Eduardo Pavez

Proceedings of the IEEE International Conference on Image Processing, 2023

Rate-Distortion Optimization with Alternative References for UGC Video Compression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Graph Wavelet-Based Point Cloud Geometric Denoising with Surface-Consistent Non-Negative Kernel Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Graph-Based Point Cloud Color Denoising with 3-Dimensional Patch-Based Similarity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Joint Graph and Vertex Importance Learning.

[BibT_eX]

[DOI]

Benjamin Girault

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Motion Estimation And Filtered Prediction For Dynamic Point Cloud Attribute Compression.

[BibT_eX]

[DOI]

Proceedings of the Picture Coding Symposium, 2022

Compression of User Generated Content Using Denoised References.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Intra Prediction of Regular and Near-Regular Textures Via Graph-Based Inpainting.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Point Cloud Denoising Using Normal Vector-Based Graph Wavelet Shrinkage.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Point Cloud Attribute Compression Via Chroma Subsampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Graph-Based Point Cloud Denoising Using Shape-Aware Consistency For Free-Viewpoint Video.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Fractional Motion Estimation for Point Cloud Compression.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2022

Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Covariance Matrix Estimation With Non Uniform and Data Dependent Missing Observations.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Cylindrical Coordinates for Lidar Point Cloud Compression.

[BibT_eX]

[DOI]

Shashank N. Sridhara

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Multi-Resolution Intra-Predictive Coding Of 3d Point Cloud Attributes.

[BibT_eX]

[DOI]

André L. Souto

Ricardo L. de Queiroz

Dion Eustathios Olivier Tzamarias

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Orthogonality and Zero DC Tradeoffs in Biorthogonal Graph Filterbanks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Spectral Folding And Two-Channel Filter-Banks On Arbitrary Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

A Graph Learning Algorithm Based On Gaussian Markov Random Fields And Minimax Concave Penalty.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Region Adaptive Graph Fourier Transform for 3D Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Graph Learning From Filtered Signals: Graph System and Diffusion Kernel Identification.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2019

An Efficient Algorithm for Graph Laplacian Optimization Based on Effective Resistances.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Learning Graphs With Monotone Topology Properties and Multiple Connected Components.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Active Covariance Estimation by Random Sub-Sampling of Variables.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

On Learning Laplacians of Tree Structured Graphs.

[BibT_eX]

[DOI]

Keng-Shih Lu

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

Graph Learning From Data Under Laplacian and Structural Constraints.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2017

Learning separable transforms by inverse covariance estimation.

[BibT_eX]

[DOI]

Debargha Mukherjee

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Dynamic polygon cloud compression.

[BibT_eX]

[DOI]

Philip A. Chou

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Learning graphs with monotone topology properties.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Dynamic Polygon Cloud Compression.

[BibT_eX]

[DOI]

Philip A. Chou

Ricardo L. de Queiroz

CoRR, 2016

Graph Learning from Data under Structural and Laplacian Constraints.

[BibT_eX]

[DOI]

CoRR, 2016

Generalized Laplacian precision matrix estimation for graph signal processing.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Graph learning with Laplacian constraints: Modeling attractive Gaussian Markov random fields.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

GTT: Graph template transforms with applications to image coding.

[BibT_eX]

[DOI]

Proceedings of the 2015 Picture Coding Symposium, 2015

Markov chain sparsification with independent sets for approximate value iteration.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2012

Analysis and design of Wavelet-Packet Cepstral coefficients for automatic speech recognition.

[BibT_eX]

[DOI]

Jorge F. Silva

Speech Commun., 2012

Compressibility of infinite sequences and its interplay with compressed sensing recovery.

[BibT_eX]

[DOI]

Jorge F. Silva