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Pierre Vandergheynst

Cette personne a quitté l’EPFL

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Publications associées (214)

Page 5 sur 11

Approximate Compressed Sensing: Ultra-Low Power Biosignal Processing via Aggressive Voltage Scaling on a Hybrid Memory Multi-core Processor

David Atienza Alonso, Pierre Vandergheynst, Luca Benini, Hossein Mamaghanian

Technology scaling enables the design of low cost biosignal processing chips suited for emerging wireless body-area sensing applications. Energy consumption severely limits such applications and memories are becoming the energy bottleneck to achieve ultra- ...

IEEE/ACM Press2014

A Convex Solution to Disparity Estimation from Light Fields via the Primal-Dual Method

Pierre Vandergheynst, Mahdad Hosseini Kamal

We present a novel approach to the reconstruction of depth from light field data. Our method uses dictionary representations and group sparsity constraints to derive a convex formulation. Although our solution results in an increase of the problem dimensio ...

2014

Spread spectrum magnetic resonance imaging

Jean-Philippe Thiran, Rolf Gruetter, Dimitri Nestor Alice Van De Ville, Pierre Vandergheynst, José Pedro Rebelo Ferreira Marques, Yves Wiaux, Gilles Puy

We propose a novel compressed sensing technique to accelerate the magnetic resonance imaging (MRI) acquisition process. The method, coined spread spectrum MRI or simply s2MRI, consists of pre-modulating the signal of interest by a linear chirp before rando ...

Institute of Electrical and Electronics Engineers2012

Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation

Pierre Vandergheynst, Xavier Bresson, Vasilis Kalofolias, Kirell Maël Benzi

This work formulates a novel song recommender system as a matrix completion problem that benefits from collaborative filtering through Non-negative Matrix Factorization (NMF) and content-based filtering via total variation (TV) on graphs. The graphs encode ...

Ieee2016

Anomaly detection in the dynamics of web and social networks

Pierre Vandergheynst, Benjamin Ricaud, Kirell Maël Benzi, Volodymyr Miz

In this work, we propose a new, fast and scalable method for anomaly detection in large time-evolving graphs. It may be a static graph with dynamic node attributes (e.g. time-series), or a graph evolving in time, such as a temporal network. We define an an ...

2019

Matching pursuit-based shape representation and recognition using scale-space

Jean-Philippe Thiran, Pierre Vandergheynst, François Mendels

In this paper, we propose an analytical low-level representation of images, obtained by a decomposition process, namely the matching pursuit (MP) algorithm, as a new way of describing objects through a general continuous description using an affine invaria ...

2006

Low rate and flexible image coding with redundant representations

Pascal Frossard, Pierre Vandergheynst

New breakthroughs in image coding possibly rely in signal decomposition through non-separable basis functions. The work proposed in this paper provides an adaptive way of representing images as a sum of two-dimensional features. It presents a low bit-rate ...

2006

Clustering on Multi-Layer Graphs via Subspace Analysis on Grassmann Manifolds

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

Relationships between entities in datasets are often of multiple types, which can naturally be modeled by a multi-layer graph; a common vertex set represents the entities and the edges on different layers capture different types of relationships between th ...

2013

Robust Real-time Pedestrians Detection in Urban Environments with a Network of Low Resolution Cameras

Michel Bierlaire, Pierre Vandergheynst, Alexandre Massoud Alahi

Detecting that pedestrians are present in front of a vehicle is highly desirable to avoid dangerous traffic situations. A novel vision-based system is presented to automatically detect far-away pedestrians with low-resolution cameras mounted in vehicles gi ...

Elsevier2014

On Variable Density Compressive Sampling

Pierre Vandergheynst, Yves Wiaux, Gilles Puy

We advocate an optimization procedure for variable density sampling in the context of compressed sensing. In this perspective, we introduce a minimization problem for the coherence between the sparsity and sensing bases, whose solution provides an optimize ...

IEEE Institute of Electrical and Electronics Engineers2011

Blind Audiovisual Source Separation Using Sparse Representations

Pierre Vandergheynst, Gianluca Monaci, Anna Llagostera Casanovas

In this work we present a method to jointly separate active audio and visual structures on a given mixture. Blind Audiovisual Source Separation is achieved exploiting the coherence between a video signal and a one-microphone audio track. The efficient repr ...

2007

Stream Carving: an Adaptive Seam Carving Algorithm

Pierre Vandergheynst, Alexandre Massoud Alahi

We propose a new content-aware image resizing scheme, "Stream Carving", which is based on the well-known seam carving method. Our algorithm may introduce larger seams in the retargeted image, i.e. seams with a width larger than one pixel, that we call "str ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

From Bits to Images: Inversion of Local Binary Descriptors

Pierre Vandergheynst, Alexandre Massoud Alahi, Laurent Jacques, Emmanuel D'Angelo

Local Binary Descriptors are becoming more and more popular for image matching tasks, especially when going mobile. While they are extensively studied in this context, their ability to carry enough information in order to infer the original image is seldom ...

Institute of Electrical and Electronics Engineers2014

A Variational Framework for Structure from Motion in Omnidirectional Image Sequences

Pascal Frossard, Pierre Vandergheynst, Luigi Bagnato

We address the problem of depth and ego-motion estimation from omnidirectional images. We propose a correspondence-free structure from motion problem for images mapped on the 2-sphere. A novel graph-based variational framework is proposed for depth estimat ...

Springer Verlag2011

System, device, and method for contextual knowledge retrieval and display

Pierre Vandergheynst, Benjamin Ricaud, Kirell Maël Benzi

A method to extract patterns of activity from time series of data structured as a network of objects, the method comprising the steps of creating a base graph of similar or related items from a given corpus by comparing intrinsic features of the items, com ...

2017

Blind Audio-Visual Source Separation based on Sparse Redundant Representations

Pierre Vandergheynst, Rémi Gribonval, Gianluca Monaci, Anna Llagostera Casanovas

In this paper we propose a novel method which is able to detect and separate audio-visual sources present in a scene. Our method exploits the correlation between the video signal captured with a camera and a synchronously recorded one-microphone audio trac ...

2010

Reverberant Audio Source Separation via Sparse and Low-Rank Modeling

Pierre Vandergheynst

The performance of audio source separation from underde- termined convolutive mixture assuming known mixing filters can be significantly improved by using an analysis sparse prior optimized by a reweighting l1 scheme and a wideband data- fidelity term, as ...

IEEE Institute of Electrical and Electronics Engineers2014

The PANOPTIC Camera: A Plenoptic Sensor with Real-Time Omnidirectional Capability

Yusuf Leblebici, Pierre Vandergheynst, Alexandre Schmid, Laurent Jacques, Hossein Afshari, Luigi Bagnato

A new biologically-inspired vision sensor made of one hundred "eyes" is presented, which is suitable for real-time acquisition and processing of 3-D image sequences. This device, named the Panoptic camera, consists of a layered arrangement of approximately ...

Springer Verlag2013

TV-Regularized Generation of Planar Images from Omnicams

Pascal Frossard, Pierre Vandergheynst, Laurent Jacques, Didier Raboud

This paper addresses the problem of mapping images between different vision sensors. Such a mapping could be modeled as a sampling problem that has to encompass the change of geometry between the two sensors and the specific discretization of the real scen ...

2009

The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains

Pascal Frossard, Pierre Vandergheynst, David Shuman

Ieee-Inst Electrical Electronics Engineers Inc2013