World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7912
World Ranking
7231
National Ranking
433

Overview

Alexander Belyaev is affiliated with Heriot-Watt University in the United Kingdom. Their research spans multiple domains within computer science and engineering, with a focus on image processing and computational mechanics.

The scientist has contributed to academic literature in the fields of:

  • Computer Science
  • Engineering

The main subfields of study include:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Industrial and Manufacturing Engineering
  • Computer Graphics and Computer-Aided Design
  • Biomedical Engineering

Key research topics covered in their publications are:

  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Image and Signal Denoising Methods
  • Advanced Numerical Analysis Techniques
  • Digital Transformation in Industry
  • Flexible and Reconfigurable Manufacturing Systems
  • 3D Shape Modeling and Analysis

The scientist has published regularly in the following venues:

  • Signal Image and Video Processing
  • Machine Vision and Applications
  • arXiv (Cornell University)
  • Signal Processing Image Communication
  • Signal Processing

Selected recent papers authored or coauthored by Alexander Belyaev include:

  • Black-box image deblurring and defiltering, 2022, Signal Processing Image Communication
  • Two iterative methods for reverse image filtering, 2021, Signal Image and Video Processing

Additional recent papers relevant to their research domain, authored by other researchers but in closely related topics, include:

  • Reverse image filtering with clean and noisy filters, 2022, Signal Image and Video Processing
  • Fast no-reference deep image dehazing, 2024, Machine Vision and Applications
  • Realisierung einer Shared Production, 2023, atp magazin

Belyaev often collaborates with a group of frequent coauthors, including:

  • Pierre-Alain Fayolle
  • Jesko Hermann
  • Magnus Volkmann
  • Christian Diedrich
  • Lizhong Wang

The scientific output of Alexander Belyaev reflects an engagement with advanced image processing methods and numerical techniques relevant to both theoretical and applied aspects of computer vision and engineering processes.

Best Publications

  • Multi-level partition of unity implicits

    Yutaka Ohtake;Alexander Belyaev;Marc Alexa;Greg Turk

  • Ridge-valley lines on meshes via implicit surface fitting

    Yutaka Ohtake;Alexander Belyaev;Hans-Peter Seidel

  • A multi-scale approach to 3D scattered data interpolation with compactly supported basis functions

    Y. Ohtake;A. Belyaev;H.P. Seidel

  • Mesh smoothing via mean and median filtering applied to face normals

    H. Yagou;Y. Ohtake;A. Belyaev

  • Detection of Salient Curvature Features on Polygonal Surfaces

    Kouki Watanabe;Alexander G. Belyaev

  • Fast and robust detection of crest lines on meshes

    Shin Yoshizawa;Alexander Belyaev;Hans-Peter Seidel

  • A Fast and Simple Stretch-Minimizing Mesh Parameterization

    Shin Yoshizawa;Alexander Belyaev;Hans-Peter Seidel

  • Mesh Regularization and Adaptive Smoothing.

    Yutaka Ohtake;Alexander G. Belyaev;Ilia A. Bogaevski

  • Image Compression with Anisotropic Diffusion

    Irena Galić;Joachim Weickert;Martin Welk;Andrés Bruhn

  • Polyhedral surface smoothing with simultaneous mesh regularization

    Y. Ohtake;A.G. Belyaev;I.A. Bogaevski

  • 3D scattered data approximation with adaptive compactly supported radial basis functions

    Y. Ohtake;A. Belyaev;H.-P. Seidel

  • Robust filtering of noisy scattered point data

    Oliver Schall;Alexander Belyaev;Hans-Peter Seidel

  • 3D scattered data interpolation and approximation with multilevel compactly supported RBFs

    Yutaka Ohtake;Alexander Belyaev;Hans-Peter Seidel

  • Feature sensitive mesh segmentation with mean shift

    H. Yamauchi;Seungyong Lee;Yunjin Lee;Y. Ohtake

  • Mesh Smoothing by Adaptive and Anisotropic Gaussian Filter Applied to Mesh Normals.

    Yutaka Ohtake;Alexander G. Belyaev;Hans-Peter Seidel

  • Dual-Primal Mesh Optimization for Polygonized Implicit Surfaces With Sharp Features

    Yutaka Ohtake;Alexander G. Belyaev;Alexander G. Belyaev

  • Free-form skeleton-driven mesh deformations

    Shin Yoshizawa;Alexander G. Belyaev;Hans-Peter Seidel

  • Dual/Primal mesh optimization for polygonized implicit surfaces

    Yutaka Ohtake;Alexander G. Belyaev

  • A comparison of mesh smoothing methods

    Alexander Belyaev;Yutaka Ohtake

  • Proceedings of the fifth Eurographics symposium on Geometry processing

    Alexander Belyaev;Michael Garland

  • Fast and Robust Detection of Crest Lines on Meshes

    Shin Yoshizawa;Alexander Belyaev;Hans-Peter Seidel;Leif Kobbelt

Frequent Co-Authors

Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Tosiyasu L. Kunii
Tosiyasu L. Kunii University of Tokyo
Marc Alexa
Marc Alexa Technical University of Berlin
Andrés Bruhn
Andrés Bruhn University of Stuttgart
Seungyong Lee
Seungyong Lee Pohang University of Science and Technology
Joachim Weickert
Joachim Weickert Saarland University
Heinrich Niemann
Heinrich Niemann University of Erlangen-Nuremberg
Thomas Ertl
Thomas Ertl University of Stuttgart
Alla Sheffer
Alla Sheffer University of British Columbia
Bernd Girod
Bernd Girod Stanford University

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