scispace - formally typeset
A

Abdelmalik Taleb-Ahmed

Researcher at University of Valenciennes and Hainaut-Cambresis

Publications -  252
Citations -  2261

Abdelmalik Taleb-Ahmed is an academic researcher from University of Valenciennes and Hainaut-Cambresis. The author has contributed to research in topics: Computer science & Image segmentation. The author has an hindex of 19, co-authored 222 publications receiving 1515 citations. Previous affiliations of Abdelmalik Taleb-Ahmed include Centre national de la recherche scientifique & University of the Littoral Opal Coast.

Papers
More filters
Journal ArticleDOI

Past, Present, and Future of Face Recognition: A Review

TL;DR: The history of face recognition technology, the current state-of-the-art methodologies, and future directions are presented, specifically on the most recent databases, 2D and 3D face recognition methods.
Proceedings ArticleDOI

A competition on generalized software-based face presentation attack detection in mobile scenarios

TL;DR: This competition is to evaluate and compare the generalization performances of mobile face PAD techniques under some real-world variations, including unseen input sensors, presentation attack instruments (PAI) and illumination conditions, on a larger scale OULU-NPU dataset using its standard evaluation protocols and metrics.
Journal ArticleDOI

Social spiders optimization and flower pollination algorithm for multilevel image thresholding

TL;DR: Experimental results have shown that both SSO and FP algorithms outperform PSO and BAT algorithms while exhibiting equal performance for small numbers of thresholds, suggesting that the SSO algorithm can be effectively considered as an attractive alternative for the multilevel image thresholding problem.
Journal ArticleDOI

QRS complex detection based on multi wavelet packet decomposition

TL;DR: The proposed algorithm consists of a particular combination of two vectors obtained by applying a designed routine of QRS detection process using ‘haar’ and ‘db10’ wavelet functions respectively, which performs good on a partial selected high percentage of the whole database.
Journal ArticleDOI

Deep learning for real-time semantic segmentation: Application in ultrasound imaging

TL;DR: Li et al. as mentioned in this paper proposed a Fully Convolution dense Dilated Network (FCD-DN) to improve the segmentation efficiency while ensuring high accuracy, which integrates the advantages of dense connectivity, dilated convolutions and factorized filters.