D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 36 Citations 8,356 112 World Ranking 5623 National Ranking 133

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Geometry

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Pattern recognition, Visual hull and 3D reconstruction. As part of his studies on Artificial intelligence, Edmond Boyer often connects relevant subjects like Polygon mesh. His research integrates issues of Computational geometry and Robustness in his study of Computer vision.

His work on Hidden Markov model and Feature detection as part of his general Pattern recognition study is frequently connected to Novelty, thereby bridging the divide between different branches of science. As a part of the same scientific family, Edmond Boyer mostly works in the field of Visual hull, focusing on Surface and, on occasion, Polyhedron, Topology, Topology and Parametrization. His Motion estimation research is multidisciplinary, relying on both Variety, Gesture and Cinematography.

His most cited work include:

  • A survey of vision-based methods for action representation, segmentation and recognition (770 citations)
  • Free viewpoint action recognition using motion history volumes (746 citations)
  • Action Recognition from Arbitrary Views using 3D Exemplars (403 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Segmentation are his primary areas of study. His study in Polygon mesh extends to Artificial intelligence with its themes. In his research on the topic of Computer vision, Motion and Polyhedron is strongly related with Surface.

His Pattern recognition research is multidisciplinary, incorporating elements of Ground truth and Image. He combines subjects such as Discrete mathematics, Point cloud, Point and Representation with his study of Algorithm. Edmond Boyer has researched Segmentation in several fields, including Multiple view and Cluster analysis.

He most often published in these fields:

  • Artificial intelligence (78.15%)
  • Computer vision (62.18%)
  • Pattern recognition (18.49%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (78.15%)
  • Algorithm (15.13%)
  • Representation (7.56%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Artificial intelligence, Algorithm, Representation, Pattern recognition and Point cloud. His studies in Artificial intelligence integrate themes in fields like Machine learning and Computer vision. His research on Computer vision frequently connects to adjacent areas such as Solid modeling.

His Algorithm study combines topics in areas such as Polygon mesh, Isomorphism, Vertex, Graph and Eigenvalues and eigenvectors. His Pattern recognition research includes elements of Random forest, Overfitting and Voxel. His work is dedicated to discovering how Point cloud, Inference are connected with Focus, Probabilistic logic and 3D reconstruction and other disciplines.

Between 2017 and 2021, his most popular works were:

  • FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis (157 citations)
  • Automatic Camera Calibration Using Multiple Sets of Pairwise Correspondences (12 citations)
  • Spatiotemporal Modeling for Efficient Registration of Dynamic 3D Faces (8 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Machine learning and Identity. In most of his Artificial intelligence studies, his work intersects topics such as Data modeling. He interconnects Solid modeling, Facial recognition system, Face registration, Face analysis and Image registration in the investigation of issues within Data modeling.

His biological study spans a wide range of topics, including Generator, Expression and Face. Edmond Boyer has researched Overfitting in several fields, including Voxel and Robustness. Edmond Boyer has included themes like Convolution and Convolutional neural network in his Polygon mesh study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A survey of vision-based methods for action representation, segmentation and recognition

Daniel Weinland;Remi Ronfard;Edmond Boyer.
Computer Vision and Image Understanding (2011)

1150 Citations

Free viewpoint action recognition using motion history volumes

Daniel Weinland;Remi Ronfard;Edmond Boyer.
Computer Vision and Image Understanding (2006)

1075 Citations

Action Recognition from Arbitrary Views using 3D Exemplars

D. Weinland;E. Boyer;R. Ronfard.
international conference on computer vision (2007)

572 Citations

Surface feature detection and description with applications to mesh matching

Andrei Zaharescu;Edmond Boyer;Kiran Varanasi;Radu Horaud.
computer vision and pattern recognition (2009)

531 Citations

Exact Polyhedral Visual Hulls

Jean-Sébastien Franco;Edmond Boyer.
british machine vision conference (2003)

301 Citations

Action recognition using exemplar-based embedding

D. Weinland;E. Boyer.
computer vision and pattern recognition (2008)

264 Citations

Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration

D. Mateus;R. Horaud;D. Knossow;F. Cuzzolin.
computer vision and pattern recognition (2008)

233 Citations

FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis

Nitika Verma;Edmond Boyer;Jakob Verbeek.
computer vision and pattern recognition (2018)

214 Citations

Fusion of multiview silhouette cues using a space occupancy grid

J.-S. Franco;E. Boyer.
international conference on computer vision (2005)

204 Citations

Efficient Polyhedral Modeling from Silhouettes

J.-S. Franco;E. Boyer.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

173 Citations

Best Scientists Citing Edmond Boyer

Adrian Hilton

Adrian Hilton

University of Surrey

Publications: 64

Michael M. Bronstein

Michael M. Bronstein

Imperial College London

Publications: 51

Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

Publications: 50

Alexander M. Bronstein

Alexander M. Bronstein

Technion – Israel Institute of Technology

Publications: 38

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 31

Ron Kimmel

Ron Kimmel

Technion – Israel Institute of Technology

Publications: 30

Mubarak Shah

Mubarak Shah

University of Central Florida

Publications: 27

Takashi Matsuyama

Takashi Matsuyama

Kyoto University

Publications: 26

Qionghai Dai

Qionghai Dai

Tsinghua University

Publications: 25

Jean Ponce

Jean Ponce

École Normale Supérieure

Publications: 23

Ioannis Pitas

Ioannis Pitas

Aristotle University of Thessaloniki

Publications: 22

Daniel Cremers

Daniel Cremers

Technical University of Munich

Publications: 22

Greg Mori

Greg Mori

Simon Fraser University

Publications: 22

Emanuele Rodolà

Emanuele Rodolà

Sapienza University of Rome

Publications: 22

Marc Pollefeys

Marc Pollefeys

ETH Zurich

Publications: 22

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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