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Yann Gousseau

Yann Gousseau

D-Index & Metrics

Computer Science

D-Index
38
Citations
5415
World Ranking
10336
National Ranking
250

Overview

Yann Gousseau is affiliated with Télécom ParisTech in France and specializes in Computer Science, with a primary focus on Computer Vision and Pattern Recognition. Their research extends to related subfields including Computer Graphics and Computer-Aided Design, Computational Mechanics, Cognitive Neuroscience, and Industrial and Manufacturing Engineering.

The scientist's work spans several main topics within these domains. These include:

  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image Processing Techniques
  • Computer Graphics and Visualization Techniques
  • Image and Signal Denoising Methods
  • Image Processing and 3D Reconstruction
  • Advanced Image and Video Retrieval Techniques
  • Image Enhancement Techniques

Yann Gousseau has contributed to multiple peer-reviewed papers in recognized publication venues. Notable recent papers include:

  • "Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts," 2021, Computer Vision and Image Understanding
  • "Training CNNs on speckled optical dataset for edge detection in SAR images," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Feature-Style Encoder for Style-Based GAN Inversion," 2022, arXiv (Cornell University)
  • "An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images," 2021, Lecture notes in computer science
  • "Fully synthetic training for image restoration tasks," 2023, Computer Vision and Image Understanding

The scientist's frequent publication venues reflect their research orientation and include:

  • arXiv (Cornell University)
  • Computer Vision and Image Understanding
  • Computer Graphics Forum
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • Lecture notes in computer science

Collaborations are a significant aspect of Yann Gousseau's research. Frequent coauthors include:

  • Saïd Ladjal
  • Alasdair Newson
  • Nicolas Gonthier
  • Raphaël Achddou
  • Nicolas Cherel

The combination of these collaborations, publication venues, and topical focuses provides an overview of an active research career centered on advancing methodologies in image analysis, synthesis, and computer vision techniques.

Best Publications

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

    Flora Dellinger;Julie Delon;Yann Gousseau;Julien Michel

  • Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

    Rodrigo Caye Daudt;Bertr Le Saux;Alexandre Boulch;Yann Gousseau

  • Multitask learning for large-scale semantic change detection

    Rodrigo Caye Daudt;Rodrigo Caye Daudt;Bertrand Le Saux;Alexandre Boulch;Yann Gousseau

  • Video Inpainting of Complex Scenes

    Alasdair Newson;Andrés Almansa;Matthieu Fradet;Yann Gousseau

  • STRUCTURAL HIGH-RESOLUTION SATELLITE IMAGE INDEXING

    Gui-Song Xia;Wen Yang;Julie Delon;Yann Gousseau

  • Random Phase Textures: Theory and Synthesis

    B Galerne;Y Gousseau;J Morel

  • Geometrically Guided Exemplar-Based Inpainting

    Frédéric Cao;Yann Gousseau;Simon Masnou;Patrick Pérez

  • Are Natural Images of Bounded Variation

    Yann Gousseau;Jean-Michel Morel

  • Accurate Junction Detection and Characterization in Natural Images

    Gui-Song Xia;Julie Delon;Yann Gousseau

  • A Statistical Approach to the Matching of Local Features

    J. Rabin;J. Delon;Y. Gousseau

  • Shape-based Invariant Texture Indexing

    Gui-Song Xia;Julie Delon;Yann Gousseau

  • An A Contrario Decision Method for Shape Element Recognition

    Pablo Musé;Frédéric Sur;Frédéric Cao;Yann Gousseau

  • The TVL1 Model: A Geometric Point of View

    Vincent Duval;Jean-François Aujol;Yann Gousseau

  • A Bias-Variance Approach for the Nonlocal Means

    Vincent Duval;Jean-François Aujol;Yann Gousseau

  • Appearance-guided synthesis of element arrangements by example

    T. Hurtut;P.-E. Landes;J. Thollot;Y. Gousseau

  • The Size of Objects in Natural and Artificial Images

    Luis Alvarez;Yann Gousseau;Jean Michel Morel

  • Circular Earth Mover’s Distance for the comparison of local features

    J. Rabin;J. Delon;Y. Gousseau

  • Weakly Supervised Object Detection in Artworks

    Nicolas Gonthier;Yann Gousseau;Said Ladjal;Olivier Bonfait

  • Interpolation of digital elevation models using AMLE and related methods

    A. Almansa;F. Cao;Y. Gousseau;B. Rouge

  • A Latent Transformer for Disentangled Face Editing in Images and Videos

    Xu Yao;Alasdair Newson;Yann Gousseau;Pierre Hellier

  • The dead leaves model: a general tessellation modeling occlusion

    Charles Bordenave;Yann Gousseau;François Roueff

  • The TVL1 model : a geometric point of view Une étude géométrique du modèle TVL1

    Vincent Duval;Jean-François Aujol;Yann Gousseau

Frequent Co-Authors

Jean-François Aujol
Jean-François Aujol University of Bordeaux
Florence Tupin
Florence Tupin Télécom ParisTech
Bin Luo
Bin Luo Anhui University
Jean-Michel Morel
Jean-Michel Morel City University of Hong Kong
Gui-Song Xia
Gui-Song Xia Wuhan University
Gabriel Peyré
Gabriel Peyré École Normale Supérieure
Isabelle Bloch
Isabelle Bloch Télécom ParisTech
Michael Lindenbaum
Michael Lindenbaum Technion – Israel Institute of Technology
Antoni Buades
Antoni Buades Université Paris Cité

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