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Computer Science
Portugal
2025

Research.com Recognitions

  • 2025 - Research.com Computer Science in Portugal Leader Award

Overview

Fernando Pereira is affiliated with Instituto Superior Técnico in Portugal and has contributed extensively to the fields of computer science and engineering, with a strong focus on computer vision, computational mechanics, and computer graphics. Their research spans multiple interdisciplinary areas, including 3D shape modeling and analysis, advanced imaging techniques, and remote sensing applications.

The primary fields of study covered by Pereira's work are:

  • Computer Science
  • Engineering

Within these areas, their research includes subfields such as:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Geology
  • Environmental Engineering

The topics most frequently addressed in Pereira's publications include:

  • 3D Shape Modeling and Analysis
  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Surveying and Cultural Heritage
  • Remote Sensing and LiDAR Applications
  • Video Coding and Compression Technologies
  • Advanced Image and Video Retrieval Techniques

Fernando Pereira's recent papers, illustrating their contributions to multimedia and signal processing, are:

  • Point Cloud Rendering After Coding: Impacts on Subjective and Objective Quality, 2020, IEEE Transactions on Multimedia
  • Adaptive Deep Learning-Based Point Cloud Geometry Coding, 2020, IEEE Journal of Selected Topics in Signal Processing
  • Mahalanobis Based Point to Distribution Metric for Point Cloud Geometry Quality Evaluation, 2020, IEEE Signal Processing Letters
  • Lenslet Light Field Image Coding: Classifying, Reviewing and Evaluating, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Joint Geometry and Color Projection-Based Point Cloud Quality Metric, 2022, IEEE Access

Frequent coauthors collaborate with Pereira on multiple projects, indicating sustained research partnerships. These include:

  • André F. R. Guarda
  • Nuno M. M. Rodrigues
  • João Ascenso
  • Ahmed H. Tewfik
  • Athina P. Petropulu

Pereira's research has appeared in a range of publication venues, demonstrating engagement with both journals and conference proceedings. The venues with the highest number of publications include:

  • IEEE Journal of Selected Topics in Signal Processing
  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Multimedia
  • Proceedings of the 26th International Congress of Mechanical Engineering

Best Publications

  • A theory of learning from different domains

    Shai Ben-David;John Blitzer;Koby Crammer;Alex Kulesza

  • The Unreasonable Effectiveness of Data

    A. Halevy;P. Norvig;F. Pereira

  • Shallow parsing with conditional random fields

    Fei Sha;Fernando Pereira

  • Domain Adaptation with Structural Correspondence Learning

    John Blitzer;Ryan McDonald;Fernando Pereira

  • DISTRIBUTIONAL CLUSTERING OF ENGLISH WORDS

    Fernando Pereira;Naftali Tishby;Lillian Lee

  • Video coding with H.264/AVC: tools, performance, and complexity

    J. Ostermann;J. Bormans;P. List;D. Marpe

  • Weighted finite-state transducers in speech recognition

    Mehryar Mohri;Fernando Pereira;Michael Riley

  • Non-Projective Dependency Parsing using Spanning Tree Algorithms

    Ryan McDonald;Fernando Pereira;Kiril Ribarov;Jan Hajic

  • Online Large-Margin Training of Dependency Parsers

    Ryan McDonald;Koby Crammer;Fernando Pereira

  • Qualinet White Paper on Definitions of Quality of Experience

    Kjell Brunnström;Sergio Ariel Beker;Katrien de Moor;Ann Dooms

  • The MPEG-4 Book

    Fernando C. Pereira;Touradj Ebrahimi

  • INSIDE-OUTSIDE REESTIMATION FROM PARTIALLY BRACKETED CORPORA

    Fernando Pereira;Yves Schabes

  • IMPROVING FRAME INTERPOLATION WITH SPATIAL MOTION SMOOTHING FOR PIXEL DOMAIN DISTRIBUTED VIDEO CODING

    João Ascenso;Catarina Brites;Fernando Pereira

  • Confidence-weighted linear classification

    Mark Dredze;Koby Crammer;Fernando Pereira

  • MPEG-7: the generic multimedia content description standard, part 1

    J.M. Martinez;R. Koenen;F. Pereira

  • Prolog - the language and its implementation compared with Lisp

    David H D Warren;Luis M. Pereira;Fernando Pereira

  • Speech Recognition with Weighted Finite-State Transducers

    Mehryar Mohri;Fernando C. N. Pereira;Michael Riley

  • Multilingual Dependency Analysis with a Two-Stage Discriminative Parser

    Ryan McDonald;Kevin Lerman;Fernando Pereira

  • Correlation Noise Modeling for Efficient Pixel and Transform Domain Wyner–Ziv Video Coding

    C. Brites;F. Pereira

  • MPEG-21: goals and achievements

    I. Burnett;R. Van de Walle;K. Hill;J. Bormans

  • Improving Transform Domain Wyner-Ziv Video Coding Performance

    C. Brites;J. Ascenso;F. Pereira

  • Content Adaptive Wyner-ZIV Video Coding Driven by Motion Activity

    J. Ascenso;C. Brites;F. Pereira

  • The MPEG-21 Book

    Ian S. Burnett;Fernando Pereira;Rik Van de Walle;Rob Koenen

  • Universal multimedia experiences for tomorrow

    F. Pereira;I. Burnett

  • Distributed Monoview and Multiview Video Coding

    C. Guillemot;F. Pereira;L. Torres;T. Ebrahimi

  • JPEG Pleno: Toward an Efficient Representation of Visual Reality

    Touradj Ebrahimi;Siegfried Foessel;Fernando Pereira;Peter Schelkens

  • Motion compensated refinement for low complexity pixel based distributed video coding

    J. Ascenso;C. Brites;F. Pereira

  • Encoder Rate Control for Transform Domain Wyner-Ziv Video Coding

    C. Brites;F. Pereira

  • Objective evaluation of video segmentation quality

    P.L. Correia;F. Pereira

  • MPEG-4: Context and objectives

    Rob Koenen;Fernando Pereira;Leonardo Chiariglione

  • MPEG-4 facial animation technology: survey, implementation, and results

    G.A. Abrantes;F. Pereira

  • Refining Side Information for Improved Transform Domain Wyner-Ziv Video Coding

    R. Martins;C. Brites;J. Ascenso;F. Pereira

  • Distributed video coding: Selecting the most promising application scenarios

    Fernando Pereira;Luis Torres;Christine Guillemot;Touradj Ebrahimi

  • Studying Temporal Correlation Noise Modeling for Pixel Based Wyner-Ziv Video Coding

    Catarina Brites;Joao Ascenso;Fernando Pereira

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