Pierre Vandergheynst
EPFL STI IEL LTS2
ELE 235 (Bâtiment ELE)
Station 11
1015 Lausanne
+41 21 693 26 01
+41 21 693 56 45
Office: ELE 235
EPFL › STI › IEM › LTS2
Website: https://lts2.epfl.ch/
EPFL STI IEM LTS2
ELD 241 (Bâtiment ELD)
Station 11
CH-1015 Lausanne
+41 21 693 56 45
EPFL › STI › STI-SEL › SEL-ENS
EPFL STI IEM LTS2
ELD 241 (Bâtiment ELD)
Station 11
CH-1015 Lausanne
+41 21 693 56 45
EPFL › STI › STI-SMT › SMT-ENS
EPFL STI IEM LTS2
ELD 241 (Bâtiment ELD)
Station 11
CH-1015 Lausanne
+41 21 693 56 45
EPFL › VPA › VPA-AVP-DLE › AVP-DLE-EDOC › EDCB-GE
Website: https://go.epfl.ch/phd-edcb
EPFL STI IEM LTS2
ELD 241 (Bâtiment ELD)
Station 11
CH-1015 Lausanne
+41 21 693 56 45
EPFL › VPA › VPA-FAC › CEAE
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
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.
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.
Links
Awards
IEEE SIGNAL PROCESSING MAGAZINE BEST PAPER AWARD
IEEE
2023
Signal Processing Society Best Paper Award
IEEE
2022
Selected publications
A Posteriori Quantization of Progressive Matching Pursuit Streams
P. Frossard, P. Vandergheynst, R. Figueras i Ventura and M. Kunt
Published in IEEE Transactions on Signal Processing, Vol. 52, No 2, February 2004 in
DTI mapping of human brain connectivity: statistical fibre tracking and virtual dissection
Hagmann P , Thiran J , Jonasson L , Vandergheynst P , Clarke S , Maeder P and Meuli R
Published in , Neuroimage, Vol. 19, No 3, pp. 545-554, July 2003, 2003 in
Non-linear subdivision using local spherical coordinates
N. Aspert, T. Ebrahimi and P. Vandergheynst
Published in Computer Aided Geometric Design, Vol. 20, No 3, 2003 in
Wavelets on the sphere : Implementation and approximations
Antoine J , Demanet L , Jacques L and Vandergheynst P
Published in Appl. Comp. Harmonic Analysis, Vol. 13, No 3, pp. 177-200, November 2002, 2002 in
Special issue on image and video coding beyond standards
Vandergheynst P and Frossard P
Published in Signal Processing, Vol. 82, No 11, pp. 1517-1518, November (2002), 2002 in
Recent publications (2009-present)
MEIDNet: Multimodal generative AI framework for inverse materials design
2026Conditional Deep Learning Model Reveals Translation Elongation Determinants during Amino Acid Deprivation
Communications Biology. 2025. DOI : 10.1038/s42003-025-09092-7.Bridging Graph Neural Networks and Large Language Models: A Survey and Unified Perspective
2025Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent Space
2025. The Thirty-Ninth Annual Conference on Neural Information Processing Systems, San Diego, CA, US, 2025-12-02 - 2025-12-07.Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings
2025Return of ChebNet: Understanding and Improving an Overlooked GNN on Long Range Tasks
2025Interpreting and comparing neural activity across systems by geometric deep learning
NATURE METHODS. 2025. DOI : 10.1038/s41592-024-02581-3.On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
2025Boosting Protein Graph Representations through Static-Dynamic Fusion
2025. 42nd International Conference on Machine Learning, Vancouver, Canada, 2025-07-13 - 2025-07-19.MARBLE: interpretable representations of neural population dynamics using geometric deep learning
Nature methods. 2025. DOI : 10.1038/s41592-024-02582-2.Graph rewiring for long range-aware protein learning
38th Annual Conference on Neural Information Processing Systems, Vancouver Convention Center, Canada, 2024-12-10 - 2024-12-15.Exploring “dark-matter” protein folds using deep learning
Cell systems. 2024. DOI : 10.1016/j.cels.2024.09.006.Graph learning for capturing long-range dependencies in protein structures
2024. Machine Learning for Computational Biology, Seattle, 2024-09-05 - 2024-09-06.Molecular set representation learning
Nature Machine Intelligence. 2024. DOI : 10.1038/s42256-024-00856-0.Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security
2024. ICLR 2024, Vienna, Austria, 2024-05-07 - 2024-05-11.Towards improving full-length ribosome density prediction by bridging sequence and graph-based representations
2024. 19th Machine Learning in Computational Biology meeting, Seattle, WA, USA, 2024-09-05 - 2024-09-06.Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security
2024. 7th Deep Learning Security and Privacy Workshop, San Francisco, CA, May 23, 2024.Safe Deep Neural Networks
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10384.Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning
Lausanne, EPFL, 2024. DOI : 10.5075/epfl-thesis-10642.Interpretable Inflammation Landscape of Circulating Immune cells
2023Interpretable statistical representations of neural population dynamics and geometry
arXiv. 2023. DOI : 10.48550/arxiv.2304.03376.Probabilistic methods for neural combinatorial optimization
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-10221.Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation
Lausanne, EPFL, 2023. DOI : 10.5075/epfl-thesis-10284.RosettaSurf-A surface-centric computational design approach
Plos Computational Biology. 2022. DOI : 10.1371/journal.pcbi.1009178.Generalised Implicit Neural Representations
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisiana, USA, November 28 - December 9, 2022.Leveraging topology, geometry, and symmetries for efficient Machine Learning
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-7398.Plasma-based Electroacoustic Actuator for Broadband Sound Absorption
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-9784.Auditory externalization of a remote microphone signal
Lausanne, EPFL, 2022. DOI : 10.5075/epfl-thesis-8959.Sound Field Reconstruction in a room through Sparse Recovery and its application in Room Modal Equalization
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8394.Representation Learning for Multi-relational Data
Lausanne, EPFL, 2021. DOI : 10.5075/epfl-thesis-8654.Social Network Architectures of Disinformation
2020Musical Source Separation
2020Geometric deep learning for medium-range weather prediction
2020On the Experimental Transferability of Spectral Graph Convolutional Networks
2020What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions
2020. The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020. DOI : 10.1145/3366424.3383567.Dynamic pattern recognition in large-scale graphs with applications to social networks
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7633.On the optimal sampling design for the Graph Total Variation decoder: recovering piecewise-constant graph signals from a few vertex measurements
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7219.Sparse and Parametric Modeling with Applications to Acoustics and Audio
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7215.On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.
Lausanne, EPFL, 2020. DOI : 10.5075/epfl-thesis-7437.Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs
Comptes Rendus Physique. 2019. DOI : 10.1016/j.crhy.2019.08.003.Spherical Convolutionnal Neural Networks: Empirical Analysis of SCNNs
2019A Graph-structured Dataset for Wikipedia Research
2019. 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.Learning Representations of Source Code from Structure and Context
2019Graph Laplacians for Rotation Equivariant Convolutional Neural Networks
2019Tensor Robust Pca On Graphs
2019. 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, ENGLAND, May 12-17, 2019. p. 5406 - 5410. DOI : 10.1109/ICASSP.2019.8682990.Anomaly detection in the dynamics of web and social networks
2019. The Web Conference 2019, San Francisco, California, USA, May 13-17, 2019. p. 1290 - 1299. DOI : 10.1145/3308558.3313541.Spectrally approximating large graphs with smaller graphs
2018. International Conference in Machine Learning (ICML), Stockholmsmässan, Sweden, July 10-15, 2018.Global and Local Uncertainty Principles for Signals on Graphs
APSIPA Transactions on Signal and Information Processing. 2018. DOI : 10.1017/ATSIP.2018.2.Distributed Signal Processing via Chebyshev Polynomial Approximation
IEEE Transactions on Signal and Information Processing over Networks. 2018. DOI : 10.1109/TSIPN.2018.2824239.Graph Signal Processing: Overview, Challenges and Applications
Proceedings of the IEEE. 2018. DOI : 10.1109/JPROC.2018.2820126.Random sampling of bandlimited signals on graphs
Applied and Computational Harmonic Analysis. 2018. DOI : 10.1016/j.acha.2016.05.005.Joint Estimation Of The Room Geometry And Modes With Compressed Sensing
2018. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Calgary, CANADA, Apr 15-20, 2018. p. 6882 - 6886. DOI : 10.1109/ICASSP.2018.8462655.Computational Thinking and Thinking Computationally
Dia-logos, Ramon Llull's Method of Thought and Artistic Practice; Minneapolis: University of Minnesota Press, 2018.Fast Approximate Spectral Clustering for Dynamic Networks
2018. International Conference in Machine Learning (ICML), Stockholmsmässan, Sweden, July 10-15, 2018.Robust and Efficient Data Clustering with Signal Processing on Graphs
Lausanne, EPFL, 2018. DOI : 10.5075/epfl-thesis-8184.Compressive Embedding and Visualization using Graphs
2017System, device, and method for contextual knowledge retrieval and display
WO2017187401 . 2017.Stationary signal processing on graphs
IEEE Transactions on Signal Processing. 2017. DOI : 10.1109/Tsp.2017.2690388.Localization of Sound Sources in a Room with One Microphone
2017. Wavelets and Sparsity XVII, San Diego, California, USA, August 6-9, 2017. DOI : 10.1117/12.2271249.Graph-based structures in data science : fundamental limits and applications to machine learning
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7644.From recommender systems to spatio-temporal dynamics with network science
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7428.Structured Sequence Modeling with Graph Convolutional Recurrent Networks
2017.Scalable Low-rank Matrix and Tensor Decomposition on Graphs
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7958.FMA: A Dataset For Music Analysis
2017. 18th International Society for Music Information Retrieval Conference, Suzhou, China, October 23-28, 2017.Locating Temporal Functional Dynamics of Visual Short-Term Memory Binding using Graph Modular Dirichlet Energy
Scientific Reports. 2017. DOI : 10.1038/srep42013.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. DOI : 10.1109/ICASSP.2017.7952890.Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems
Neuroimage. 2017. DOI : 10.1016/j.neuroimage.2017.04.015.Graph-based Methods for Visualization and Clustering
Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7952.Geometric deep learning: going beyond Euclidean data
IEEE Signal Processing Magazine. 2017. DOI : 10.1109/Msp.2017.2693418.Multilinear Low-Rank Tensors on Graphs & Applications
2016.Low-Rank Matrices on Graphs: Generalized Recovery & Applications
2016Graph Based Sinogram Denoising for Tomographic Reconstructions
2016.Room Modal Equalisation with Electroacoustic Absorbers
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7166.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. DOI : 10.1109/ICASSP.2016.7472115.Vertex-Frequency Analysis on Graphs
Applied And Computational Harmonic Analysis. 2016. DOI : 10.1016/j.acha.2015.02.005.Spatial hearing rendering in wireless microphone systems for binaural hearing aids
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7221.Localisation et identification spectrale conjointe de sources large bande par parcimonie groupée
2016. Congrès Français d'Acoustique, Le Mans, France, April 2016.Learning Laplacian Matrix in Smooth Graph Signal Representations
IEEE Transactions on Signal Processing. 2016. DOI : 10.1109/TSP.2016.2602809.Fast Robust PCA on Graphs
IEEE Journal of Selected Topics in Signal Processing. 2016. DOI : 10.1109/Jstsp.2016.2555239.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. DOI : 10.1109/IVMSPW.2016.7528230.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. DOI : 10.1109/ICASSP.2016.7472447.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. DOI : 10.1109/ICASSP.2016.7472562.Tensor low-rank and sparse light field photography
Computer Vision And Image Understanding. 2016. DOI : 10.1016/j.cviu.2015.11.004.An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging
Ieee Transactions On Computational Imaging. 2016. DOI : 10.1109/Tci.2016.2557073.From data to structures : graph learning under smoothness assumptions and applications in data science
Lausanne, EPFL, 2016. DOI : 10.5075/epfl-thesis-7302.Compressive Spectral Clustering
2016. 33rd International Conference on Machine Learning (ICML), New York, USA, June 19-24. p. 1002 - 1011.Compressive PCA for Low-Rank Matrices on Graphs
Ieee Transactions On Signal And Information Processing Over Networks. 2016. DOI : 10.1109/Tsipn.2016.2631890.Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
2016. Advances in Neural Information Processing Systems 29, Barcelona, Spain, December 5-10, 2016.Compressed Sensing and Adaptive Graph Total Variation for Tomographic Reconstructions
2016A Multiscale Pyramid Transform for Graph Signals
IEEE Transactions on Signal Processing. 2016. DOI : 10.1109/TSP.2015.2512529.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.MATHICSE Technical Report : Accelerated filtering on graphs using Lanczos method
2015Random sampling of bandlimited signals on graphs
2015Dynamic activation patterns in brain MRI data
2015. 25th Colloque Gretsi, Lyon.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.Structure Modeling of High Dimensional Data : New Algorithms and Applications
Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6590.Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks
Computer Graphics Forum. 2015. DOI : 10.1111/cgf.12693.Exploring information retrieval using image sparse representations : from circuit designs and acquisition processes to specific reconstruction algorithms
Lausanne, EPFL, 2015. DOI : 10.5075/epfl-thesis-6587.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. DOI : 10.7873/DATE.2015.1098.Random Sampling of Bandlimited Signals on Graphs
NIPS2015 Workshop on Multiresolution Methods for Large Scale Learning, Montréal, December 12th, 2015.Graph-based denoising for time-varying point clouds
2015. 3DTV Conference 2015, Lisbon, Portugal, July 8-10, 2015. DOI : 10.1109/3DTV.2015.7169366.Spectrum-Adapted Tight Graph Wavelet and Vertex-Frequency Frames
IEEE Transactions on Signal Processing. 2015. DOI : 10.1109/Tsp.2015.2424203.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. DOI : 10.1007/978-3-319-14612-6_26.ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds
2015.Robust Principal Component Analysis on Graphs
2015. International Conference on Computer Vision (ICCV) 2015, Santiago, Chile, December 11-18, 2015. p. 2812 - 2820. DOI : 10.1109/ICCV.2015.322.Structured Auto-Encoder with application to Music Genre Recognition
2015Enhanced Matrix Completion with Manifold Learning
International BASP Frontiers Workshop 2015, Villars-sur-Ollon, Switzerland, January 25 - 30, 2015.Accelerated filtering on graphs using Lanczos method
2015Laplacian Matrix Learning for Smooth Graph Signal Representation
2015. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April, 2015. p. 3736 - 3740. DOI : 10.1109/ICASSP.2015.7178669.Numerical experiments with MALDI Imaging data
Advances In Computational Mathematics. 2014. DOI : 10.1007/s10444-013-9325-0.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.Graph-based Image Inpainting
2014Robust image reconstruction from multi-view measurements
SIAM Journal on Imaging Sciences. 2014. DOI : 10.1137/120902586.On spin scale-discretised wavelets on the sphere for the analysis of CMB polarisation
2014. p. 64 - 67. DOI : 10.1017/S1743921314011107.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.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. DOI : 10.1109/ICASSP.2014.6854435.Reverberant Audio Source Separation via Sparse and Low-Rank Modeling
IEEE Signal Processing Letters. 2014. DOI : 10.1109/LSP.2014.2303135.Matrix Completion on Graphs
UCL - Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD 2014), London, England, September 4-5, 2014.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.Robust visual tracking using feature selection
2014Ultra low power design of hardware efficient CS-Based compression scheme in WBSN
2014. CT-Energy Community Workshop, Barcelona, Spain, April 23-25, 2014.A Compressed Sensing Framework for Magnetic Resonance Fingerprinting
Siam Journal On Imaging Sciences. 2014. DOI : 10.1137/130947246.Audio Steganography using Convex Demixing
2014Efficient compressive sampling strategies and novel reconstruction methods with applications in MRI
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6036.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.Multi-View Signal Processing and Learning on Graphs
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6213.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.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.System and method for media library navigation and recommendation
WO2014002064 . 2014.From Bits to Images: Inversion of Local Binary Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. DOI : 10.1109/TPAMI.2013.228.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.Compressed sensing : a universal energy-efficient compression scheme for biosignals on wireless body sensor nodes
Lausanne, EPFL, 2014. DOI : 10.5075/epfl-thesis-6340.Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds
IEEE Transactions on Signal Processing. 2014. DOI : 10.1109/TSP.2013.2295553.Robust Image Reconstruction from Multiview Measurements
Siam Journal On Imaging Sciences. 2014. DOI : 10.1137/120902586.High Frame-Rate Low-Power Compressive Sampling CMOS Image Sensor Architecture
23rd Great Lakes Symposium on VLSI, Paris, France, May 2-3, 2013.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.Non-convex optimization for robust multi-view imaging
International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop, Villars-sur-Ollon, Switzerland, January, 2013.Compressive Image Acquisition in Modern CMOS IC Design
International Journal of Circuit Theory and Applications. 2013. DOI : 10.1002/cta.1969.Compressive Source Separation: Theory and Methods for Hyperspectral Imaging
IEEE Transactions on Image Processing. 2013. DOI : 10.1109/Tip.2013.2281405.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. DOI : 10.1109/NEWCAS.2013.6573620.Sparse image reconstruction on the sphere: implications of a new sampling theorem
IEEE Transactions on Image Processing. 2013. DOI : 10.1109/TIP.2013.2249079.On the computation of directional scale-discretized wavelet transforms on the sphere
2013. Wavelets and Sparsity XV, San Diego, August 26-29, 2013. DOI : 10.1117/12.2022889.Sparse Binary Features for Image Classification
2013Traitement du signal sur les graphes
2013 GRETSI Symposium, Brest, France, September 3-6, 2013.Multichannel Blind Deconvolution Using Low-rank and Sparse Decomposition
2013. SPARS, 2013.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.Joint image registration and reconstruction from compressed multi-view measurements
2013. Conference on Wavelets and Sparsity XV. DOI : 10.1117/12.2023916.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.Inference of Mobility Patterns via Spectral Graph Wavelets
2013. IEEE ICASSP, Vancouver, Canada, May 26-31, 2013. p. 3118 - 3122. DOI : 10.1109/ICASSP.2013.6638232.Method to compensate the effect of the rolling shutter effect
US8350922 ; US2011267514 . 2013.compressive source separation for hyperspectral imaging
2013Clustering 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. p. 993 - 996. DOI : 10.1109/GlobalSIP.2013.6737060.On the Sparsity of Wavelet Coefficients for Signals on Graphs
2013. Conference on Wavelets and Sparsity XV. DOI : 10.1117/12.2022850.Patch-based methods for variational image processing problems
Lausanne, EPFL, 2013. DOI : 10.5075/epfl-thesis-5693.S2LET: A code to perform fast wavelet analysis on the sphere
Astronomy & Astrophysics. 2013. DOI : 10.1051/0004-6361/201220729.Interconnected Network of Cameras
2013. IS&T/SPIE Electronic Imaging, Burlingame, California, USA, February 3, 2013. DOI : 10.1117/12.2004736.Sparse Reverberant Audio Source Separation via Reweighted Analysis
IEEE Transactions on Audio Speech and Language Processing. 2013. DOI : 10.1109/Tasl.2013.2250962.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.Non-convex optimization for robust multi-view imaging
2013. International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop, Villars-sur-Ollon, Switzerland, January, 2013.Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression
2013. ICASSP. p. 3831 - 3835. DOI : 10.1109/ICASSP.2013.6638375.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. DOI : 10.1109/ICASSP.2013.6638472.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. p. 1367 - 1370. DOI : 10.1109/MWSCAS.2013.6674910.A Real-time Multi-camera System with Omnidirectional Image Reconstruction Capability
ICCP2012, Seattle, WA, USA, April 27-29, 2012.Compressive Sampling Strategies for Multichannel Signals : Theory and Applications
Lausanne, EPFL, 2012. DOI : 10.5075/epfl-thesis-5378.Image transform for video coding
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IEEE Journal of Emerging and Selected Topics in Circuits and Systems. 2012. DOI : 10.1109/JETCAS.2012.2220253.On localisation and uncertainty measures on graphs
2012Light 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. DOI : 10.1109/ICASSP.2012.6289145.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. DOI : 10.1109/ICASSP.2012.6288484.Spread spectrum magnetic resonance imaging
IEEE Transactions on Medical Imaging (T-MI). 2012. DOI : 10.1109/TMI.2011.2173698.Light Field Tensor Recovery
2012. IEEE International Conference on Image Processing, Orlando, Florida, USA.Doubly sparse models for multiple filter estimation in sparse echoic environments
2012Omnidirectional Light Field Analysis and Reconstruction
Lausanne, EPFL, 2012. DOI : 10.5075/epfl-thesis-5483.Clustering with Multi-Layer Graphs: A Spectral Perspective
IEEE Transactions on Signal Processing. 2012. DOI : 10.1109/Tsp.2012.2212886.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.Robust joint reconstruction of misaligned images using semi-parametric dictionaries
Workshop on Sparsity, Localization and Dictionary Learning, London, June 26, 2012.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.Audio-Visual Object Extraction using Graph Cuts
2012Robust 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.Automatic online delineation of a multi-lead electrocardiogram bio signal
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Journée Mathématiques et Grandes Dimensions, Polytech Lyon, December 10, 2012.Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices
2012Omnidirectional sensor array system
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2012. IEEE International Conference on Image Processing (ICIP 2012). p. 933 - 936. DOI : 10.1109/ICIP.2012.6467014.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.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.Beyond Bits: Reconstructing Images from Local Binary Descriptors
2012. 21st International Conference on Pattern Recognition (ICPR), Tsukuba Science City, Japan, November 11-15, 2012. p. 935 - 938.Light Field Compressive Sensing
2012. 1st International Traveling Workshop for Interacting Sparse Models and Technology, Marseille, France.Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices
2012Sparse Approximation Using M-Term Pursuit and Application in Image and Video Coding
IEEE Transactions on Image Processing. 2012. DOI : 10.1109/TIP.2011.2181525.Plenoptic Spherical Sampling
2012. 2012 IEEE International Conference on Image Processing, Disney Coronado Springs Resort, Florida, USA, September 30, October 3, 2012. p. 357 - 360. DOI : 10.1109/ICIP.2012.6466869.FREAK: Fast Retina Keypoint
2012. IEEE Conference on Computer Vision and Pattern Recognition, Rhode Island, Providence, USA, June 16-21, 2012. p. 510 - 517. DOI : 10.1109/CVPR.2012.6247715.SCOOP: A Real-Time Sparsity Driven People Localization Algorithm
Journal Of Mathematical Imaging And Vision. 2012. DOI : 10.1007/s10851-012-0405-4.Wavelets on graphs via spectral graph theory
Applied and Computational Harmonic Analysis. 2011. DOI : 10.1016/j.acha.2010.04.005.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.Chebyshev polynomial approximation for transductive learning on graphs
2011Sampling 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.Vision-Based Scene Understanding with Sparsity Promoting Priors
Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-5070.On Variable Density Compressive Sampling
IEEE Signal Processing Letters. 2011. DOI : 10.1109/LSP.2011.2163712.Sparsity Driven People Localization with a Heterogeneous Network of Cameras
Journal of Mathematical Imaging and Vision. 2011. DOI : 10.1007/s10851-010-0258-7.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. 1744 - 1747. DOI : 10.1109/ISCAS.2011.5937920.Semi-Supervised Learning with Spectral Graph Wavelets
2011. International Conference on Sampling Theory and Applications (SampTA), Singapore, May 2-6, 2011.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.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. p. 2140 - 2143. DOI : 10.1109/ICASSP.2011.5946750.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.Image modeling with nonlocal spectral graph wavelets
Image Processing and Analysing With Graphs: Theory and Practice; CRC Press, 2011.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.Accelerated MR imaging with spread spectrum encoding
2011. International Society for Magnetic Resonance in Medicine (ISMRM) conference, Montreal, May 7-13, 2011.Spread Spectrum for Universal Compressive Sampling
2011. 4th Workshop on Signal Processing with Adaptive Sparse Structured Representations, Edinburgh, June 27-30, 2011.Fast orthogonal sparse approximation algorithms over local dictionaries
Signal Processing. 2011. DOI : 10.1016/j.sigpro.2011.01.004.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. DOI : 10.1109/ICASSP.2011.5946609.Classification via Incoherent Subspaces
Rejecta Mathematica. 2011.Guaranteed recovery of a low-rank and joint-sparse matrix from incomplete and noisy measurements
SPARS11, Edinburgh, UK, June 27-29, 2011.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.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.Unsupervised Extraction of Audio-Visual Objects
2011. IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 22-27, 2011. p. 2284 - 2287. DOI : 10.1109/ICASSP.2011.5946938.Audio-driven Nonlinear Video Diffusion
2011Audio-Visual Fusion : New Methods and Applications
Lausanne, EPFL, 2011. DOI : 10.5075/epfl-thesis-4962.Hardware Implementation of an Omnidirectional Camera with Real-time 3D Imaging Capability
3DTV 2011, Antalya, Turkey, May 16-18, 2011.A Laplacian pyramid scheme in graph signal processing
2011Structured 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.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.Chebyshev Polynomial Approximation for Distributed Signal Processing
2011. IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), Barcelona, Spain, June 27-29, 2011. DOI : 10.1109/DCOSS.2011.5982158.Scalable Feature Extraction for Coarse-to-Fine JPEG2000 Image Classification
IEEE Transactions on Image Processing. 2011. DOI : 10.1109/TIP.2011.2126584.Wavelet transform on manifolds: old and new approaches
Applied and Computational Harmonic Analysis. 2010. DOI : 10.1016/j.acha.2009.10.002.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.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. p. 196 - 198. DOI : 10.1109/ACSSC.2010.5757497.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.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.Multichannel Compressed Sensing via Source Separation for Hyperspectral Images
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.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. p. 5490 - 5493. DOI : 10.1109/ICASSP.2010.5495208.Compressed Sensing: When sparsity meets sampling
Optical and Digital Image Processing - Fundamentals and Applications; Wiley-Blackwell, 2010.Semi-supervised Extraction of Audio-Visual Sources
2010Plenoptic based super-resolution for omnidirectional image sequences
2010. IEEE International Conference on Image Processing (ICIP), Hong Kong, September 26-29, 2010. p. 2829 - 2832. DOI : 10.1109/ICIP.2010.5652095.Estimating and Learning the Trajectory of Mobile Phones
2010Method and system for automatic objects localization
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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.Fast Structure from Motion for Planar Image Sequences
2010. 2010 European Signal Processing Conference, Aalborg, August 23-27 2010.Parallel Spread Spectrum MR Imaging
2010Wavelets on the Sphere
Four Short Courses on Harmonic Analysis; Boston: Birkhäuser, 2010. p. 131 - 174.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.Tracking and Structure from Motion
2010A (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. p. 2956 - 2959. DOI : 10.1109/ISCAS.2010.5538021.Multichannel Compressed Sensing via Source Separation for Hyperspectral Images
2010. Eusipco 2010, Aalborg, Denmark, 23-27 August, 2010.An optimal first-order solver for the TV-$L_1$ optical flow problem
2010Blind Audio-Visual Source Separation based on Sparse Redundant Representations
IEEE Transactions on Multimedia. 2010. DOI : 10.1109/TMM.2010.2050650.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. DOI : 10.1109/ICIP.2010.5653412.Audio-based nonlinear video diffusion
2010. IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Dallas, March 14-19, 2010. p. 2486 - 2489. DOI : 10.1109/ICASSP.2010.549489.Cosmic string detection from interferometric data of the microwave background radiation
2009A Master-Slave Approach to Detect and Match Objects Across Several Uncalibrated Moving Cameras
2009TV-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.Distributed Compressed Sensing for Sensor Networks Using Thresholding
2009. Wavelet XIII, SPIE, San Diego, CA, USA, August 2-6, 2009. p. 7446 - 50. DOI : 10.1117/12.827880.CMOS Compressed Imaging by Random Convolution
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, 19 -24 April 2009.A Variational Framework for Structure from Motion in Omnidirectional Image Sequences
2009Learning bimodal structure in audio-visual data
IEEE Transactions on Neural Networks. 2009. DOI : 10.1109/TNN.2009.2032182.The Panoptic Camera - Plenoptic interpolation in an omnidirectional polydioptric camera
2009CMOS 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.Sparsity & [and] dictionaries - algorithms & [and] design
Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4349.Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals
2009. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP09), Taipei, Taiwan, 2009. p. 465 - 468. DOI : 10.1109/ICASSP.2009.4959621.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.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.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.Compressed sensing for radio interferometry: prior-enhanced Basis Pursuit imaging techniques
2009. SPARS'09, Saint-Malo, April 06-09, 2009.Geometric Video Approximation Using Weighted Matching Pursuit
IEEE Transactions on Image Processing. 2009. DOI : 10.1109/TIP.2009.2021315.Compressed sensing for radio interferometry: spread spectrum imaging techniques
2009. WAVELET XIII, SPIE09, San Diego, August 02-06, 2009. DOI : 10.1117/12.824713.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. p. 1469 - 1472. DOI : 10.1109/ICIP.2009.5414552.Method for spatially scalable video coding
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Monthly Notices of the Royal Astronomical Society. 2009. DOI : 10.1111/j.1365-2966.2009.15519.x.Compressed sensing imaging techniques for radio interferometry
Monthly Notices of the Royal Astronomical Society. 2009. DOI : 10.1111/j.1365-2966.2009.14665.x.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.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.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. p. 3445 - 3448. DOI : 10.1109/ICASSP.2009.4960366.Method for spatially scalable video coding
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2009Distributed Compressed Sensing for Sensor Networks Using Thresholding
2009. Wavelet XIII, SPIE, San Diego, CA, USA, August 2-6, 2009. p. 7446-50. DOI : 10.1117/12.827880.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.Compressed sensing for radio interferometry: prior-enhanced Basis Pursuit imaging techniques
2009. SPARS'09, Saint-Malo, April 06-09, 2009.Compressed sensing for radio interferometry: spread spectrum imaging techniques
2009. WAVELET XIII, SPIE09, San Diego, August 02-06, 2009. DOI : 10.1117/12.824713.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 Master-Slave Approach to Detect and Match Objects Across Several Uncalibrated Moving Cameras
2009CMOS Compressed Imaging by Random Convolution
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, Taiwan, 19 -24 April 2009.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.Cosmic string detection from interferometric data of the microwave background radiation
2009A 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.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.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. p. 1469-1472. DOI : 10.1109/ICIP.2009.5414552.The Panoptic Camera - Plenoptic interpolation in an omnidirectional polydioptric camera
2009Sparsity & [and] dictionaries - algorithms & [and] design
Lausanne, EPFL, 2009. DOI : 10.5075/epfl-thesis-4349.Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals
2009. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP09), Taipei, Taiwan, 2009. p. 465-468. DOI : 10.1109/ICASSP.2009.4959621.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. p. 3445-3448. DOI : 10.1109/ICASSP.2009.4960366.Compressed sensing imaging techniques for radio interferometry
Monthly Notices of the Royal Astronomical Society. 2009. DOI : 10.1111/j.1365-2966.2009.14665.x.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.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.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.Learning bimodal structure in audio-visual data
IEEE Transactions on Neural Networks. 2009. DOI : 10.1109/TNN.2009.2032182.Geometric Video Approximation Using Weighted Matching Pursuit
IEEE Transactions on Image Processing. 2009. DOI : 10.1109/TIP.2009.2021315.Visual Attention on the Sphere
2008. IEEE Transactions on Image Processing, San Diego, CA, USA, October 12-15, 2008. p. 200-2014. DOI : 10.1109/TIP.2008.2003415.The spherical approach to omnidirectional visual attention
2008. European Signal Processing Conference 2008, EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008.Typical Case Analysis of Sparse Recovery with OMP
Workshop on Sparsity and its application to large inverse problems (Inspire 2008), Robinson College, Cambridge University, Cambridge UK, December 14-15, 2008.Situational Awareness Using A Single Omnidirectional Camera
2008Sparsity-based Source Separation with Scale-Discretized Steerable Wavelets
SIAM Imaging Science Conference, San Diego, July 7-9, 2008.Wavelets on Graphs via Spectral Graph Theory
Workshop on Sparsity and its application to large inverse problems, Cambridge, UK, December 14-15, 2008.Compressed sensing imaging techniques for aperture synthesis by radio interferometry
"Workshop on Sparsity and its application to large inverse problems", Cambridge University, Cambridge UK, December 14-15, 2008.Learning sparse generative models of audiovisual signals
2008. EUSIPCO'08, Lausanne, Switzerland, 25-29 Aug. 2008.On finding approximate nearest neighbours in a set of compressible signals
2008. EUSIPCO'08, Lausanne, Switzerland.Object Detection and Matching in a Mixed Network of Fixed and Mobile Cameras
2008. ACM International Conference on Multimedia, Vancouver, Canada, October 31, 2008. DOI : 10.1145/1463542.1463545.Dictionary Learning Based Dimensionality Reduction for Classification
2008. ISCCSP, Malta, March 2008. p. 780-785. DOI : 10.1109/ISCCSP.2008.4537328.Shape from Texture for Omnidirectional Images
2008. EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008.Average case analysis of sparse recovery with Thresholding: New bounds based on average dictionary coherence
2008. 2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas, Nevada, 30.03.2008 - 05.04.2008. p. 3877-3880. DOI : 10.1109/ICASSP.2008.4518500.On the estimation of geodesic paths on sampled manifolds under random projections
2008. IEEE International Conference on Image Processing, San Diego, October 2008. p. 1840-1843. DOI : 10.1109/ICIP.2008.4712136.Exact reconstruction with directional wavelets on the sphere
Monthly Notices of the Royal Astronomical Society. 2008. DOI : 10.1111/j.1365-2966.2008.13448.x.Blind Audiovisual Separation based on Redundant Representations
2008. IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, Nevada, U.S.A., March 30 - April 4, 2008. p. 1841-1844. DOI : 10.1109/ICASSP.2008.4517991.Non-Gaussianity analysis on local morphological measures of WMAP data
Monthly Notices of the Royal Astronomical Society. 2008. DOI : 10.1111/j.1365-2966.2008.12901.x.Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms
Journal of Fourier Analysis and Applications. 2008. DOI : 10.1007/s00041-008-9044-y.Probing dark energy with steerable wavelets through correlation of WMAP and NVSS local morphological measures
Monthly Notices of the Royal Astronomical Society. 2008. DOI : 10.1111/j.1365-2966.2007.12776.x.The continuous wavelet transform on conic sections
International Journal of Wavelets, Multiresolution and Information Processing. 2008. DOI : 10.1142/S0219691308002288.Compressed sensing and redundant dictionaries
IEEE Transactions on Information Theory. 2008. DOI : 10.1109/TIT.2008.920190.Dictionary preconditioning for greedy algorithms
IEEE Transactions on Signal Processing. 2008. DOI : 10.1109/TSP.2007.911494.Multichannel thresholding with sensing dictionaries
2007. Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP'07), St Thomas, US Virgin Islands, December 2007. p. 133-136. DOI : 10.1109/CAMSAP.2007.4497983.Algorithmic aspects of sparse approximations
Lausanne, EPFL, 2007. DOI : 10.5075/epfl-thesis-3936.Average case analysis of multichannel sparse approximations using p- thresholding
2007. Conference on Wavelets XII, San Diego, Aug 26-29, 2007. p. 67011X. DOI : 10.1117/12.733073.On finding nearest neighbors in a set of compressible signals
IEEE Transactions on Signal Processing. 2007.Algorithms and methods for sparse approximation in structured dictionaries
Lausanne, EPFL, 2007. DOI : 10.5075/epfl-thesis-3834.Alignment and signed-intensity anomalies in WMAP data
Monthly Notices of the Royal Astronomical Society. 2007. DOI : 10.1111/j.1365-2966.2007.12290.x.Average Performance Analysis for Thresholding
IEEE Signal Processing Letters. 2007. DOI : 10.1109/LSP.2007.903248.Blind Audiovisual Source Separation Using Sparse Redundant Representations
2007Blind Audiovisual Source Separation Using Sparse Representations
2007. IEEE International Conference on Image Processing, San Antonio, Texas, USA, September, 16-19, 2007. p. 301-304. DOI : 10.1109/ICIP.2007.4379306.On the modelling of multi-modal data using redundant dictionaries
Lausanne, EPFL, 2007. DOI : 10.5075/epfl-thesis-3741.Tracking Atoms with Particles for Audio-visual Source Localization
2007. 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, Honolulu, Hawaii, USA, 15-20.04.07. p. 753-756. DOI : 10.1109/ICASSP.2007.366345.Average case analysis of multichannel thresholding
2007. ICASSP07, Honolulu. p. 853-856. DOI : 10.1109/ICASSP.2007.366370.Wavelets on the two-sphere and other conic sections
Journal of Fourier Analysis and Applications. 2007. DOI : 10.1007/s00041-006-6013-0.Learning Multi-Modal Dictionaries
IEEE Transactions on Image Processing. 2007. DOI : 10.1109/TIP.2007.901813.Scale-space analysis and active contours for omnidirectional images
IEEE Transactions on Image Processing. 2007. DOI : 10.1109/TIP.2007.899008.Matching Pursuit with Block Incoherent Dictionaries
IEEE Transactions on Signal Processing. 2007. DOI : 10.1109/TSP.2007.896022.Fast Global Minimization of the Active Contour/Snake Model
Journal of Mathematical Imaging and Vision. 2007. DOI : 10.1007/s10851-007-0002-0.Fast spin +-2 spherical harmonics transforms and application in cosmology
Journal of Computational Physics. 2007. DOI : 10.1016/j.jcp.2007.07.005.Continuous Wavelet Transform on the Hyperboloid
Applied and Computational Harmonic Analysis. 2007. DOI : 10.1016/j.acha.2007.01.003.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
PhD Students
Pengkang Guo, Mohan Vamsi Nallapareddy, Ali Hariri, Victor Borruat, Maria Boulougouri, Anaïs Betsabeh Haget, Jiying Zhang, Mia Zosso
Past EPFL PhD Students
Iva Bogdanova Vandergheynst, Rosa Maria Figueras Ventura, Oscar Divorra Escoda, Ana Dimitrijevic, Adel Rahmoune, Lorenzo Granai, Philippe Jost, Lorenzo Peotta, Gianluca Monaci, Karin Schnass, Alexandre Alahi, Anna Llagostera Casanovas, Mohammad Golbabaee, Luigi Bagnato, Emmanuel D'Angelo, Gilles Puy, Mahdad Hosseini Kamal, William Guicquéro, Etienne Rivet, Vassilis Kalofolias, Gilles André Courtois, Johann Paratte, Nathanaël Perraudin, Kirell Benzi, Nauman Shahid, Lionel Martin, Konstantinos Pitas, Rodrigo Cerqueira Gonzalez Pena, Helena Peic Tukuljac, Volodymyr Miz, Eda Bayram, Vu Thach Pham, Michaël Defferrard, Vincent Grimaldi, Stanislav Sergeev, Nikolaos Karalias, Kyle Michael Matoba, Mattia Atzeni
Past EPFL PhD Students as codirector
Hossein Mamaghanian, Xiaowen Dong, Eda Bayram, Maxime Volery, Anna Mary Mc Cann
Courses
Matrix analysis
EE-312
These lectures are intended as an applied linear algebra course, with a particular focus on providing intuition on the most standard tools. A particular emphasis is put on practice and digital notebooks help getting familiar with the most important concepts.
Signals and systems II (for MT)
MICRO-311(a)
This course is an introduction to the theory of discrete linear time invariant systems. Their properties and fundamental characteristics are discussed as well as the fundamental tools that are used to study and design them (Fourier transform, Z transform).
Signals and systems II (for SV)
MICRO-311(b)
This course is an introduction to the theory of discrete linear time invariant systems. Their properties and fundamental characteristics are discussed as well as the fundamental tools that are used to study and design them (Fourier transform, Z transform).