Matei Mancaş

University of Mons — Belgium

Computer Science · Physical Sciences

17h-index1.5kcitations137works0.32yr avg
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Research Topics

Visual Attention and Saliency Detection(56), Gaze Tracking and Assistive Technology(25), Advanced Image and Video Retrieval Techniques(21), Video Surveillance and Tracking Methods(15), Image and Video Quality Assessment(15)

Publications137 total

Multivariable Serum Creatinine Forecasting for Acute Kidney Injury Detection Using an Explainable Transformer-based Model
2025
Evaluating the Performance of LLMs in ICF Classification: Insights from Medical and General Models <sup>*</sup>
2025
When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
When Algorithms Play Favorites: Lookism in the Generation and Perception of Faces
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
Found in Translation: semantic approaches for enhancing AI interpretability in face verification
arXiv (Cornell University)·2025· 1 citedOpen Access
Study of Parameters Affecting Visual Saliency Assessment
2025
Attention, Multimodality, and Datasets for Validation
2025
Metrics for Saliency Models Validation
2025
The Future of Attention Models: Convergence of Deep Learning with Artificial and Human Attention
2025Open Access
Why Do Computers Need Attention?
2025
Modeling Attention in Engineering
2025
What Is Attention?
2025· 1 cited
How to Measure Attention?
2025
CIA: Controllable Image Augmentation Framework Based on Stable Diffusion
2024· 3 citedOpen Access
Bridging Human Concepts and Computer Vision for Explainable Face Verification
arXiv (Cornell University)·2024Open Access
ActioNet: A Lightweight Architecture for Efficient Action Recognition
2023
Feedback Driven Multi Stereo Vision System for Real-Time Event Analysis
2023· 1 citedOpen Access
Designing an Assistance Tool for Analyzing and Modeling Trainer Activity in Professional Training Through Simulation
2023· 1 cited
Enhancing VR Gaming Experience using Computational Attention Models and Eye-Tracking
2023· 4 citedOpen Access
A Review and Comparative Study of Explainable Deep Learning Models Applied on Action Recognition in Real Time
Electronics·2023· 21 citedOpen Access
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Frequent Co-authors

Bernard Gosselin(28), Nicolas Riche(13), Thierry Dutoit(7), Benoît Macq(4), Marius Preda(4), François Rocca(3), Vincent P. Ferrera(3), Nathan Hubens(3), Titus Zaharia(3), Alexandre Milisavljevic(3), Karine Doré-Mazars(3), Phutphalla Kong(3), Matthieu Duvinage(2), Benoı̂t Macq(2), Olivier Le Meur(2), Céline Mancas-Thillou(2), Radu-Daniel Vatavu(2), John G. Taylor(2), Marc Décombas(2), Thomas Le Bras(2)