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Guillaume Lavoué

Guillaume Lavoué

D-Index & Metrics

Computer Science

D-Index
31
Citations
4545
World Ranking
13587
National Ranking
360

Overview

Guillaume Lavoué is affiliated with École Centrale de Lyon in France and specializes in research at the intersection of computer science and engineering. Their work predominantly explores areas within computer vision, computer graphics, and computational mechanics, contributing to a range of topics related to 3D modeling, image quality assessment, and visualization techniques.

The main fields of study for Lavoué include:

  • Computer Science
  • Engineering

More specifically, their subfields of study cover:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics
  • Atomic and Molecular Physics, and Optics
  • Cognitive Neuroscience

The key research topics Lavoué has addressed encompass:

  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Image and Video Quality Assessment
  • Color Science and Applications
  • Visual Attention and Saliency Detection
  • Medical Image Segmentation Techniques
  • 3D Surveying and Cultural Heritage

Guillaume Lavoué's scholarly output includes numerous recent papers published in notable venues. Selected publications demonstrate their engagement with subjective and objective evaluation methods, deep learning applications, and quality metrics in 3D and virtual reality contexts:

  • "Visual Quality of 3D Meshes With Diffuse Colors in Virtual Reality: Subjective and Objective Evaluation" (2020), IEEE Transactions on Visualization and Computer Graphics
  • "Textured Mesh Quality Assessment: Large-scale Dataset and Deep Learning-based Quality Metric" (2023), ACM Transactions on Graphics
  • "Comparison of Subjective Methods for Quality Assessment of 3D Graphics in Virtual Reality" (2020), ACM Transactions on Applied Perception
  • "Perceptual quality of BRDF approximations: dataset and metrics" (2021), Computer Graphics Forum
  • "Representation learning of 3D meshes using an Autoencoder in the spectral domain" (2022), Computers & Graphics

The venues where Lavoué frequently publishes include:

  • arXiv (Cornell University)
  • Computers & Graphics
  • IEEE Transactions on Visualization and Computer Graphics
  • ACM Transactions on Graphics
  • ACM Transactions on Applied Perception

Among their frequent coauthors are:

  • Florent Dupont
  • Yana Nehmé
  • Patrick Le Callet
  • Jean-Philippe Farrugia
  • Pierre Raimbaud

Best Publications

  • A new CAD mesh segmentation method, based on curvature tensor analysis

    Guillaume Lavoué;Florent Dupont;Atilla Baskurt

  • 3D Mesh Compression: Survey, Comparisons, and Emerging Trends

    Adrien Maglo;Guillaume Lavoué;Florent Dupont;Céline Hudelot

  • A comparison of methods for non-rigid 3D shape retrieval

    Zhouhui Lian;Afzal Godil;Benjamin Bustos;Mohamed Daoudi

  • PCQM: A Full-Reference Quality Metric for Colored 3D Point Clouds

    Gabriel Meynet;Yana Nehme;Julie Digne;Guillaume Lavoue

  • A Multiscale Metric for 3D Mesh Visual Quality Assessment

    Guillaume Lavoué

  • Perceptually driven 3D distance metrics with application to watermarking

    Guillaume Lavoué;Elisa Drelie Gelasca;Florent Dupont;Atilla Baskurt

  • A Comprehensive Survey on Three-Dimensional Mesh Watermarking

    Kai Wang;G. Lavoue;F. Denis;A. Baskurt

  • SHREC'11 track: shape retrieval on non-rigid 3D watertight meshes

    Z. Lian;A. Godil;B. Bustos;M. Daoudi

  • Perceptual metrics for static and dynamic triangle meshes

    Massimiliano Corsini;Mohamed-Chaker Larabi;Guillaume Lavoué;Oldrich Petrík

  • Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts

    M. Keuper;E. Levinkov;N. Bonneel;G. Lavoue

  • A local roughness measure for 3D meshes and its application to visual masking

    Guillaume Lavoué

  • Combination of bag-of-words descriptors for robust partial shape retrieval

    Guillaume Lavoué

  • Improving Zernike Moments Comparison for Optimal Similarity and Rotation Angle Retrieval

    J. Revaud;G. Lavoue;A. Baskurt

  • Factors to Consider for Tailored Gamification

    Stuart Hallifax;Audrey Serna;Jean-Charles Marty;Guillaume Lavoué

  • A Comparison of Perceptually-Based Metrics for Objective Evaluation of Geometry Processing

    Guillaume Lavoué;Massimiliano Corsini

  • Learning Boundary Edges for 3D-Mesh Segmentation

    Halim Benhabiles;Guillaume Lavoué;Jean-Philippe Vandeborre;Mohamed Daoudi

  • Technical Section: Robust and blind mesh watermarking based on volume moments

    Kai Wang;Guillaume Lavoué;Florence Denis;Atilla Baskurt

  • PC-MSDM: A quality metric for 3D point clouds

    Gabriel Meynet;Julie Digne;Guillaume Lavoue

  • A Benchmark for 3D Mesh Watermarking

    Kai Wang;Guillaume Lavoué;Florence Denis;Atilla Baskurt

  • Streaming compressed 3D data on the web using JavaScript and WebGL

    Guillaume Lavoué;Laurent Chevalier;Florent Dupont

  • Bag of words and local spectral descriptor for 3D partial shape retrieval

    Guillaume Lavoué

Frequent Co-Authors

Mohamed Daoudi
Mohamed Daoudi IMT Nord Europe
Christian Wolf
Christian Wolf Institut National des Sciences Appliquées de Lyon
Anup Basu
Anup Basu University of Alberta
Martin Reuter
Martin Reuter University of Bonn
Ioannis Pratikakis
Ioannis Pratikakis Democritus University of Thrace
Thomas Brox
Thomas Brox University of Freiburg
Fatih Porikli
Fatih Porikli Australian National University
Remco C. Veltkamp
Remco C. Veltkamp Utrecht University
Ryutarou Ohbuchi
Ryutarou Ohbuchi University of Yamanashi

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