World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
25639
World Ranking
1751
National Ranking
891

Electronics and Electrical Engineering

D-Index
68
Citations
24039
World Ranking
991
National Ranking
420

Research.com Recognitions

  • 2007 - IEEE Fellow For contributions to image and video communications

Overview

Antonio Ortega is affiliated with the University of Southern California in the United States. Their research primarily focuses on computer science, with a significant emphasis on artificial intelligence and computer vision and pattern recognition. Ortega's work extends into several interdisciplinary areas including statistical and nonlinear physics, molecular biology, and computational mechanics.

Ortega's research contributions cover a variety of topics, notably:

  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Bayesian Modeling and Causal Inference
  • Advanced Data Compression Techniques
  • Graph Theory and Algorithms
  • Domain Adaptation and Few-Shot Learning
  • Advanced Vision and Imaging

Frequent co-authors in Ortega's publications include:

  • Eduardo Pavéz
  • Sarath Shekkizhar
  • Keisuke Nonaka
  • Carlos Baquero
  • Davide Frey

Their work appears frequently in several publication venues, such as:

  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Signal Processing
  • 2022 IEEE International Conference on Image Processing (ICIP)

Recent papers include:

  • "Sampling Signals on Graphs: From Theory to Applications," 2020, IEEE Signal Processing Magazine
  • "Graph Signal Processing: History, development, impact, and outlook," 2023, IEEE Signal Processing Magazine
  • "Time-Varying Graph Learning with Constraints on Graph Temporal Variation," 2020, arXiv (Cornell University)
  • "Graph-Based Transforms for Video Coding," 2020, IEEE Transactions on Image Processing
  • "Gradient-Weighted Class Activation Mapping for Spatio Temporal Graph Convolutional Network," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

In addition to journal and conference publications, Ortega has contributed to book literature. Notably, they authored "Introduction to Graph Signal Processing," published by Cambridge University Press in 2022.

Their contributions to the field have been recognized through awards, including being named an IEEE Fellow in 2007 for contributions to image and video communications.

Best Publications

  • The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

    David I Shuman;Sunil K. Narang;Pascal Frossard;Antonio Ortega

  • Graph Signal Processing: Overview, Challenges, and Applications

    Antonio Ortega;Pascal Frossard;Jelena Kovacevic;Jose M. F. Moura

  • Rate-distortion methods for image and video compression

    A. Ortega;K. Ramchandran

  • Line-based, reduced memory, wavelet image compression

    C. Chrysafis;A. Ortega

  • Bit allocation for dependent quantization with applications to multiresolution and MPEG video coders

    K. Ramchandran;A. Ortega;M. Vetterli

  • Multiresolution broadcast for digital HDTV using joint source/channel coding

    K. Ramchandran;A. Ortega;K.M. Uz;M. Vetterli

  • Perfect Reconstruction Two-Channel Wavelet Filter Banks for Graph Structured Data

    Sunil K. Narang;A. Ortega

  • Bit-rate control using piecewise approximated rate-distortion characteristics

    Liang-Jin Lin;A. Ortega

  • VBR video: tradeoffs and potentials

    T.V. Lakshman;A. Ortega;A.R. Reibman

  • Graph Learning From Data Under Laplacian and Structural Constraints

    Hilmi E. Egilmez;Eduardo Pavez;Antonio Ortega

  • Efficient Sampling Set Selection for Bandlimited Graph Signals Using Graph Spectral Proxies

    Aamir Anis;Akshay Gadde;Antonio Ortega

  • Optimal trellis-based buffered compression and fast approximations

    A. Ortega;K. Ramchandran;M. Vetterli

  • Rate control for robust video transmission over burst-error wireless channels

    Chi-Yuan Hsu;A. Ortega;M. Khansari

  • PALS: peer-to-peer adaptive layered streaming

    Reza Rejaie;Antonio Ortega

  • Towards the Control of Linear Systems with Minimum Bit-Rate

    João Hespanha;Antonio Ortega;Lavanya Vasudevan

  • Signal processing techniques for interpolation in graph structured data

    Sunil K. Narang;Akshay Gadde;Antonio Ortega

  • Compact Support Biorthogonal Wavelet Filterbanks for Arbitrary Undirected Graphs

    Sunil K. Narang;Antonio Ortega

  • Joint selection of source and channel rate for VBR video transmission under ATM policing constraints

    Chi-Yuan Hsu;A. Ortega;A.R. Reibman

  • Towards a sampling theorem for signals on arbitrary graphs

    Aamir Anis;Akshay Gadde;Antonio Ortega

  • Multiple description coding via polyphase transform and selective quantization

    Wenqing Jiang;Antonio Ortega

Frequent Co-Authors

Gene Cheung
Gene Cheung York University
Ngai-Man Cheung
Ngai-Man Cheung Singapore University of Technology and Design
Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Pascal Frossard
Pascal Frossard École Polytechnique Fédérale de Lausanne
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Anthony Vetro
Anthony Vetro Mitsubishi Electric (United States)
A. Salman Avestimehr
A. Salman Avestimehr University of Southern California
Urbashi Mitra
Urbashi Mitra University of Southern California
Pierre Vandergheynst
Pierre Vandergheynst École Polytechnique Fédérale de Lausanne

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