D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 30 Citations 3,651 125 World Ranking 10250 National Ranking 256

Overview

What is he best known for?

The fields of study Yann Gousseau is best known for:

  • Computer vision
  • Algorithm
  • Bounded variation

Yann Gousseau links adjacent fields of study such as Computation and Sketch in the subject of Algorithm. He integrates many fields, such as Computation and Algorithm, in his works. His Paleontology study has been linked to subjects such as Natural (archaeology) and Context (archaeology). His research is interdisciplinary, bridging the disciplines of Paleontology and Context (archaeology). His Image texture study is focused on Texture synthesis and Bidirectional texture function. Bidirectional texture function is frequently linked to Image texture in his study. His study on Statistics is interrelated to topics such as Stochastic process and Scale invariance. Many of his studies on Scale invariance involve topics that are commonly interrelated, such as Statistics. His study brings together the fields of Inpainting and Artificial intelligence.

His most cited work include:

  • SAR-SIFT: A SIFT-Like Algorithm for SAR Images (344 citations)
  • Video Inpainting of Complex Scenes (170 citations)
  • Random Phase Textures: Theory and Synthesis (130 citations)

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

His work often combines Artificial intelligence and Machine learning studies. In his research, Yann Gousseau undertakes multidisciplinary study on Machine learning and Artificial intelligence. While working on this project, Yann Gousseau studies both Computer vision and Computer graphics (images). He integrates several fields in his works, including Computer graphics (images) and Computer vision. His studies link Inpainting with Image (mathematics). Image processing and Image texture are commonly linked in his work. Many of his studies involve connections with topics such as Texture synthesis and Image texture. His research brings together the fields of Image processing and Texture synthesis. Statistics and Algorithm are two areas of study in which he engages in interdisciplinary research.

Yann Gousseau most often published in these fields:

  • Artificial intelligence (89.80%)
  • Computer vision (61.22%)
  • Image (mathematics) (57.14%)

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

SAR-SIFT: A SIFT-LIKE ALGORITHM FOR SAR IMAGES

Flora Dellinger;Julie Delon;Yann Gousseau;Julien Michel.
IEEE Transactions on Geoscience and Remote Sensing (2015)

386 Citations

Video Inpainting of Complex Scenes

Alasdair Newson;Andrés Almansa;Matthieu Fradet;Yann Gousseau.
Siam Journal on Imaging Sciences (2014)

222 Citations

STRUCTURAL HIGH-RESOLUTION SATELLITE IMAGE INDEXING

Gui-Song Xia;Wen Yang;Julie Delon;Yann Gousseau.
ISPRS TC VII Symposium - 100 Years ISPRS (2010)

185 Citations

Random Phase Textures: Theory and Synthesis

B Galerne;Y Gousseau;J Morel.
IEEE Transactions on Image Processing (2011)

184 Citations

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

Rodrigo Caye Daudt;Bertr Le Saux;Alexandre Boulch;Yann Gousseau.
international geoscience and remote sensing symposium (2018)

180 Citations

Geometrically Guided Exemplar-Based Inpainting

Frédéric Cao;Yann Gousseau;Simon Masnou;Patrick Pérez.
Siam Journal on Imaging Sciences (2011)

140 Citations

Are Natural Images of Bounded Variation

Yann Gousseau;Jean-Michel Morel.
Siam Journal on Mathematical Analysis (2001)

134 Citations

Accurate Junction Detection and Characterization in Natural Images

Gui-Song Xia;Julie Delon;Yann Gousseau.
International Journal of Computer Vision (2014)

116 Citations

A Statistical Approach to the Matching of Local Features

J. Rabin;J. Delon;Y. Gousseau.
Siam Journal on Imaging Sciences (2009)

115 Citations

Shape-based Invariant Texture Indexing

Gui-Song Xia;Julie Delon;Yann Gousseau.
International Journal of Computer Vision (2010)

111 Citations

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Best Scientists Citing Yann Gousseau

Gui-Song Xia

Gui-Song Xia

Wuhan University

Publications: 77

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 67

Xiao Xiang Zhu

Xiao Xiang Zhu

Technical University of Munich

Publications: 23

Wen Yang

Wen Yang

Beijing Institute of Technology

Publications: 21

Gabriel Peyré

Gabriel Peyré

École Normale Supérieure

Publications: 21

Jean-François Aujol

Jean-François Aujol

University of Bordeaux

Publications: 20

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 17

Yanfei Zhong

Yanfei Zhong

Wuhan University

Publications: 16

Vicent Caselles

Vicent Caselles

University of Valencia

Publications: 15

Ugo Boscain

Ugo Boscain

Sorbonne University

Publications: 13

Bin Luo

Bin Luo

Anhui University

Publications: 12

Guillermo Sapiro

Guillermo Sapiro

Duke University

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Carola-Bibiane Schönlieb

Carola-Bibiane Schönlieb

University of Cambridge

Publications: 10

Luminita A. Vese

Luminita A. Vese

University of California, Los Angeles

Publications: 10

Xiang Bai

Xiang Bai

Huazhong University of Science and Technology

Publications: 10

Lorenzo Bruzzone

Lorenzo Bruzzone

University of Trento

Publications: 10

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