Jean-Baptiste Courbot

According to our database, Jean-Baptiste Courbot authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Sparse Off-the-Grid Computation of the Zeros of STFT.

Jean-Baptiste Courbot, Ali Moukadem, Bruno Colicchio, Alain Dieterlen

IEEE Signal Process. Lett., 2023

2022

Transformed Gaussian Random Fields for Unsupervised Image Deconvolution.

Jean-Baptiste Courbot, Bruno Colicchio

IEEE Signal Process. Lett., 2022

Analysis of Diurnal Evolution of Cloud Properties and Convection Tracking over the South China Coastal Area.

Xinyue Wang, Hironobu Iwabuchi, Jean-Baptiste Courbot

Remote. Sens., 2022

sEMG time-frequency features for hand movements classification.

Somar Karheily, Ali Moukadem, Jean-Baptiste Courbot, Djaffar Ould Abdeslam

Expert Syst. Appl., 2022

sEMG feature extraction using Generalized Discrete Orthonormal Stockwell Transform and Modified Multi-Dimensional Scaling.

Somar Karheily, Ali Moukadem, Jean-Baptiste Courbot, Djaffar Ould Abdeslam

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Unsupervised image segmentation with Gaussian Pairwise Markov Fields.

Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet

Comput. Stat. Data Anal., 2021

Unsupervised Image Segmentation with Spatial Triplet Markov Trees.

Hugo Gangloff, Jean-Baptiste Courbot, Emmanuel Monfrini, Christophe Collet

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Sparse analysis for mesoscale convective systems tracking.

Jean-Baptiste Courbot, Vincent Duval, Bernard Legras

Signal Process. Image Commun., 2020

Boosting the Sliding Frank-Wolfe solver for 3D deconvolution.

Jean-Baptiste Courbot, Bruno Colicchio

CoRR, 2020

Pairwise and Hidden Markov Random Fields in Image Segmentation.

Jean-Baptiste Courbot, Vincent Mazet

Proceedings of the 28th European Signal Processing Conference, 2020

Time-frequency Features for sEMG Signals Classification.

Somar Karheily, Ali Moukadem, Jean-Baptiste Courbot, Djaffar Ould Abdeslam

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

Pairwise Markov fields for segmentation in astronomical hyperspectral images.

Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet

Signal Process., 2019

2018

Oriented Triplet Markov Fields.

Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet

Pattern Recognit. Lett., 2018

Triplet Markov Trees for Image Segmentation.

Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017

Traitement statistique d'images hyperspectrales pour la détection d'objets diffus : application aux données astronomiques du spectro-imageur MUSE. (Statistical hyperspectral image processing for diffuse object detection : application to the astronomical images from the spectro-imager MUSE).

Jean-Baptiste Courbot

PhD thesis, 2017

Extended faint source detection in astronomical hyperspectral images.

Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet

Signal Process., 2017

2016

Oriented Triplet Markov fields for hyperspectral image segmentation.

Jean-Baptiste Courbot, Emmanuel Monfrini, Vincent Mazet, Christophe Collet

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Detection of faint extended sources in hyperspectral data and application to HDF-S MUSE observations.

Jean-Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

2-Step robust vertebra segmentation.

Jean-Baptiste Courbot, Edmond Rust, Emmanuel Monfrini, Christophe Collet

Proceedings of the 2015 International Conference on Image Processing Theory, 2015