh; L. Jacques; A. Schmid; P. Vandergheynst; Y. Leblebici : A (256x256) Pixel 76.7mW CMOS Imager/ Compressor Based on Real-Time In-Pixel Compressive Sensing. 2010. IEEE International Symposium on Circuits and Systems (ISCAS), Paris, France, May 30 - June 2, 2010.
Y. Wiaux; P. Vandergheynst : Wavelets on the Sphere; Four Short Courses on Harmonic Analysis; Boston: Birkhäuser, 2010. p. 131-174.
L. Jacques; P. Vandergheynst : Compressed Sensing: When sparsity meets sampling; Optical and Digital Image Processing - Fundamentals and Applications; Wiley-Blackwell, 2010.
K. Schnass; P. Vandergheynst : A union of incoherent spaces model for classification. 2010. 35th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dallas, March 14-19, 2010.
A. Llagostera Casanovas; P. Vandergheynst : Audio-based nonlinear video diffusion. 2010. IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Dallas, March 14-19, 2010.
Y. Wiaux; G. Puy; R. Gruetter; J.-P. Thiran; D. Van De Ville et al. : Spread spectrum for compressed sensing techniques in magnetic resonance imaging. 2010. IEEE International Symp. on Biomedical Imaging: From Nano to macro (ISBI), Rotterdam, April 14-17, 2010. p. 756-759. DOI : 10.1109/ISBI.2010.5490066.
G. Puy; Y. Wiaux; R. Gruetter; J.-P. Thiran; D. Van De Ville et al. : Spread spectrum for interferometric and magnetic resonance imaging. 2010. IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Dallas, March 14–19, 2010. p. 2802-2805. DOI : 10.1109/ICASSP.2010.5496198.
Y. Wiaux; G. Puy; P. Vandergheynst : Compressed sensing reconstruction of a string signal from interferometric observations of the cosmic microwave background; Monthly Notices of the Royal Astronomical Society. 2010. DOI : 10.1111/j.1365-2966.2009.16079.x.
J.-P. Antoine; D. Rosca; P. Vandergheynst : Wavelet transform on manifolds: old and new approaches; Applied and Computational Harmonic Analysis. 2010. DOI : 10.1016/j.acha.2009.10.002.
A. Llagostera Casanovas; G. Monaci; P. Vandergheynst; R. Gribonval : Blind Audio-Visual Source Separation based on Sparse Redundant Representations; IEEE Transactions on Multimedia. 2010. DOI : 10.1109/TMM.2010.2050650.
A. Alahi; P. Vandergheynst; M. Bierlaire; M. Kunt : Cascade of Descriptors to Detect and Track Objects Across Any Network of Cameras; Computer Vision and Image Understanding. 2010. DOI : 10.1016/j.cviu.2010.01.004.
M. Flierl; P. Vandergheynst ; Method for spatially scalable video coding. US7616824 ; US2006120614 . 2009.
L. Bagnato; P. Vandergheynst; P. Frossard : A Variational Framework for Structure from Motion in Omnidirectional Image Sequences. 2009.
M. Golbabaee; P. Vandergheynst : Distributed Compressed Sensing for Sensor Networks Using Thresholding. 2009. Wavelet XIII, SPIE, San Diego, CA, USA, August 2-6, 2009. p. 7446-50.
A. Alahi; L. Jacques; Y. Boursier; P. Vandergheynst : Sparsity-driven People Localization Algorithm: Evaluation in Crowded Scenes Environments. 2009. IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, Snowbird, Utah, December 7-10, 2009. DOI : 10.1109/PETS-WINTER.2009.5399487.
Y. Wiaux; L. Jacques; G. Puy; A. M. M. Scaife; P. Vandergheynst : Compressed sensing for radio interferometry: prior-enhanced Basis Pursuit imaging techniques. 2009. SPARS'09, Saint-Malo, April 06-09, 2009.
Y. Wiaux; G. Puy; Y. Boursier; P. Vandergheynst : Compressed sensing for radio interferometry: spread spectrum imaging techniques. 2009. WAVELET XIII, SPIE09, San Diego, August 02-06, 2009. DOI : 10.1117/12.824713.
Y. Wiaux; G. Puy; Y. Boursier; P. Vandergheynst : Spread spectrum for imaging techniques in radio interferometry; Monthly Notices of the Royal Astronomical Society. 2009. DOI : 10.1111/j.1365-2966.2009.15519.x.
A. Alahi; P. Vandergheynst; M. Bierlaire; M. Kunt : A Master-Slave Approach to Detect and Match Objects Across Several Uncalibrated Moving Cameras. 2009.
L. Jacques; P. Vandergheynst; A. Bibet; V. Majidzadeh; A. Schmid et al. : CMOS Compressed Imaging by Random Convolution ; IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, 19 -24 April 2009.
A. Alahi; Y. Boursier; L. Jacques; P. Vandergheynst : Sport Players Detection and Tracking With a Mixed Network of Planar and Omnidirectional Cameras. 2009. Third ACM/IEEE International Conference on Distributed Smart Cameras, Como, 30 August - 2 September, 2009. DOI : 10.1109/ICDSC.2009.5289406.
A. Alahi; Y. Boursier; L. Jacques; P. Vandergheynst : A Sparsity Constrained Inverse Problem to Locate People in a Network of Cameras. 2009. 16th International Conference on Digital Signal Processing, Aegean island of Santorini, Greece, July 5-7, 2009. DOI : 10.1109/ICDSP.2009.5201223.
Y. Boursier; L. Jacques; D. Raboud; P. Frossard; M. J. Fadili et al. : TV-Regularized Generation of Planar Images from Omnicams. 2009. IEEE International Conference on Image Processing - ICIP 2009, Cairo, Egypt, November 7-11, 2009. DOI : 10.1109/ICIP.2009.5413712.
L. Bagnato; P. Frossard; P. Vandergheynst : Optical Flow and Depth from Motion for Omnidirectional Images using a TV-L1 Variational Framework on Graphs. 2009. IEEE International Conference on Image Processing - ICIP 2009, Cairo, Egypt, November 7-11, 2009.
D. Raboud; P. Vandergheynst; L. Jacques : The Panoptic Camera - Plenoptic interpolation in an omnidirectional polydioptric camera ; 2009.
B. Mailhé; R. Gribonval; F. Bimbot; M. Lemay; P. Vandergheynst et al. : Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals. 2009. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP09), Taipeh, 2009.
B. Mailhé; R. Gribonval; F. Bimbot; P. Vandergheynst : A low complexity orthogonal matching pursuit for sparse signal approximation with shift-invariant dictionaries. 2009. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP09), Taipei, Taiwan, 2009.
Y. Wiaux; L. Jacques; G. Puy; A. M. M. Scaife; P. Vandergheynst : Compressed sensing imaging techniques for radio interferometry; Monthly Notices of the Royal Astronomical Society. 2009. DOI : 10.1111/j.1365-2966.2009.14665.x.
D. K. Hammond; Y. Wiaux; P. Vandergheynst : Wavelet domain Bayesian denoising of string signal in the cosmic microwave background; Monthly Notices of the Royal Astronomical Society. 2009. DOI : 10.1111/j.1365-2966.2009.14978.x.
F. M. Naini; R. Gribonval; L. Jacques; P. Vandergheynst : Compressive Sampling of Pulse Trains : Spread the Spectrum !. 2009. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, 19 -24 April 2009. DOI : 10.1109/ICASSP.2009.4960224.
L. Jacques; P. Vandergheynst; A. Bibet; V. Majidzadeh; A. Schmid et al. : CMOS Compressed Imaging by Random Convolution. 2009. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, 19 -24 April 2009. p. 1113-1116. DOI : 10.1109/ICASSP.2009.4959783.
G. Monaci; P. Vandergheynst; F. T. Sommer : Learning bimodal structure in audio-visual data; IEEE Transactions on Neural Networks. 2009. DOI : 10.1109/TNN.2009.2032182.
O. Divorra Escoda; G. Monaci; R. Figueras i Ventura; P. Vandergheynst; M. Bierlaire : Geometric Video Approximation Using Weighted Matching Pursuit; IEEE Transactions on Image Processing. 2009. DOI : 10.1109/TIP.2009.2021315.
Research
Topics
Data nowadays come in overwhelming volume. In order to cope with this deluge, we explore and use the benefits of geometry and symmetry in higher dimensional data. But volume is not the only problem: data models are also increasingly complex, mixing various components. We thus use sparse representations and dictionaries as dimensionality reduction tools to dig out information from complicated high-dimensional datasets and multichannel signals, or to model complex behaviours in more classical signals. Finally data can also be complex because they are collected on surfaces, or more generally manifolds, or because they are not scalar-valued. We thus explore extensions of Computational Harmonic Analysis in higher dimensions, in complex geometries, on graphs, networks or for non-scalar data.
Teaching & PhD
Teaching
Electrical and Electronics Engineering