94 citations · 215 across the 11 of their papers we have counts for
13 papers
TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors
Tiantian Feng, Brandon M Booth, Karel Mundnich +4
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-…
Joint Graph and Vertex Importance Learning
Benjamin Girault, Eduardo Pavez, Antonio Ortega
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…
Two Channel Filter Banks on Arbitrary Graphs with Positive Semi Definite Variation Operators
Eduardo Pavez, Benjamin Girault, Antonio Ortega +1
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 arbi…
Spectral folding and two-channel filter-banks on arbitrary graphs
Eduardo Pavez, Benjamin Girault, Antonio Ortega +1
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 do…
CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics
Oluwasegun Ojo, Augusto García-Agundez, Benjamin Girault +22
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 limit…
TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers
Karel Mundnich, Brandon M. Booth, Michelle L'Hommedieu +11
We present a novel longitudinal multimodal corpus of physiological and behavioral data collected from direct clinical providers in a hospital workplace. We designed the study to in…
Region adaptive graph fourier transform for 3d point clouds
Eduardo Pavez, Benjamin Girault, Antonio Ortega +1
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 spati…
Graph Vertex Sampling with Arbitrary Graph Signal Hilbert Spaces
Benjamin Girault, Antonio Ortega, Shrikanth S. Narayayan
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…
Generating Labels for Regression of Subjective Constructs using Triplet Embeddings
Karel Mundnich, Brandon M. Booth, Benjamin Girault +1
Human annotations serve an important role in computational models where the target constructs under study are hidden, such as dimensions of affect. This is especially relevant in m…
What's in a frequency: new tools for graph Fourier Transform visualization
Benjamin Girault, Antonio Ortega
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 s…
Graph Variogram: A novel tool to measure spatial stationarity
Alexander Serrano, Benjamin Girault, Antonio Ortega
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…
Irregularity-Aware Graph Fourier Transforms
Benjamin Girault, Antonio Ortega, Shrikanth Narayanan
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 v…
Localization bounds for the graph translation
Benjamin Girault, Paulo Gonçalves, Shrikanth Narayanan +1
The graph translation operator has been defined with good spectral properties in mind, and in particular with the end goal of being an isometric operator. Unfortunately, the result…