Benjamin Girault
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View article: TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors
TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors Open
Sleep is important for everyday functioning, overall well-being, and quality of life. Recent advances in wearable sensing technology have enabled continuous, noninvasive, and cost-effective monitoring of sleep patterns in real-world natura…
View article: Joint Graph and Vertex Importance Learning
Joint Graph and Vertex Importance Learning Open
In this paper, we explore the topic of graph learning from the perspective of\nthe Irregularity-Aware Graph Fourier Transform, with the goal of learning the\ngraph signal space inner product to better model data. We propose a novel\nmethod…
View article: Joint Graph and Vertex Importance Learning
Joint Graph and Vertex Importance Learning Open
In this paper, we explore the topic of graph learning from the perspective of the Irregularity-Aware Graph Fourier Transform, with the goal of learning the graph signal space inner product to better model data. We propose a novel method to…
View article: Two Channel Filter Banks on Arbitrary Graphs With Positive Semi Definite Variation Operators
Two Channel Filter Banks on Arbitrary Graphs With Positive Semi Definite Variation Operators Open
International audience
View article: TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit
TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit Open
The TILES-2019 data set consists of behavioral and physiological data gathered from 57 medical residents (i.e., trainees) working in an intensive care unit (ICU) in the United States. The data set allows for the exploration of longitudinal…
View article: Two Channel Filter Banks on Arbitrary Graphs with Positive Semi Definite Variation Operators
Two Channel Filter Banks on Arbitrary Graphs with Positive Semi Definite Variation Operators Open
We propose novel two-channel filter banks for signals on graphs. Our designs can be applied to arbitrary graphs, given a positive semi definite variation operator, while using arbitrary vertex partitions for downsampling. The proposed gene…
View article: The CoronaSurveys System for COVID-19 Incidence Data Collection and Processing
The CoronaSurveys System for COVID-19 Incidence Data Collection and Processing Open
CoronaSurveys is an ongoing interdisciplinary project developing a system to infer the incidence of COVID-19 around the world using anonymous open surveys. The surveys have been translated into 60 languages and are continuously collecting …
View article: Spectral Folding And Two-Channel Filter-Banks On Arbitrary Graphs
Spectral Folding And Two-Channel Filter-Banks On Arbitrary Graphs Open
International audience
View article: Spectral folding and two-channel filter-banks on arbitrary graphs
Spectral folding and two-channel filter-banks on arbitrary graphs Open
In the past decade, several multi-resolution representation theories for graph signals have been proposed. Bipartite filter-banks stand out as the most natural extension of time domain filter-banks, in part because perfect reconstruction, …
View article: Spectral folding and two-channel filter-banks on arbitrary graphs
Spectral folding and two-channel filter-banks on arbitrary graphs Open
In the past decade, several multi-resolution representation theories for graph signals have been proposed. Bipartite filter-banks stand out as the most natural extension of time domain filter-banks, in part because perfect reconstruction, …
View article: Region Adaptive Graph Fourier Transform for 3D Point Clouds
Region Adaptive Graph Fourier Transform for 3D Point Clouds Open
We introduce the Region Adaptive Graph Fourier Transform (RA-GFT) for compression of 3D point cloud attributes. The RA-GFT is a multiresolution transform, formed by combining spatially localized block transforms. We assume the points are o…
View article: CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics
CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics Open
The world is suffering from a pandemic called COVID-19, caused by the SARS-CoV-2 virus. National governments have problems evaluating the reach of the epidemic, due to having limited resources and tests at their disposal. This problem is e…
View article: CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the\n Incidence and Evolution of Epidemics
CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the\n Incidence and Evolution of Epidemics Open
The world is suffering from a pandemic called COVID-19, caused by the\nSARS-CoV-2 virus. National governments have problems evaluating the reach of\nthe epidemic, due to having limited resources and tests at their disposal. This\nproblem i…
View article: Graph Vertex Sampling with Arbitrary Graph Signal Hilbert Spaces
Graph Vertex Sampling with Arbitrary Graph Signal Hilbert Spaces Open
Graph vertex sampling set selection aims at selecting a set of ver-tices of a\ngraph such that the space of graph signals that can be reconstructed exactly\nfrom those samples alone is maximal. In this context, we propose to extend\nsampli…
View article: Graph Vertex Sampling with Arbitrary Graph Signal Hilbert Spaces
Graph Vertex Sampling with Arbitrary Graph Signal Hilbert Spaces Open
Graph vertex sampling set selection aims at selecting a set of ver-tices of a graph such that the space of graph signals that can be reconstructed exactly from those samples alone is maximal. In this context, we propose to extend sampling …
View article: What's in a frequency: new tools for graph Fourier Transform visualization
What's in a frequency: new tools for graph Fourier Transform visualization Open
Recent progress in graph signal processing (GSP) has addressed a number of problems, including sampling and filtering. Proposed methods have focused on generic graphs and defined signals with certain characteristics, e.g., bandlimited sign…
View article: What's in a frequency: new tools for graph Fourier Transform visualization
What's in a frequency: new tools for graph Fourier Transform visualization Open
Recent progress in graph signal processing (GSP) has addressed a number of problems, including sampling and filtering. Proposed methods have focused on generic graphs and defined signals with certain characteristics, e.g., bandlimited sign…
View article: GRAPH VARIOGRAM: A NOVEL TOOL TO MEASURE SPATIAL STATIONARITY
GRAPH VARIOGRAM: A NOVEL TOOL TO MEASURE SPATIAL STATIONARITY Open
Irregularly sampling a spatially stationary random field does not yield a\ngraph stationary signal in general. Based on this observation, we build a\ndefinition of graph stationarity based on intrinsic stationarity, a less\nrestrictive def…
View article: Graph Variogram: A novel tool to measure spatial stationarity
Graph Variogram: A novel tool to measure spatial stationarity Open
Irregularly sampling a spatially stationary random field does not yield a graph stationary signal in general. Based on this observation, we build a definition of graph stationarity based on intrinsic stationarity, a less restrictive defini…
View article: Irregularity-Aware Graph Fourier Transforms
Irregularity-Aware Graph Fourier Transforms Open
In this paper, we present a novel generalization of the graph Fourier\ntransform (GFT). Our approach is based on separately considering the\ndefinitions of signal energy and signal variation, leading to several possible\northonormal GFTs. …
View article: Irregularity-Aware Graph Fourier Transforms
Irregularity-Aware Graph Fourier Transforms Open
In this paper, we present a novel generalization of the graph Fourier transform (GFT). Our approach is based on separately considering the definitions of signal energy and signal variation, leading to several possible orthonormal GFTs. Our…
View article: Local stationarity of graph signals: insights and experiments
Local stationarity of graph signals: insights and experiments Open
In this paper, we look at one of the most crucial ingredient to graph signal processing: the graph. By taking a step back on the conventional approach using Gaussian weights, we are able to obtain a better spectral representation of a stoc…
View article: Grasp: A matlab toolbox for graph signal processing
Grasp: A matlab toolbox for graph signal processing Open
demo
View article: Towards a definition of local stationarity for graph signals
Towards a definition of local stationarity for graph signals Open
In this paper, we extend the recent definition of graph stationarity into a definition of local stationarity. Doing so, we present a metric to assess local stationarity using projections on localized atoms on the graph. Energy of these pro…
View article: Localization bounds for the graph translation
Localization bounds for the graph translation Open
The graph translation operator has been defined with good spectral properties\nin mind, and in particular with the end goal of being an isometric operator.\nUnfortunately, the resulting definitions do not provide good intuitions on a\nvert…
View article: Translation on Graphs: An Isometric Shift Operator
Translation on Graphs: An Isometric Shift Operator Open
International audience
View article: Stationary graph signals using an isometric graph translation
Stationary graph signals using an isometric graph translation Open
International audience