Xavier Desquesnes

Orcid: 0000-0001-8910-9923

According to our database1, Xavier Desquesnes authored at least 23 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2022
Transformers with YOLO Network for Damage Detection in Limestone Wall Images.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Intelligent Video Surveillance for Animal Behavior Monitoring.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2020
Stone-by-Stone Segmentation for Monitoring Large Historical Monuments Using Deep Neural Networks.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Local Binary Pattern Based Graph Construction for Hyperspectral Image Segmentation.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

2018
Influence of Spectral Metrics on the Graph-Based Segmentation of Hyperspectral Images.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018

2017
Nonmonotonic Front Propagation on Weighted Graphs With Applications in Image Processing and High-Dimensional Data Classification.
IEEE J. Sel. Top. Signal Process., 2017

2016
A Unified Geometric Model for Virtual Slide Image Processing and Classification.
IEEE J. Sel. Top. Signal Process., 2016

Feature Selection for Emotion Recognition based on Random Forest.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

A Multiphase Level Set Method on Graphs for Hyperspectral Image Segmentation.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016

2015
Various Fusion Schemes to Recognize Simulated and Spontaneous Emotions.
Proceedings of the VISAPP 2015, 2015

Random forest-based feature selection for emotion recognition.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015

2014
Mean curvature flow on graphs for image and manifold restoration and enhancement.
Signal Process., 2014

Infinity Laplacian on graphs with gradient terms for image and data clustering.
Pattern Recognit. Lett., 2014

Nonlocal infinity Laplacian equation on graphs with applications in image processing and machine learning.
Math. Comput. Simul., 2014

2013
Eikonal Equation Adaptation on Weighted Graphs: Fast Geometric Diffusion Process for Local and Non-local Image and Data Processing.
J. Math. Imaging Vis., 2013

A Unified Geometric Model for Virtual Slide Images Processing.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

PDES Level Set on Weighted Graphs and Applications for Images, Manifold and Point Clouds Processing.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012
Propagation de fronts et p-laplacien normalisé sur graphes : algorithmes et applications au traitement d'images et de données. (Fronts propagation and normalized p-laplacien on graphs : Algorithms and applications to images and data processing).
PhD thesis, 2012

Non-Local Morphological PDEs and p-Laplacian Equation on Graphs With Applications in Image Processing and Machine Learning.
IEEE J. Sel. Top. Signal Process., 2012

PdEs-based morphology on graphs for cytological slides segmentation and clustering.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Fast 3D Surface Reconstruction from Point Clouds Using Graph-Based Fronts Propagation.
Proceedings of the Computer Vision, 2012

2011
PDEs level sets on weighted graphs.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Efficient Algorithms for Image and High Dimensional Data Processing Using Eikonal Equation on Graphs.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010


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