Publications

You can also find my papers on Google Scholar and arXiv

Preprints

• Ghosh, R., H. Wang, H. Hong, E. Pavez, A. Chaudhuri, W. Pang, H. V. Madhyastha, A. Ortega, R. Govindan.GS-NFS: Bandwidth-adaptive Streaming of Dynamic Gaussian Splats and Point Clouds. preprint

• Hong, H., E. Pavez, A. Ortega, R. Watanabe, K. Nonaka. Motion Estimation Techniques for Volumetric Video Attribute Compression. preprint

• S. N. Sridhara, E. Pavez, A. Jayawant, A. Ortega, R. Watanabe, K. Nonaka. Graph-based Scalable Sampling of 3D Point Cloud Attributes. preprint

• X. Xiong, S. Fernández-Menduina, E. Pavez, A. Ortega, N. Birkbeck, B. Adsumilli. Avoiding Quality Saturation in UGC Compression Using Denoised References. arXiv. preprint

2026

Journals

• Fernandez-Menduiña, Samuel, Eduardo Pavez, Antonio Ortega. Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization. IEEE Transactions on Multimedia, 2026 project website

Conferences

• Fernandez-Menduiña, Samuel, Hyomin Choi, Fabien Racapé, Eduardo Pavez, Antonio Ortega. Wrapper-Aware Rate-Distortion Optimization in Feature Coding for Machines. IEEE ICASSP 2026

• Sridhara, S. N., B. Kathariya, F. Pu, P. Yin, Eduardo Pavez, Antonio Ortega. Region-Adaptive Learned Hierarchical Encoding for 3D Gaussian Splatting Data. DCC 2026

• Fernandez, Samuel, Eduardo Pavez, Antonio Ortega. L2G-NET: Local to Global Spectral Graph Neural Networks via Cauchy Factorizations. ICML 2026 project website
  Spotlight paper

• Xiong, Xin, Samuel Fernandez-Menduiña, Eduardo Pavez, Antonio Ortega, Neil Birkbeck, Balu Adsumilli. Rate-Distortion Optimization for Ensembles of Non-Reference Metrics. IEEE ICIP 2026

• Pakiyarajah, Darukeesan, Samuel Fernandez-Menduiña, Eduardo Pavez, Antonio Ortega, Debargha Mukherjee. FaSST: Fast Sparsifying Secondary Transform IEEE ICIP 2026
  Top 3% paper

• Lu, Wen-Yang, Eduardo Pavez, Antonio Ortega, Roman Chernyak, Shan Liu. Reduced-complexity Adaptive Loop Filtering via Input-dependent Graph Filters. IEEE ICIP 2026
  Top 3% paper

2025

Journals

• S. Fernández-Menduina, E. Pavez, A. Ortega. Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization. IEEE Transactions on Multimedia, 2025

• J. F. Silva, V. Faraggi, C. Ramírez, A. Egaña, E. Pavez. Understanding Encoder–Decoder Structures in Machine Learning Using Information Measures. Signal Processing, 2025

• Watanabe, R., S. N. Sridhara, H. Hong, E. Pavez, K. Nonaka, T. Kobayashi, A. Ortega. Full-reference Point Cloud Quality Assessment Using Support Vector Regression Signal Processing: Image Communication, 2025

Conferences

• S. Fernández-Menduina, E. Pavez, A. Ortega. INT-DTT+: Low-Complexity Data-Dependent Transforms for Video Coding. IEEE PCS 2025
  Best Paper Award – 3rd place

• C. Wang, S. N. Sridhara, E. Pavez, A. Ortega, C. Chang. Adaptive Voxelization for Transform Coding of 3D Gaussian Splatting Data. IEEE ICIP 2025

• S. Fernández-Menduina, X. Xiong, E. Pavez, A. Ortega, N. Birkbeck, B. Adsumilli. Rate-Distortion Optimization with Non-Reference Metrics for UGC Compression. IEEE ICIP 2025

• D. Pakiyarajah, E. Pavez, A. Ortega, D. Mukherjee, O. Guleryuz, W.-Y. Lu, K. K. Sivakumar. Joint Optimization of Primary and Secondary Transforms Using Rate-Distortion Optimized Transform Design. IEEE ICIP 2025
  Spotlight Paper

• S. Fernández-Menduina, E. Pavez, A. Ortega. Fast DCT+: A Family of Fast Transforms Based on Rank-One Updates of the Path Graph. IEEE ICASSP 2025

• D. Pakiyarajah, E. Pavez, A. Ortega. Graph-Based Signal Sampling with Adaptive Subspace Reconstruction. IEEE ICASSP 2025

• R. Watanabe, K. Nonaka, E. Pavez, T. Kobayashi, A. Ortega. No-Reference Point Cloud Quality Assessment Based on Graph Signal Variation. IEEE ICASSP 2025

2024

Conferences

• S. N. Sridhara, E. Pavez, A. Ortega. Joint Graph Learning and Sampling Set Selection from Data. Asilomar 2024 (Invited)

• V. Faraggi, J. Silva, C. Ramírez, E. Pavez. Characterizing Probabilistic Structure in Learning Using Information Sufficiency. IEEE MLSP 2024

• W.-Y. Lu, E. Pavez, A. Ortega, X. Zhao, S. Liu. Online-Learned Graph Transforms for Adaptive Blocksize Intra-Predictive Coding. SPIE 2024

• S. Fernández-Menduina, E. Pavez, A. Ortega. Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines. IEEE MMSP 2024
  Best Paper Award

• E. Vasudevan, S. N. Sridhara, E. Pavez, A. Ortega, S. Kalluri, R. Singh. Color-Guided Flying Pixel Correction in Depth Images. IEEE MMSP 2024

• R. Watanabe, K. Nonaka, E. Pavez, T. Kobayashi, A. Ortega. Full-Reference Point Cloud Quality Assessment Using Spectral Graph Wavelets. IEEE ICIP 2024
  Best Paper Award

• W.-Y. Lu, E. Pavez, A. Ortega, X. Zhao, S. Liu. Adaptive Online Learning of Separable Path Graph Transforms. PCS 2024

• D. Pakiyarajah, E. Pavez, A. Ortega. Irregularity-Aware Band-Limited Approximation for Graph Signal Interpolation. IEEE ICASSP 2024

• R. Watanabe, K. Nonaka, E. Pavez, T. Kobayashi, A. Ortega. Fast Graph-Based Denoising for Point Cloud Color Information. IEEE ICASSP 2024

2023

Journals

• E. Pavez, B. Girault, A. Ortega, P. A. Chou. Two-Channel Filter Banks on Arbitrary Graphs with Positive Semi-Definite Variation Operators. IEEE Transactions on Signal Processing, 2023

Conferences

• R. Watanabe, S. N. Sridhara, H. Hong, E. Pavez, A. Ortega. ICIP 2023 Challenge on Point Cloud Quality Assessment. IEEE ICIP 2023

• S. Fernández-Menduina, E. Pavez, A. Ortega. Image Coding via Perceptually Inspired Graph Learning. IEEE ICIP 2023

• B. Girault, E. Pavez, A. Ortega. Joint Graph and Vertex Importance Learning. EUSIPCO 2023

• X. Xiong, E. Pavez, A. Ortega, B. Adsumilli. Rate-Distortion Optimization for UGC Video Compression. IEEE ICASSP 2023

• R. Watanabe, K. Nonaka, E. Pavez, T. Kobayashi, A. Ortega. Graph-Based Point Cloud Color Denoising. IEEE ICASSP 2023

• R. Watanabe, K. Nonaka, E. Pavez, T. Kobayashi, A. Ortega. Graph Wavelet-Based Geometry Denoising for Point Clouds. IEEE ICASSP 2023
  Top 3% Paper

2022

Journals

• T. Koyakumaru, M. Yukawa, E. Pavez, A. Ortega. Learning Sparse Graphs with Minimax Concave Penalty. IEICE Transactions, 2022

Conferences

• H. Hong, E. Pavez, A. Ortega, R. Watanabe, K. Nonaka. Motion Estimation and Filtered Prediction. PCS 2022

• E. Pavez, E. Perez, X. Xiong, A. Ortega, B. Adsumilli. Compression of User Generated Content Using Denoised References. IEEE ICIP 2022
  Best Paper Award – 2nd Runner-Up

• W.-Y. Lu, E. Pavez, A. Ortega, D. Mukherjee, O. Guleryuz, K.-S. Lu. Intra Prediction via Graph-Based Inpainting. IEEE ICIP 2022

• E. Pavez. Laplacian Constrained Precision Matrix Estimation. AISTATS 2022

• H. Hong, E. Pavez, A. Ortega, R. Watanabe, K. Nonaka. Fractional Motion Estimation. DCC 2022

• S. N. Sridhara, E. Pavez, R. Watanabe, K. Nonaka, A. Ortega. Point Cloud Attribute Compression via Chroma Subsampling. IEEE ICASSP 2022

• R. Watanabe, K. Nonaka, H. Kato, E. Pavez, T. Kobayashi, A. Ortega. Point Cloud Denoising via Graph Wavelets. IEEE ICASSP 2022

• K. Nonaka, R. Watanabe, T. Kobayashi, E. Pavez, A. Ortega. Graph-Based Point Cloud Denoising via Shape Consistency. IEEE ICASSP 2022

2021

Journals

• E. Pavez, A. Ortega. Covariance Matrix Estimation with Non-Uniform and Data-Dependent Missing Observations. IEEE Transactions on Information Theory, 2021

Conferences

• E. Pavez, A. L. Souto, R. L. De Queiroz, A. Ortega. Multi-Resolution Intra-Predictive Coding. IEEE ICIP 2021

• S. N. Sridhara, E. Pavez, A. Ortega. Cylindrical Coordinates for Lidar Point Cloud Compression. IEEE ICIP 2021

• E. Pavez, B. Girault, A. Ortega, P. A. Chou. Spectral Folding and Graph Filter Banks. IEEE ICASSP 2021

• D. E. O. Tzamarias et al. Biorthogonal Graph Filterbanks. IEEE ICASSP 2021

• T. Koyakumaru et al. Graph Learning via MCP. IEEE ICASSP 2021

2020

• E. Pavez, B. Girault, A. Ortega, P. A. Chou. Region Adaptive Graph Fourier Transform for 3D Point Clouds. IEEE ICIP 2020
  Best Paper Award

2019

• E. Pavez, A. Ortega. Efficient Algorithm for Graph Laplacian Optimization. Asilomar 2019 (Invited)

2018

Journals

• E. Pavez, H. E. Egilmez, A. Ortega. Learning Graphs with Monotone Topology Properties and Multiple Connected Components. IEEE Transactions on Signal Processing, 2018
  paper
  preprint

• E. Pavez, P. A. Chou, R. L. De Queiroz, A. Ortega. Dynamic Polygon Clouds: Representation and Compression for VR/AR. APSIPA Transactions, 2018
  paper

Conferences

• K.-S. Lu, E. Pavez, A. Ortega. On Learning Laplacians of Tree Structured Graphs. IEEE DSW 2018
  paper

• E. Pavez, A. Ortega. Active Covariance Estimation by Random Sub-Sampling of Variables. IEEE ICASSP 2018
  paper
  preprint

2017

Journals

• H. E. Egilmez, E. Pavez, A. Ortega. Graph Learning from Data under Laplacian and Structural Constraints. IEEE JSTSP, 2017
  paper
  preprint

Conferences

• E. Pavez, H. E. Egilmez, A. Ortega. Learning Graphs with Monotone Topology Properties. GlobalSIP 2017
  paper

• E. Pavez, A. Ortega, D. Mukherjee. Learning Separable Transforms by Inverse Covariance Estimation. IEEE ICIP 2017
  paper

• E. Pavez, P. A. Chou. Dynamic Polygon Cloud Compression. IEEE ICASSP 2017
  paper

2016

• H. E. Egilmez, E. Pavez, A. Ortega. Graph Learning with Laplacian Constraints. Asilomar 2016
  paper

• E. Pavez, A. Ortega. Generalized Laplacian Precision Matrix Estimation. IEEE ICASSP 2016
  paper

2015

• E. Pavez, N. Michelusi, A. Anis, U. Mitra, A. Ortega. Markov Chain Sparsification with Independent Sets for Approximate Value Iteration. Allerton 2015
  paper

• E. Pavez, H. E. Egilmez, Y. Wang, A. Ortega. GTT: Graph Template Transforms with Applications to Image Coding. PCS 2015
  paper
  Best Student Paper Runner-Up

2012

• J. F. Silva, E. Pavez. Analysis and Design of Wavelet Packet Cepstral Coefficients for Automatic Speech Recognition. Speech Communication, 2012
  paper

• J. F. Silva, E. Pavez. Compressibility of Infinite Sequences and Its Interplay with Compressed Sensing Recovery. APSIPA ASC 2012
  paper