Eduardo Pavez

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 52

Top Topics

Graph Laplacian

Top Venues

Publications

Jorge F. Silva, Victor Faraggi, Camilo Ramírez, Alvaro Egaña, Eduardo Pavez
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures. CoRR (2024)
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
Fast graph-based denoising for point cloud color information. CoRR (2024)
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
Full-reference Point Cloud Quality Assessment Using Spectral Graph Wavelets. CoRR (2024)
Ryosuke Watanabe, Shashank N. Sridhara, Haoran Hong, Eduardo Pavez, Keisuke Nonaka, Tatsuya Kobayashi, Antonio Ortega
Full reference point cloud quality assessment using support vector regression. CoRR (2024)
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
Fast Graph-Based Denoising For Point Cloud Color Information. ICASSP (2024)
Wen-Yang Lu, Eduardo Pavez, Antonio Ortega, Xin Zhao, Shan Liu
Adaptive Online Learning of Separable Path Graph Transforms for Intra-Prediction. PCS (2024)
Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega
Irregularity-Aware Bandlimited Approximation for Graph Signal Interpolation. ICASSP (2024)
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
Image Coding Via Perceptually Inspired Graph Learning. ICIP (2023)
Xin Xiong, Eduardo Pavez, Antonio Ortega, Balu Adsumilli
Rate-Distortion Optimization with Alternative References for UGC Video Compression. ICASSP (2023)
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
Graph-Based Point Cloud Color Denoising with 3-Dimensional Patch-Based Similarity. ICASSP (2023)
Benjamin Girault, Eduardo Pavez, Antonio Ortega
Joint Graph and Vertex Importance Learning. CoRR (2023)
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
Graph Wavelet-Based Point Cloud Geometric Denoising with Surface-Consistent Non-Negative Kernel Regression. ICASSP (2023)
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
Two Channel Filter Banks on Arbitrary Graphs With Positive Semi Definite Variation Operators. IEEE Trans. Signal Process. 71 (2023)
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106 (1) (2023)
Benjamin Girault, Eduardo Pavez, Antonio Ortega
Joint Graph and Vertex Importance Learning. EUSIPCO (2023)
Eduardo Pavez, Enrique Perez, Xin Xiong, Antonio Ortega, Balu Adsumilli
Compression of User Generated Content Using Denoised References. ICIP (2022)
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
Motion estimation and filtered prediction for dynamic point cloud attribute compression. CoRR (2022)
Eduardo Pavez
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency. AISTATS (2022)
Ryosuke Watanabe, Keisuke Nonaka, Haruhisa Kato, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
Point Cloud Denoising Using Normal Vector-Based Graph Wavelet Shrinkage. ICASSP (2022)
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
Point Cloud Attribute Compression Via Chroma Subsampling. ICASSP (2022)
Wen-Yang Lu, Eduardo Pavez, Antonio Ortega, Debargha Mukherjee, Onur G. Guleryuz, Keng-Shih Lu
Intra Prediction of Regular and Near-Regular Textures Via Graph-Based Inpainting. ICIP (2022)
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
Fractional Motion Estimation for Point Cloud Compression. CoRR (2022)
Keisuke Nonaka, Ryosuke Watanabe, Haruhisa Kato, Tatsuya Kobayashi, Eduardo Pavez, Antonio Ortega
Graph-Based Point Cloud Denoising Using Shape-Aware Consistency For Free-Viewpoint Video. ICASSP (2022)
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
Motion Estimation And Filtered Prediction For Dynamic Point Cloud Attribute Compression. PCS (2022)
Eduardo Pavez, Enrique Perez, Xin Xiong, Antonio Ortega, Balu Adsumilli
Compression of user generated content using denoised references. CoRR (2022)
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
Fractional Motion Estimation for Point Cloud Compression. DCC (2022)
Eduardo Pavez, André L. Souto, Ricardo L. de Queiroz, Antonio Ortega
Multi-Resolution Intra-Predictive Coding Of 3d Point Cloud Attributes. ICIP (2021)
Eduardo Pavez, Antonio Ortega
Covariance Matrix Estimation With Non Uniform and Data Dependent Missing Observations. IEEE Trans. Inf. Theory 67 (2) (2021)
Dion Eustathios Olivier Tzamarias, Eduardo Pavez, Benjamin Girault, Antonio Ortega, Ian Blanes, Joan Serra-Sagristà
Orthogonality and Zero DC Tradeoffs in Biorthogonal Graph Filterbanks. ICASSP (2021)
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields. CoRR (2021)
Eduardo Pavez
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency. CoRR (2021)
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
A Graph Learning Algorithm Based On Gaussian Markov Random Fields And Minimax Concave Penalty. ICASSP (2021)
Eduardo Pavez, André L. Souto, Ricardo L. de Queiroz, Antonio Ortega
Multi-resolution intra-predictive coding of 3D point cloud attributes. CoRR (2021)
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
Spectral Folding And Two-Channel Filter-Banks On Arbitrary Graphs. ICASSP (2021)
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega
Cylindrical Coordinates for Lidar Point Cloud Compression. ICIP (2021)
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
Region adaptive graph fourier transform for 3d point clouds. CoRR (2020)
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
Region Adaptive Graph Fourier Transform for 3D Point Clouds. ICIP (2020)
Eduardo Pavez, Antonio Ortega
An Efficient Algorithm for Graph Laplacian Optimization Based on Effective Resistances. ACSSC (2019)
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
Graph Learning From Filtered Signals: Graph System and Diffusion Kernel Identification. IEEE Trans. Signal Inf. Process. over Networks 5 (2) (2019)
Eduardo Pavez, Antonio Ortega
Active Covariance Estimation by Random Sub-Sampling of Variables. ICASSP (2018)
Keng-Shih Lu, Eduardo Pavez, Antonio Ortega
On Learning Laplacians of Tree Structured Graphs. DSW (2018)
Eduardo Pavez, Hilmi E. Egilmez, Antonio Ortega
Learning Graphs With Monotone Topology Properties and Multiple Connected Components. IEEE Trans. Signal Process. 66 (9) (2018)
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
Graph Learning from Filtered Signals: Graph System and Diffusion Kernel Identification. CoRR (2018)
Eduardo Pavez, Antonio Ortega
Active covariance estimation by random sub-sampling of variables. CoRR (2018)
Eduardo Pavez, Philip A. Chou
Dynamic polygon cloud compression. ICASSP (2017)
Eduardo Pavez, Hilmi E. Egilmez, Antonio Ortega
Learning graphs with monotone topology properties. GlobalSIP (2017)
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
Graph Learning From Data Under Laplacian and Structural Constraints. IEEE J. Sel. Top. Signal Process. 11 (6) (2017)
Eduardo Pavez, Antonio Ortega, Debargha Mukherjee
Learning separable transforms by inverse covariance estimation. ICIP (2017)
Eduardo Pavez, Philip A. Chou, Ricardo L. de Queiroz, Antonio Ortega
Dynamic Polygon Cloud Compression. CoRR (2016)
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
Graph Learning from Data under Structural and Laplacian Constraints. CoRR (2016)
Eduardo Pavez, Antonio Ortega
Generalized Laplacian precision matrix estimation for graph signal processing. ICASSP (2016)
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
Graph learning with Laplacian constraints: Modeling attractive Gaussian Markov random fields. ACSSC (2016)
Eduardo Pavez, Hilmi E. Egilmez, Yongzhe Wang, Antonio Ortega
GTT: Graph template transforms with applications to image coding. PCS (2015)
Eduardo Pavez, Nicolò Michelusi, Aamir Anis, Urbashi Mitra, Antonio Ortega
Markov chain sparsification with independent sets for approximate value iteration. Allerton (2015)
Jorge F. Silva, Eduardo Pavez
Compressibility of infinite sequences and its interplay with compressed sensing recovery. APSIPA (2012)
Eduardo Pavez, Jorge F. Silva
Analysis and design of Wavelet-Packet Cepstral coefficients for automatic speech recognition. Speech Commun. 54 (6) (2012)