Eduardo Pavez

75 papers A 1B 9C 6Misc 19Journal 33Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
L2G-Net: Local to Global Spectral Graph Neural Networks via Cauchy Factorizations.
CoRR
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
2025 J jnl
Avoiding Quality Saturation in UGC Compression Using Denoised References.
CoRR
Xin Xiong, Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega, Neil Birkbeck, Balu Adsumilli
2025 Misc conf
Fast DCT+: A Family of Fast Transforms Based on Rank-One Updates of the Path Graph.
ICASSP
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
2025 J jnl
Full reference point cloud quality assessment using support vector regression.
Signal Process. Image Commun.
Ryosuke Watanabe, Shashank N. Sridhara, Haoran Hong, Eduardo Pavez, Keisuke Nonaka, Tatsuya Kobayashi, Antonio Ortega
2025 Misc conf
Graph-based Signal Sampling with Adaptive Subspace Reconstruction for Spatially-irregular Sensor Data.
ICASSP
Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega
2025 C conf
INT-DTT+: Low-Complexity Data-Dependent Transforms for Video Coding.
PCS
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega, Tsung-Wei Huang, Thuong Nguyen Canh, Guan-Ming Su, Peng Yin
2025 J jnl
INT-DTT+: Low-Complexity Data-Dependent Transforms for Video Coding.
CoRR
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega, Tsung-Wei Huang, Thuong Nguyen Canh, Guan-Ming Su, Peng Yin
2025 J jnl
Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization.
CoRR
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
2025 Misc conf
No-Reference Point Cloud Quality Assessment Based on Graph Signal Variation.
ICASSP
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
2025 J jnl
Region-Adaptive Learned Hierarchical Encoding for 3D Gaussian Splatting Data.
CoRR
Shashank N. Sridhara, Birendra Kathariya, Fangjun Pu, Peng Yin, Eduardo Pavez, Antonio Ortega
2025 J jnl
Understanding encoder-decoder structures in machine learning using information measures.
Signal Process.
Jorge F. Silva, Victor Faraggi, Camilo Ramírez, Alvaro Egaña, Eduardo Pavez
2024 C conf
Adaptive Online Learning of Separable Path Graph Transforms for Intra-Prediction.
PCS
Wen-Yang Lu, Eduardo Pavez, Antonio Ortega, Xin Zhao, Shan Liu
2024 — conf
Characterizing Probabilistic Structure in Learning Using Information Sufficiency.
MLSP
Victor Faraggi, Jorge F. Silva, Camilo Ramírez, Alvaro Egaña, Eduardo Pavez
2024 C conf
Color-Guided Flying Pixel Correction in Depth Images.
MMSP
Ekamresh Vasudevan, Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega, Raghavendra Singh, Srinath Kalluri
2024 J jnl
Fast DCT+: A Family of Fast Transforms Based on Rank-One Updates of the Path Graph.
CoRR
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
2024 Misc conf
Fast Graph-Based Denoising For Point Cloud Color Information.
ICASSP
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
2024 J jnl
Fast graph-based denoising for point cloud color information.
CoRR
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
2024 C conf
Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines.
MMSP
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
2024 J jnl
Full reference point cloud quality assessment using support vector regression.
CoRR
Ryosuke Watanabe, Shashank N. Sridhara, Haoran Hong, Eduardo Pavez, Keisuke Nonaka, Tatsuya Kobayashi, Antonio Ortega
2024 B conf
Full-Reference Point Cloud Quality Assessment Using Spectral Graph Wavelets.
ICIP
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
2024 J jnl
Full-reference Point Cloud Quality Assessment Using Spectral Graph Wavelets.
CoRR
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
2024 J jnl
Graph-based Scalable Sampling of 3D Point Cloud Attributes.
CoRR
Shashank N. Sridhara, Eduardo Pavez, Ajinkya Jayawant, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
2024 Misc conf
Irregularity-Aware Bandlimited Approximation for Graph Signal Interpolation.
ICASSP
Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega
2024 — conf
Towards Joint Graph Learning and Sampling Set Selection from Data.
IEEECONF
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega
2024 J jnl
Towards joint graph learning and sampling set selection from data.
CoRR
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega
2024 J jnl
Understanding Encoder-Decoder Structures in Machine Learning Using Information Measures.
CoRR
Jorge F. Silva, Victor Faraggi, Camilo Ramírez, Alvaro Egaña, Eduardo Pavez
2023 Misc conf
Graph Wavelet-Based Point Cloud Geometric Denoising with Surface-Consistent Non-Negative Kernel Regression.
ICASSP
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
2023 Misc conf
Graph-Based Point Cloud Color Denoising with 3-Dimensional Patch-Based Similarity.
ICASSP
Ryosuke Watanabe, Keisuke Nonaka, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
2023 B conf
Image Coding Via Perceptually Inspired Graph Learning.
ICIP
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
2023 — conf
Joint Graph and Vertex Importance Learning.
EUSIPCO
Benjamin Girault, Eduardo Pavez, Antonio Ortega
2023 J jnl
Joint Graph and Vertex Importance Learning.
CoRR
Benjamin Girault, Eduardo Pavez, Antonio Ortega
2023 J jnl
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
2023 Misc conf
Rate-Distortion Optimization with Alternative References for UGC Video Compression.
ICASSP
Xin Xiong, Eduardo Pavez, Antonio Ortega, Balu Adsumilli
2023 J jnl
Two Channel Filter Banks on Arbitrary Graphs With Positive Semi Definite Variation Operators.
IEEE Trans. Signal Process.
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
2022 B conf
Compression of User Generated Content Using Denoised References.
ICIP
Eduardo Pavez, Enrique Perez, Xin Xiong, Antonio Ortega, Balu Adsumilli
2022 J jnl
Compression of user generated content using denoised references.
CoRR
Eduardo Pavez, Enrique Perez, Xin Xiong, Antonio Ortega, Balu Adsumilli
2022 B conf
Fractional Motion Estimation for Point Cloud Compression.
DCC
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
2022 J jnl
Fractional Motion Estimation for Point Cloud Compression.
CoRR
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
2022 Misc conf
Graph-Based Point Cloud Denoising Using Shape-Aware Consistency For Free-Viewpoint Video.
ICASSP
Keisuke Nonaka, Ryosuke Watanabe, Haruhisa Kato, Tatsuya Kobayashi, Eduardo Pavez, Antonio Ortega
2022 B conf
Intra Prediction of Regular and Near-Regular Textures Via Graph-Based Inpainting.
ICIP
Wen-Yang Lu, Eduardo Pavez, Antonio Ortega, Debargha Mukherjee, Onur G. Guleryuz, Keng-Shih Lu
2022 A conf
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency.
AISTATS
Eduardo Pavez
2022 C conf
Motion Estimation And Filtered Prediction For Dynamic Point Cloud Attribute Compression.
PCS
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
2022 J jnl
Motion estimation and filtered prediction for dynamic point cloud attribute compression.
CoRR
Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
2022 Misc conf
Point Cloud Attribute Compression Via Chroma Subsampling.
ICASSP
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka
2022 Misc conf
Point Cloud Denoising Using Normal Vector-Based Graph Wavelet Shrinkage.
ICASSP
Ryosuke Watanabe, Keisuke Nonaka, Haruhisa Kato, Eduardo Pavez, Tatsuya Kobayashi, Antonio Ortega
2021 Misc conf
A Graph Learning Algorithm Based On Gaussian Markov Random Fields And Minimax Concave Penalty.
ICASSP
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
2021 J jnl
Covariance Matrix Estimation With Non Uniform and Data Dependent Missing Observations.
IEEE Trans. Inf. Theory
Eduardo Pavez, Antonio Ortega
2021 B conf
Cylindrical Coordinates for Lidar Point Cloud Compression.
ICIP
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega
2021 J jnl
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency.
CoRR
Eduardo Pavez
2021 J jnl
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields.
CoRR
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega
2021 B conf
Multi-Resolution Intra-Predictive Coding Of 3d Point Cloud Attributes.
ICIP
Eduardo Pavez, André L. Souto, Ricardo L. de Queiroz, Antonio Ortega
2021 J jnl
Multi-resolution intra-predictive coding of 3D point cloud attributes.
CoRR
Eduardo Pavez, André L. Souto, Ricardo L. de Queiroz, Antonio Ortega
2021 Misc conf
Orthogonality and Zero DC Tradeoffs in Biorthogonal Graph Filterbanks.
ICASSP
Dion Eustathios Olivier Tzamarias, Eduardo Pavez, Benjamin Girault, Antonio Ortega, Ian Blanes, Joan Serra-Sagristà
2021 Misc conf
Spectral Folding And Two-Channel Filter-Banks On Arbitrary Graphs.
ICASSP
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
2020 B conf
Region Adaptive Graph Fourier Transform for 3D Point Clouds.
ICIP
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
2020 J jnl
Region adaptive graph fourier transform for 3d point clouds.
CoRR
Eduardo Pavez, Benjamin Girault, Antonio Ortega, Philip A. Chou
2019 Misc conf
An Efficient Algorithm for Graph Laplacian Optimization Based on Effective Resistances.
ACSSC
Eduardo Pavez, Antonio Ortega
2019 J jnl
Graph Learning From Filtered Signals: Graph System and Diffusion Kernel Identification.
IEEE Trans. Signal Inf. Process. over Networks
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
2018 Misc conf
Active Covariance Estimation by Random Sub-Sampling of Variables.
ICASSP
Eduardo Pavez, Antonio Ortega
2018 J jnl
Active covariance estimation by random sub-sampling of variables.
CoRR
Eduardo Pavez, Antonio Ortega
2018 J jnl
Graph Learning from Filtered Signals: Graph System and Diffusion Kernel Identification.
CoRR
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
2018 J jnl
Learning Graphs With Monotone Topology Properties and Multiple Connected Components.
IEEE Trans. Signal Process.
Eduardo Pavez, Hilmi E. Egilmez, Antonio Ortega
2018 — conf
On Learning Laplacians of Tree Structured Graphs.
DSW
Keng-Shih Lu, Eduardo Pavez, Antonio Ortega
2017 Misc conf
Dynamic polygon cloud compression.
ICASSP
Eduardo Pavez, Philip A. Chou
2017 J jnl
Graph Learning From Data Under Laplacian and Structural Constraints.
IEEE J. Sel. Top. Signal Process.
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
2017 — conf
Learning graphs with monotone topology properties.
GlobalSIP
Eduardo Pavez, Hilmi E. Egilmez, Antonio Ortega
2017 B conf
Learning separable transforms by inverse covariance estimation.
ICIP
Eduardo Pavez, Antonio Ortega, Debargha Mukherjee
2016 J jnl
Dynamic Polygon Cloud Compression.
CoRR
Eduardo Pavez, Philip A. Chou, Ricardo L. de Queiroz, Antonio Ortega
2016 Misc conf
Generalized Laplacian precision matrix estimation for graph signal processing.
ICASSP
Eduardo Pavez, Antonio Ortega
2016 J jnl
Graph Learning from Data under Structural and Laplacian Constraints.
CoRR
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
2016 Misc conf
Graph learning with Laplacian constraints: Modeling attractive Gaussian Markov random fields.
ACSSC
Hilmi E. Egilmez, Eduardo Pavez, Antonio Ortega
2015 C conf
GTT: Graph template transforms with applications to image coding.
PCS
Eduardo Pavez, Hilmi E. Egilmez, Yongzhe Wang, Antonio Ortega
2015 — conf
Markov chain sparsification with independent sets for approximate value iteration.
Allerton
Eduardo Pavez, Nicolò Michelusi, Aamir Anis, Urbashi Mitra, Antonio Ortega
2012 J jnl
Analysis and design of Wavelet-Packet Cepstral coefficients for automatic speech recognition.
Speech Commun.
Eduardo Pavez, Jorge F. Silva
2012 — conf
Compressibility of infinite sequences and its interplay with compressed sensing recovery.
APSIPA
Jorge F. Silva, Eduardo Pavez