Kamal Nasreddine

According to our database, Kamal Nasreddine authored at least 28 papers between 2009 and 2023.

Collaborative distances:

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

2023

An efficient anchor-free method for pig detection.

Morann Mattina, Abdesslam Benzinou, Kamal Nasreddine, Francis Richard

IET Image Process., February, 2023

Fuzzy Model for the Automatic Recognition of Human Dendritic Cells.

Marwa Braiki, Kamal Nasreddine, Abdesslam Benzinou, Nolwenn Hymery

J. Imaging, January, 2023

2022

Live Fish Species Classification in Underwater Images by Using Convolutional Neural Networks Based on Incremental Learning with Knowledge Distillation Loss.

Abdelouahid Ben Tamou, Abdesslam Benzinou, Kamal Nasreddine

Mach. Learn. Knowl. Extr., 2022

Targeted Data Augmentation and Hierarchical Classification with Deep Learning for Fish Species Identification in Underwater Images.

Abdelouahid Ben Tamou, Abdesslam Benzinou, Kamal Nasreddine

J. Imaging, 2022

Human Dendritic Cells Classification based on Possibility Theory.

Mouna Zouari Mehdi, Abdesslam Benzinou, Jihen Frikha Elleuch, Kamal Nasreddine, Dhia Ammeri, Dorra Sellami

Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

2021

Multi-stream fish detection in unconstrained underwater videos by the fusion of two convolutional neural network detectors.

Abdelouahid Ben Tamou, Abdesslam Benzinou, Kamal Nasreddine

Appl. Intell., 2021

2020

A robust tangent PCA via shape restoration for shape variability analysis.

Michel Abboud, Abdesslam Benzinou, Kamal Nasreddine

Pattern Anal. Appl., 2020

Automatic Human Dendritic Cells Segmentation Using K-Means Clustering and Chan-Vese Active Contour Model.

Marwa Braiki, Abdesslam Benzinou, Kamal Nasreddine, Nolwenn Hymery

Comput. Methods Programs Biomed., 2020

2019

Shape geodesics for robust sign language recognition.

Kamal Nasreddine, Abdesslam Benzinou

IET Image Process., 2019

2018

Transfer Learning with deep Convolutional Neural Network for Underwater Live Fish Recognition.

Abdelouahid Ben Tamou, Abdesslam Benzinou, Kamal Nasreddine, Lahoucine Ballihi

Proceedings of the IEEE International Conference on Image Processing, 2018

Underwater Live Fish Recognition by Deep Learning.

Abdelouahid Ben Tamou, Abdesslam Benzinou, Kamal Nasreddine, Lahoucine Ballihi

Proceedings of the Image and Signal Processing - 8th International Conference, 2018

Human Dendritic Cells Segmentation Based on K-Means and Active Contour.

Marwa Braiki, Abdesslam Benzinou, Kamal Nasreddine, Aymen Mouelhi, Salam Labidi, Nolwenn Hymery

Proceedings of the Image and Signal Processing - 8th International Conference, 2018

2016

A comparative evaluation of segmentation methods for dendritic cells identification from microscopic images.

Marwa Braiki, Abdesslam Benzinou, Kamal Nasreddine, Salam Labidi

Proceedings of the International Image Processing, Applications and Systems, 2016

Segmentation of dendritic cells from microscopic images using mathematical morphology.

Marwa Braiki, Abdesslam Benzinou, Kamal Nasreddine, Salam Labidi, Nolwenn Hymery

Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

2015

Recognition of shape parts using shape geodesies.

Mayss'aa Merhy, Abdessalam Benzinou, Kamal Nasreddine, Mohamad Khalil, Ghaleb Faour

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

Shape restoration for robust tangent principal component analysis.

Michel Abboud, Abdesslam Benzinou, Kamal Nasreddine, Mustapha Jazar

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

Robust statistical shape analysis based on the tangent shape space.

Michel Abboud, Abdessalam Benzinou, Kamal Nasreddine, Mustapha Jazar

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

Shape-based fish recognition via shape space.

Kamal Nasreddine, Abdessalam Benzinou

Proceedings of the 23rd European Signal Processing Conference, 2015

Parts-based shape recognition via shape geodesics.

Mayss'aa Merhy, Abdessalam Benzinou, Kamal Nasreddine, Mohamad Khalil, Ghaleb Faour

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Otolith shape classification for fish stock discrimination.

Jose Antonio Soria, Kamal Nasreddine, Vicenç Parisi Baradad, Lluís Ferrer-Arnau, Abdesslam Benzinou

Proceedings of the International Image Processing, 2014

A comparative study between Elliptic Fourier and B-spline descriptors for object contour representation.

Lluís Ferrer-Arnau, Vicenç Parisi Baradad, Jose Antonio Soria, Kamal Nasreddine, Abdesslam Benzinou

Proceedings of the International Image Processing, 2014

An optimal elastic partial shape matching via shape geodesics.

Mayss'aa Merhy, Abdessalam Benzinou, Kamal Nasreddine, Mohamad Khalil, Ghaleb Faour

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Geodesics-based statistical shape analysis.

Michel Abboud, Abdessalam Benzinou, Kamal Nasreddine, Mustapha Jazar

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Geodesics-Based Image Registration: Applications To Biological And Medical Images Depicting Concentric Ring Patterns.

Kamal Nasreddine, Abdessalam Benzinou, Ronan Fablet

IEEE Trans. Image Process., 2013

2010

Recalage de signaux et reconnaissance de formes. Application à l'analyse des otolithes de poissons.

Kamal Nasreddine

PhD thesis, 2010

Variational shape matching for shape classification and retrieval.

Kamal Nasreddine, Abdessalam Benzinou, Ronan Fablet

Pattern Recognit. Lett., 2010

2009

Shape geodesics for boundary-based object recognition and retrieval.

Kamal Nasreddine, Abdessalam Benzinou, Ronan Fablet

Proceedings of the International Conference on Image Processing, 2009

Variational 1D signal registration and shape geodesics for shape classification: Application to marine biological archives.

Kamal Nasreddine, Abdesslam Benzinou, Vicenç Parisi Baradad, Ronan Fablet

Proceedings of the 16th International Conference on Digital Signal Processing, 2009