Publications

You can also find my papers on Google Scholar, and arxiv

Submitted

Journal

• Pavez, Eduardo, Benjamin Girault, Antonio Ortega, Philip A. Chou.
  Two Channel Filter Banks on Arbitrary Graphs with Positive Semi Definite Variation Operators,
  IEEE Transactions on Signal Processing, 2023
  arxiv preprint, longer version of 2021 ICASSP paper, code

• Koyakumaru, Tatsuya, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega.
  Learning sparse graph with minimax concave penalty under Gaussian Markov random fields
  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2022)
  arxiv preprint

• Pavez, Eduardo, and Antonio Ortega.
  Covariance Matrix Estimation with Non Uniform and Data Dependent Missing Observations,
  IEEE Transactions on Information Theory, vol. 67, no. 2, pp. 1201-1215, Feb. 2021.
  arxiv preprint

• Egilmez, Hilmi E., Eduardo Pavez, and Antonio Ortega.
  Graph learning from filtered signals: Graph system and diffusion kernel identification
  IEEE Transactions on Signal and Information Processing over Networks 5.2 (2018): 360-374.
  arxiv preprint code

• Pavez, Eduardo, Philip A. Chou, Ricardo L. De Queiroz, and Antonio Ortega.
  Dynamic polygon clouds: Representation and compression for VR/AR
  APSIPA Transactions on Signal and Information Processing 7 (2018), (open access).

• Pavez, Eduardo, Hilmi E. Egilmez, and Antonio Ortega.
  Learning graphs with monotone topology properties and multiple connected components
  IEEE Transactions on Signal Processing 66.9 (2018): 2399-2413.
  arxiv preprint code

• Egilmez, Hilmi E., Eduardo Pavez, and Antonio Ortega.
  Graph learning from data under Laplacian and structural constraints
  IEEE Journal of Selected Topics in Signal Processing 11.6 (2017)
  arxiv preprint code

• Pavez, Eduardo, and Jorge F. Silva.
  Analysis and design of wavelet-packet cepstral coefficients for automatic speech recognition
  Speech Communication 54.6 (2012): 814-835.

Conference

• Menduina, S. F., Pavez, E., Ortega, A.
  Fast DCT+: A Family of Fast Transforms Based on Rank-One Updates of the Path Graph
  2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• Pakiyarajah, D., Pavez, E., Ortega, A.
  Graph-based Signal Sampling with Adaptive Subspace Reconstruction for Spatially-irregular Sensor Data
  2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• Watanabe, R., Nonaka, K., Pavez, E., Kobayashi, T., Ortega, A.
  No-Reference Point Cloud Quality Assessment Based on Graph Signal Variation
  2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• S.N. Sridhara, E. Pavez, A. Ortega
  Joint graph learning and sampling set selection from data
  2024 Asilomar Conference on Signals, Systems, and Computers (Invited paper)

• V. Faraggi, J. Silva, C. Ramirez, E. Pavez.
  Characterizing Probabilistic Structure in Learning Using Information Sufficiency
  2024 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

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

• S. Fernandez, E. Pavez, A. Ortega.
  Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines
  2024 IEEE International Workshop on Multimedia Signal Processing (MMSP)
  Best paper award

• E. Vasudevan, S.N. Sridhara, E. Pavez, A. Ortega, S. Kalluri, R. Singh.
  Color-Guided Flying Pixel Correction in Depth Images
  2024 IEEE International Workshop on Multimedia Signal Processing (MMSP)

• Watanabe, R, K. Nonaka, E. Pavez, T. Kobayashi, A. Ortega.
  Full-reference Point Cloud Quality assessment Using Spectral Graph Wavelets
  2024 International Conference on Image Processing (ICIP)
  Best paper award

• Lu, W-Y., E. Pavez, A. Ortega, X. Zhao, and S. Liu.
  Adaptive Online Learning of Separable Path Graph Transforms for Intra-prediction
  2024 Picture Coding Symposium (PCS).

• D. Pakiyarajah, E. Pavez, A. Ortega
  Irregularity-aware band-limited approximation for graph signal interpolation
  2024 International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• R. Watanabe, K. Nonaka, E. Pavez, T. Kobayashi, A. Ortega
  Fast graph-based de-noising for point cloud color information
  2024 International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• R. Watanabe, S. N. Sridhara, H. Hong, E. Pavez, A. Ortega
  ICIP 2023 Challenge: Full reference and non-reference point cloud quality assessment methods with support vector regression
  2023 International Conference on Image Processing (ICIP)

• S. Fernandez, E. Pavez, A. Ortega
  Image Coding via Perceptually Inspired Graph Learning
  2023 International Conference on Image Processing (ICIP) arxiv preprint

• B. Girault, E. Pavez, A. Ortega
  Joint Graph and Vertex Importance Learning
  2023 European Signal Processing Conference (EUSIPCO) arxiv preprint

• X. Xiong, E. Pavez, A. Ortega, B. Adsumilli
  Rate-distortion optimization with alternative references for UGC video compression
  2023 International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  arxiv preprint

• R. Watanabe, K. Nonaka, E. Pavez, T. Kobayashi, A. Ortega
  Graph-based point cloud color denoising with 3-dimensional patch-based similarity
  2023 International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• R. Watanabe, K. Nonaka, E. Pavez, T. Kobayashi, A. Ortega
  Graph wavelet-based point cloud geometry denoising with surface-consistent non-negative kernel regression
  2023 International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• Haoran Hong, Eduardo Pavez, Antonio Ortega, Ryosuke Watanabe, Keisuke Nonaka.
  Motion estimation and filtered prediction for dynamic point cloud attribute compression
  2022 Picture Coding Symposium (PCS)
  arxiv preprint

• Pavez, Eduardo, Enrique Perez, Xin Xiong, Antonio Ortega, Balu Adsumilli.
  Compression of user generated content using denoised references
  2022 International Conference on Image Processing (ICIP)
  arxiv preprint video presentation
  Best paper award second runner-up

• W. -Y. Lu, E. Pavez, A. Ortega, D. Mukherjee, O. Guleryuz and K. -S. Lu,
  Intra Prediction of Regular and Near-Regular Textures Via Graph-Based Inpainting
  2022 IEEE International Conference on Image Processing (ICIP)

• E. Pavez.
  Laplacian constrained precision matrix estimation: existence and high dimensional consistency
  2022 International Conference on Artificial Intelligence and Statistics (AISTATS)
  arxiv preprint

• H. Hong,E. Pavez, A. Ortega, R. Watanabe, K. Nonaka
  Fractional motion estimation for point cloud compression
  2022 Data Compression Conference (DCC)
  arxiv preprint

• S. N. Sridhara, E. Pavez, R. Watanabe, K. Nonaka, A. Ortega
  Point cloud attribute compression via chroma subsampling
  2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• R. Watanabe, K. Nonaka, Haruhisa Kato, E. Pavez, T. Kobayashi, A. Ortega
  Point cloud denoising uning normal vector based graph wavelet shrinkage
  2022 International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• K. Nonaka, R. Watanabe, T. Kobayashi, E. Pavez, A. Ortega
  Graph-based point cloud denoising using shape-aware consistency for free-viewpoint video
  2022 International Conference on Acoustics, Speech and Signal Processing (ICASSP)

• E. Pavez, A.L. Souto, R.L. De Queiroz, A. Ortega.
  Multi-resolution intra-predictive coding of 3D point cloud attributes
  2021 IEEE International Conference on Image Processing (ICIP).
  arxiv preprint video presentation

• S. N. Sridhara, E. Pavez, A. Ortega.
  Cylindrical Coordinates for Lidar Point Cloud Compression
  2021 IEEE International Conference on Image Processing (ICIP).
  arxiv preprint video presentation

• Pavez, Eduardo, Benjamin Girault, Antonio Ortega, Philip A. Chou.
  Spectral folding and two-channel filter-banks on arbitrary graphs
  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
  arxiv preprint video presentation

• D.E.O. Tzamarias, E. Pavez, B. Girault, A. Ortega, I. Blanes, J. Serra-Sagrista.
  Exploiting Orthogonality and zero-DC tradeoffs in biorthogonal graph filterbanks
  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

• T. Koyakumaru, M. Yukawa, E. Pavez, A. Ortega.
  A Graph Learning Algorithm Based on Gaussian Markov Random Fields and Minimax Concave Penalty
  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

• Pavez, Eduardo, Benjamin Girault, Antonio Ortega and Philip A. Chou.
  Region Adaptive Graph Fourier Transform for 3D Point Clouds
  2020 IEEE International Conference on Image Processing (ICIP).
  arxiv preprint code video presentation
  Best paper award

• Pavez, Eduardo, and Antonio Ortega.
  An efficient algorithm for graph Laplacian optimization based on effective resistances
  2019 53rd Asilomar Conference on Signals, Systems, and Computers.
  arxiv preprint code

• Lu, Keng-Shih, Eduardo Pavez, and Antonio Ortega.
  On learning laplacians of tree structured graphs
  2018 IEEE Data Science Workshop (DSW).

• Pavez, Eduardo, and Antonio Ortega.
  Active covariance estimation by random sub-sampling of variables
  2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
  arxiv preprint

• Pavez, Eduardo, Hilmi E. Egilmez, and Antonio Ortega.
  Learning graphs with monotone topology properties
  2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

• Pavez, Eduardo, Antonio Ortega, and Debargha Mukherjee.
  Learning separable transforms by inverse covariance estimation
  2017 IEEE International Conference on Image Processing (ICIP).

• Pavez, Eduardo, and Philip A. Chou.
  Dynamic polygon cloud compression
  2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

• Egilmez, Hilmi E., Eduardo Pavez, and Antonio Ortega.
  Graph learning with Laplacian constraints: Modeling attractive Gaussian Markov random fields
  2016 50th Asilomar Conference on Signals, Systems and Computers.

• Pavez, Eduardo, and Antonio Ortega.
  Generalized Laplacian precision matrix estimation for graph signal processing
  2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

• Pavez, Eduardo, Nicolò Michelusi, Aamir Anis, Urbashi Mitra, and Antonio Ortega.
  Markov chain sparsification with independent sets for approximate value iteration
  2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

• Pavez, Eduardo, Hilmi E. Egilmez, Yongzhe Wang, and Antonio Ortega.
  GTT: Graph template transforms with applications to image coding
  2015 Picture Coding Symposium (PCS).
  Runner-up best student paper award

• Silva, Jorge F., and Eduardo Pavez.
  Compressibility of infinite sequences and its interplay with compressed sensing recovery
  2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference.