Yann Gavet

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 10

Top Venues

École nationale supérieure des mines de Saint-Étienne, France (PHD)

Education History

École nationale supérieure des mines de Saint-Étienne, France

PHD

Publications

Abbass Zein-Eddine, Oussama Messai, Abdelouahid Bentamou, Yann Gavet
Enhancing Object Detection in Distorted Environments: A Seamless Integration of Classical Image Processing with Deep Learning Models. ISIVC (2024)
Abdelouahid Bentamou, Yann Gavet
Generating 3D Microstructure Images for O2 Fuel Cell Electrode using GANs Enhanced with Minkowski Functionals. ISIVC (2024)
Oussama Messai, Abdelouahid Bentamou, Abbass Zein-Eddine, Yann Gavet
Activating Frequency and ViT for 3D Point Cloud Quality Assessment without Reference. CoRR (2023)
Valentin Penaud-Polge, Yann Gavet
Robustness Study of Edge Segmentation and Completion by CNN Based Method for Tessellation Images. ISIVC (2021)
Nima Hatami, Yann Gavet, Johan Debayle
Bag of recurrence patterns representation for time-series classification. Pattern Anal. Appl. 22 (3) (2019)
Nima Hatami, Yann Gavet, Johan Debayle
Bag of Recurrence Patterns Representation for Time-Series Classification. CoRR (2018)
Hamza Moussaoui, Johan Debayle, Yann Gavet, Gérard Delette, Maxime Hubert, Peter Cloetens, Jérôme Laurencin
3D geometrical characterization and modelling of solid oxide cells electrodes microstructure by image analysis. QCAV (2017)
Nima Hatami, Yann Gavet, Johan Debayle
Classification of Time-Series Images Using Deep Convolutional Neural Networks. CoRR (2017)
Klervi Rannou, Gilles Thuret, Philippe Gain, Jean-Charles Pinoli, Yann Gavet
A novel quantitative methodology for age evaluation of the human corneal endothelium. QCAV (2017)
Nima Hatami, Yann Gavet, Johan Debayle
Classification of time-series images using deep convolutional neural networks. ICMV (2017)
Yann Gavet, Johan Debayle, Jean-Charles Pinoli
The Color Logarithmic Image Processing (CoLIP) Antagonist Space and Chromaticity Diagram. CCIW (2015)
Yann Gavet, Mathieu Fernandes, Johan Debayle, Jean-Charles Pinoli
Dissimilarity criteria and their comparison for quantitative evaluation of image segmentation: application to human retina vessels. Mach. Vis. Appl. 25 (8) (2014)
Yann Gavet, Jean-Charles Pinoli
Comparison and Supervised Learning of Segmentation Methods Dedicated to Specular Microscope Images of Corneal Endothelium. Int. J. Biomed. Imaging 2014 (2014)
Yann Gavet, Ola Suleiman Ahmad, Jean-Charles Pinoli
Integral Geometry of Linearly Combined Gaussian and Student-t, and Skew Student's t Random Fields. GSI (2013)
Yann Gavet, Jean-Charles Pinoli
A Geometric Dissimilarity Criterion Between Jordan Spatial Mosaics. Theoretical Aspects and Application to Segmentation Evaluation. J. Math. Imaging Vis. 42 (1) (2012)
Yann Gavet, Mathieu Fernandes, Jean-Charles Pinoli
Quantitative evaluation of image registration techniques in the case of retinal images. J. Electronic Imaging 21 (2) (2012)
Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli
Robust 3-D reconstruction of surfaces from image focus by local cross-sectional multivariate statistical analyses: Application to human ex vivo corneal endotheliums. Medical Image Anal. 16 (6) (2012)
Helene Gouinaud, Yann Gavet, Johan Debayle, Jean-Charles Pinoli
Color correction in the framework of Color Logarithmic Image Processing. ISPA (2011)
Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli
Robust shape-from-image-focus by 3-D multivariate statistical analyses. ICIP (2011)
Mathieu Fernandes, Yann Gavet, Jean-Charles Pinoli
A Feature-based Dense Local Registration of Pairs of Retinal Images. VISAPP (1) (2009)
Yann Gavet, Jean-Charles Pinoli, Gilles Thuret, Philippe Gain
Human visual perception, gestalt principles and duality region-contour - application to computer image analysis of human cornea endothelium. VISAPP (2) (2007)
Johan Debayle, Yann Gavet, Jean-Charles Pinoli
General Adaptive Neighborhood Image Restoration, Enhancement and Segmentation. ICIAR (1) (2006)

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Publication Activity (10 Years)

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Yann Gavet