Fadi Dornaika

Ikerbasque Research Professor, EHU

Ikerbasque research professor at the Department of Computer Science and Artificial Intelligence, University of the Basque Country

Research line:

Computer vision, image processing, pattern recognition, machine learning

Previous research experience in centres in France, Spain, Sweden, Germany, China, and Canada

Doctor in computer science 1995 from Institut National de Recherche en Informatique et Automatique (INRIA) France

2025

Article / HSMix: Hard and soft mixing data augmentation for medical image segmentation

Information Fusion

Sun, D.; Dornaika, F.; Barrena, N.

Article / Enhancing Generalization and Mitigating Overfitting in Deep Learning for Brain Cancer Diagnosis from MRI

Applied Magnetic Resonance

Abou Ali, M.; Charafeddine, J.; Dornaika, F.; Arganda-Carreras, I.

Article / Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks

Neural Networks

Dornaika, F.; Bi, J.; Charafeddine, J.; Xiao, H.

Article / Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data

Cognitive Computation

Dornaika, F.; Bi, J.; Charafeddine, J.

Article / Heterogeneous Regularization for Fast Rendering Using Deep Spike Neural Network

Vietnam Journal of Computer Science

Constantin, J.; Constantin, I.; Dornaika, F.; Hoang, V.T.

Article / Advanced unsupervised learning: a comprehensive overview of multi-view clustering techniques

Artificial Intelligence Review

Moujahid, A.; Dornaika, F.

Article / CGCN-FMF:1D convolutional neural network based feature fusion and multi graph fusion for semi-supervised learning

Expert Systems with Applications

Peng, G.; Dornaika, F.; Charafeddine, J.

Article / One-phase multi-view clustering with unified graph and data representation convolution

Soft Computing

Dornaika, F.; Charafeddine, J.

Article / PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-Rays and CT Scans via Parallel and Cross-Attended Encoders

IEEE Transactions on Big Data

Slika, B.; Dornaika, F.; Bougourzi, F.; Hammoudi, K.

Article / Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images

IEEE Transactions on Emerging Topics in Computational Intelligence

Slika, B.; Dornaika, F.; Hammoudi, K.

Article / A Computational–Cognitive Model of Audio-Visual Attention in Dynamic Environments

Big Data and Cognitive Computing

Yazdani, H.; Bosaghzadeh, A.; Ebrahimpour, R.; Dornaika, F.

Article / Parallel VMamba and Attention-Based Pneumonia Severity Prediction from CXRs: A Robust Model with Segmented Lung Replacement Augmentation

Diagnostics

Slika, B.; Dornaika, F.; Hammoudi, K.

Article / Metric learning-enhanced semi-supervised Graph Convolutional Network for multi-view learning

Information Fusion

Xiao, H.; Dornaika, F.; Charafeddine, J.; Bi, J.

Article / Towards dynamic self-training for scalable semi-supervised learning on graphs

Neurocomputing

Dornaika, F.; Ibrahim, Z.; Charafeddine, J.; Bosaghzadeh, A.

Article / Linear projection fused graph-based semi-supervised learning on multi-view data

Artificial Intelligence Review

Bi, J.; Dornaika, F.; Charafeddine, J.

Article / Multi-view learning with graph convolution networks adopting diverse graphs and genuine deep feature fusion

Artificial Intelligence Review

Peng, G.; Dornaika, F.; Charafeddine, J.

Article / Hybrid Learning Framework for Explainable Cardiovascular Disease Detection

IEEE Access

Al Gharib, S.; Charafeddine, J.; Dornaika, F.; Haddad, S.

Letter / Unified Multi-view Data Clustering: Simultaneous Learning of Consensus Coefficient Matrix and Similarity Graph

Cognitive Computation

Dornaika, F.; El Hajjar, S.; Charafeddine, J.; Barrena, N.

Letter / Adaptive Unsupervised Graph Convolution Network for Data Clustering with Graph Reconstruction

Cognitive Computation

Jreidy, M.A.; Constantin, J.; Dornaika, F.; Hamad, D.

Letter / Deep Feature Disentanglement for Supervised Contrastive Learning: Application to Image Classification

Cognitive Computation

Dornaika, F.; Wang, B.; Charafeddine, J.

Review / Artificial intelligence in bone metastasis analysis: Current advancements, opportunities and challenges

Computers in Biology and Medicine

Afnouch, M.; Bougourzi, F.; Gaddour, O.; Dornaika, F.; Ahmed, A.T.

Short Survey / A comprehensive review of facial beauty prediction using deep learning techniques

Engineering Applications of Artificial Intelligence

Boukhari, D.E.; Dornaika, F.; Chemsa, A.; Taleb-Ahmed, A.

2024

Chapter / Clustering with adaptive unsupervised Graph Convolution Network

Advances in Data Clustering: Theory and Applications

Al Jreidy, M.; Constantin, J.; Dornaika, F; Hamad, D.

Chapter / Graph-based semi-supervised learning for multi-view data analysis

Advances in Data Clustering: Theory and Applications

Ziraki, N., Dornaika, F.; Bosaghzadeh, A.; Barrena, N.

Chapter / Auto-weighted multi-view clustering with unified binary representation and deep initialization

Advances in Data Clustering: Theory and Applications

Houfar, K.; Dornaika, F.; Samai, D.; Benlamoudi, A.; Khalid, B.; Taleb-Ahmed, A.

Chapter / Multi-view data clustering through consensus graph and data representation learning

Advances in Data Clustering: Theory and Applications

Dornaika, F.; El Hajjar, S.

Article / Multi-score prediction for lung Infection severity in chest X-ray images

IEEE Transactions on Emerging Topics in Computational Intelligence

Slika, B.; Dornaika, F.; Hammoudi, K.

Article / Discriminative feature learning through angular margin-based Softmax losses for breast cancer classification

Biophysical Reviews and Letters

Alirezazadeh, P: Dornaika, F. ; Moujahid, A.

Article / Adaptive unsupervised Graph Convolution Network for data clustering with graph reconstruction

Cognitive Computation

Al Jreidy, M.; Constantin, J.; Dornaika, F; Hamad, D.

Article / One-phase Multi-view Clustering with Unified Graph and Data Representation Convolution

Soft Computing

Dornaika, F.; Charafeddine, J.

Article / Sample-weighted fused graph-based semi-supervised learning on multi-view data

Information Fusion

Bi, J.; Dornaika, F.

Article / Overcoming graph topology imbalance for inductive and scalable semi-supervised learning

Applied Soft Computing

Dornaika, F.; Ibrahim, Z.; Bosaghzadeh, A.

Article / LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition

IEEE Transactions on Image Processing

Dornaika, F.; Sun, D.

Article / Data augmentation for deep visual recognition using superpixel based pairwise image fusion

Information Fusion

Sun, D.; Dornaika, F.

Article / Towards a unified framework for graph-based multi-view clustering

Neural Networks

Dornaika, F.; El Hajjar, S.

Article / Recognizing and detecting COVID-19 in chest X-ray images using constrained multi-view spectral clustering

Progress in Artificial Intelligence

El Hajjar, S.; Dornaika, F.; Abdallah, F.

Article / Joint Label Propagation, Graph and Latent Subspace Estimation for Semi-supervised Classification

Cognitive Computation

Dornaika, F.; Baradaaji, A.

Article / Clustering using graph convolution networks

Progress in Artificial Intelligence

Al Jreidy, M.; Constantin, J.; Dornaika, F.; Hamad, D.

Article / An End-to-End Approach for Graph-Based Multi-View Data Clustering

IEEE Transactions on Big Data

Dornaika, F.; El Hajjar, S.

Article / Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering

Engineering Applications of Artificial Intelligence

Dornaika, F.; Hajjar, S.E.; Charafeddine, J.

Article / Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes

Artificial Intelligence Review

Bougourzi, F.; Dornaika, F.; Nakib, A.; Taleb-Ahmed, A.

Article / Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology

ACM Transactions on Knowledge Discovery from Data

Dornaika, F.; Ibrahim, Z.; Bosaghzadeh, A.

Article / Naturalize Revolution: Unprecedented AI-Driven Precision in Skin Cancer Classification Using Deep Learning

Biomedinformatics

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, I.; Ali, H.; Karaouni, M.

Article / COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge

Sensors

Bougourzi, F.; Distante, C.; Dornaika, F.; Taleb-Ahmed, A.; Hadid, A.; Chaudhary, S.; Yang, W.; Qiang, Y.; Anwar, T.; Breaban, M.E.; Hsu, C.C.; Tai, S.C.; Chen, S.N.; Tricarico, D.; Chaudhry, H.A.H.; Fiandrotti, A.; Grangetto, M.; Spatafora, M.A.N.; Ortis, A.; Battiato, S.

Article / Lung pneumonia severity scoring in chest X-ray images using transformers

Medical and Biological Engineering and Computing

Slika, B.; Dornaika, F.; Merdji, H.; Hammoudi, K.

Article / Environmental Constraints for Intelligent Internet of Deep-Sea/Underwater Things Relying on Enterprise Architecture Approach

Sensors

Aoun, C.G.; Mansour, N.; Dornaika, F.; Lagadec, L.

Article / LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation

Information Fusion

Sun, D.; Dornaika, F.; Charafeddine, J.

Article / D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images

Computers in Biology and Medicine

Bougourzi, F.; Dornaika, F.; Distante, C.; Taleb-Ahmed, A.

Article / Semi-Supervised Learning for Multi-View Data Classification and Visualization

Information Switzerland

Ziraki, N.; Bosaghzadeh, A.; Dornaika, F.

Article / Facial Age Estimation Using Multi-Stage Deep Neural Networks

Electronics Switzerland

Bekhouche, S.E.; Benlamoudi, A.; Dornaika, F.; Telli, H.; Bounab, Y.

Article / Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification

Artificial Intelligence Review

Alirezazadeh, P.; Dornaika, F.; Charafeddine, J.

Article / Graph-Based Semi-Supervised Learning with Bipartite Graph for Large-Scale Data and Prediction of Unseen Data

Information Switzerland

Alemi, M.; Bosaghzadeh, A.; Dornaika, F.

Article / Enhancing MRI brain tumor classification: A comprehensive approach integrating real-life scenario simulation and augmentation techniques

Physica Medica

Ali, M.A.; Dornaika, F.; Arganda-Carreras, I.; Chmouri, R.; Shayeh, H.

Article / Towards Self-Conscious AI Using Deep ImageNet Models: Application for Blood Cell Classification

Machine Learning and Knowledge Extraction

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, I.

2023

Chapter / Large scale graph construction and label propagation

International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Ibrahim, Z.; Bosaghzadeh, A.; Dornaika, F.

Chapter / Image augmentation preserving object parts using superpixels of variable granularity

International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

Sun, D.; Dornaika, F.

Chapter / Semi-supervised Classification through Data and Label Graph Fusion

Int. Conference on Computer and Applications

Dornaika, F.; Baradaaji, A.; Charafeddine, J.

Chapter / A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization

ACM International Conference Proceedings Series

Bi, J.; Dornaika, F.

Chapter / Scalable Semi-Supervised Learning through Combined Anchor-based Graph and Flexible Manifold Embedding

Int. Conference on Computer and Applications

Dornaika, F.; Jaam, J.; Bosaghzadeh, A.; Ibrahim, Z.; Barrena, N.

Chapter / Detection of COVID-19 in X-ray images using constrained multi-view spectral clustering

Communications in Computer and Information Science, Volume 1677 CCIS

El Hajjar, S. Dornaika, F.; Abdallah, F.

Article / 2D and 3D CNN-Based Fusion Approach for COVID-19 Severity Prediction from 3D CT-Scans

ARXIV2303.08740

Bougourzi, F.; Dornaika, F.; Nakib, A.; Distante, C.; Taleb-Ahmed, A.

Article / Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images

ARXIV2303.11935

Slika, B.; Dornaika, F.; Merdji, H.; Hammoudi, K.

Article / PDAtt-Unet: Pyramid Dual-Decoder Attention Unet for Covid-19 Infection Segmentation from CT-scans

Medical Image Analysis

Bougourzi, F.; Distante, C.; Dornaika, F.; Taleb-Ahmed, A.

Article / Object-centric Contour-aware Data Augmentation Using Superpixels of Varying Granularity

Pattern Recognition

Dornaika, F.; Sun, D.; Hammoudi, K.; Charafeddine, J.; Cabani, A.; Zhang, C.

Article / Automatically weighted binary multi-view clustering via deep initialization (AW-BMVC)

Pattern Recognition

Houfar, K.; Samai, D.; Dornaika, F.; Benlamoudi, A.; Bensid, K.; Taleb-Ahmed, A.

Article / CNN based facial aesthetics analysis through dynamic robust losses and ensemble regression

Applied Intelligence

Bougourzi, F.; Dornaika, F.; Barrena, N.; Distante, C.; Taleb-Ahmed, A.

Article / A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization

Neural Networks

Dornaika, F.; Bi, J.; Zhang, C.

Article / Chasing a Better Decision Margin for Discriminative Histopathological Breast Cancer Image Classification

Electronics Switzerland

Alirezazadeh, P.; Dornaika, F.; Moujahid, A.

Article / White Blood Cell Classification: Convolutional Neural Network (CNN) and Vision Transformer (ViT) under Medical Microscope

Algorithms

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, I.

Article / Blood Cell Revolution: Unveiling 11 Distinct Types with ‘Naturalize’ Augmentation

Algorithms

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, I.

Article / One-step Multi-view Clustering with Consensus Graph and Data Representation Convolution

ACM Transactions on Intelligent Systems and Technology

Dornaika, F.

2022

Article / SuperpixelGridMasks Data Augmentation: Application to Precision Health and Other Real-world Data

Journal of Healthcare Informatics Research

Hammoudi, K.; Cabani, A.; Slika, B.; Benhabiles, H.; Dornaika, F.; Melkemi, M.

Article / A supervised discriminant data representation: application to pattern classification

Neural Computing and Applications

Dornaika, F.; Khoder, A.; Moujahid, A.; Khoder, W.

Article / Driver drowsiness detection in video sequences using hybrid selection of deep features

Knowledge Based Systems

Bekhouche, S.E.; Ruichek, Y.; Dornaika, F.

Article / Facial age estimation using tensor based subspace learning and deep random forests

Information Sciences

Guehairia, O.; Dornaika, F.; Ouamane, A.; Taleb-Ahmed, A.

Article / Joint Label Inference and Discriminant Embedding

IEEE Transactions on Neural Networks and Learning Systems

Dornaika, F.; Baradaaji, A.; Traboulsi, Y.E.

Article / Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection

Neural Networks

Bekhouche, S.E.; Kajo, I.; Ruichek, Y.; Dornaika, F.

Article / Knowledge-based tensor subspace analysis system for kinship verification

Neural Networks

Serraoui, I.; Laiadi, O.; Ouamane, A.; Dornaika, F.; Taleb-Ahmed, A.

Article / Efficient palmprint biometric identification systems using deep learning and feature selection methods

Neural Computing and Applications

Trabelsi, S.; Samai, D.; Dornaika, F.; Benlamoudi, A.; Bensid, K.; Taleb-Ahmed, A.

Article / Multi-View Graph Fusion for Semi-Supervised Learning: Application to Image-Based Face Beauty Prediction

Algorithms

Dornaika, F.; Moujahid, A.

Article / One-step multi-view spectral clustering with cluster label correlation graph

Information Sciences

El Hajjar, S.; Dornaika, F.; Abdallah, F.

Article / Data representation via refined discriminant analysis and common class structure

Neurocomputing

Dornaika, F.; Khoder, A.; Khoder, W.

Article / Deep learning based face beauty prediction via dynamic robust losses and ensemble regression

Knowledge Based Systems

Bougourzi, F.; Dornaika, F.; Taleb-Ahmed, A.

Article / Consensus graph and spectral representation for one-step multi-view kernel based clustering

Knowledge Based Systems

El Hajjar, S.; Dornaika, F.; Abdallah, F.; Barrena, N.

Article / Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval

Sensors

Alirezazadeh, P.; Dornaika, F.; Moujahid, A.

Article / Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning

Ecological Informatics

Lekunberri, X.; Ruiz, J.; Quincoces, I.; Dornaika, F.; Arganda-Carreras, I.; Fernandes, J.A.

Article / A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments

Sensors

Almeida, A.; Bermejo, U.; Bilbao, A.; Azkune, G.; Aguilera, U.; Emaldi, M.; Dornaika, F.; Arganda-Carreras, I.

Article / Multiple-view flexible semi-supervised classification through consistent graph construction and label propagation

Neural Networks

Ziraki, N.; Dornaika, F.; Bosaghzadeh, A.

Article / On the use of high-order feature propagation in Graph Convolution Networks with Manifold Regularization

Information Sciences

Dornaika, F.

Letter / Multi-view spectral clustering via constrained nonnegative embedding

Information Fusion

El Hajjar, S.; Dornaika, F.; Abdallah, F.

2021

Chapter / Multi-scale multi-block covariance descriptor for a compact face texture representation: Application to Kinship Verification

Emerging Technologies in Biomedical Engineering and Sustainable Tele Medicine

A. Moujahid, F. Dornaika

Chapter / Human Facial Age Estimation: Handcrafted Features vs. Deep Features

Emerging Technologies in Biomedical Engineering and Sustainable Tele Medicine

S.E. Bekhouche, F. Dornaika, A. Ouafi, and A. Taleb-Ahmed

Article / Multi-label multi-task CNN approach for context-based emotion recognition

Information Fusion

I. Bendjoudi, F. Vanderhaegen, D. Hamad, and F. Dornaika

Article / Linear embedding by joint robust discriminant analysis and inter-class sparsity

PROC. IEEE International Conference on Pattern Recognition

F. Dornaika and A. Khoder

Article / Soft label and discriminant embedding estimation for semi-supervised classification

PROC. IEEE International Conference on Pattern Recognition

F. Dornaika and A. Baradaaji, and Y. El Traboulsi

Article / Feature Extraction and Selection via Robust Discriminant Analysis and Class Sparsity

PROC. IEEE International Conference on Pattern Recognition

A. Khoder and F. Dornaika

Article / Efficient multi-task based facial landmark and gesture detection in monocular images

PROC. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

J. Goenetxea, L. Unzueta, U. Elordi, O. Otaegui and F. Dornaika.

Article / Ensemble learning via feature selection and multiple transformed subsets: Application to image classification

Applied Soft Computing

Khoder, A.; Dornaika, F.

Article / Flexible data representation with feature convolution for semi-supervised learning

Applied Intelligence

Dornaika, F.

Article / Per-covid-19: A benchmark dataset for covid-19 percentage estimation from ct-scans

Journal of Imaging

Bougourzi, F.; Distante, C.; Ouafi, A.; Dornaika, F.; Hadid, A.; Taleb-Ahmed, A.

Article / Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19

Journal of Medical Systems

Hammoudi, K.; Benhabiles, H.; Melkemi, M.; Dornaika, F.; Arganda-Carreras, I.; Collard, D.; Scherpereel, A.

Article / A novel multi-level pyramid Co-Variance operators for estimation of personality traits and job screening scores

Traitement Du Signal

Telli, H.; Sbaa, S.; Bekhouche, S.E.; Dornaika, F.; Taleb-Ahmed, A.; López, M.B.

Article / A hybrid discriminant embedding with feature selection: application to image categorization

Applied Intelligence

Khoder, A.; Dornaika, F.

Article / Flexible data representation with graph convolution for semi-supervised learning

Neural Computing and Applications

Dornaika, F.

Article / Inductive semi-supervised learning with Graph Convolution based regression

Neurocomputing

Zhu, R.; Dornaika, F.; Ruichek, Y.

Article / Efficient and compact face descriptor for driver drowsiness detection

Expert Systems with Applications

Moujahid, A.; Dornaika, F.; Arganda-Carreras, I.; Reta, J.

Article / Multi-layer linear embedding with feature subset selection

Knowledge and Information Systems

Dornaika, F.

Article / An enhanced approach to the robust discriminant analysis and class sparsity based embedding

Neural Networks

Khoder, A.; Dornaika, F.

Article / Joint feature and instance selection using manifold data criteria: application to image classification

Artificial Intelligence Review

Dornaika, F.

Article / Semi-supervised classification via simultaneous label and discriminant embedding estimation

Information Sciences

Dornaika, F.; Baradaaji, A.; El Traboulsi, Y.

Article / Visual localization and servoing for drone use in indoor remote laboratory environment

Machine Vision and Applications

Khattar, F.; Luthon, F.; Larroque, B.; Dornaika, F.

Article / Joint auto-weighted graph fusion and scalable semi-supervised learning

Information Fusion

Bahrami, S.; Dornaika, F.; Bosaghzadeh, A.

2020

Article / Multi-scale multi-block covariance descriptor with feature selection

Neural Computation and Applications

A. Moujahid, F. Dornaika

Article / Deep Random Forest for Facial Age Estimation Based on Face images

PROC. International Conference on Communications, Control Systems and Signal Processing

O. Guehairia, A. Ouamane, A. Taleb-Ahmad, and F. Dornaika

Article / Audio-visual and heart signals for attention and emotion analysis.

PROC. ESREL

I. Bendjoudi, D. Hamad, F. Vanderhaegen, and F. Dornaika

Article / Elastic graph-based semi-supervised embedding with adaptive loss regression

PROC. SPIE´s International Symposium on Electronic Imaging

F. Dornaika, Y. El Traboulsi

Article / Vers une méthode d'analyse de signaux audio- visuels et cardiaque pour la détection de dissonances éthiques basée sur l'émotion et l'attention

PROC. Congrès de Maîtrise des Risques et Sureté de Fonctionnement

I. Bendjoudi, D. Hamad, F. Vanderhaegen, and F. Dornaika

Article / Finger-Knuckle-Print Recognition Using Deep Convolutional Neural Network

PROC. International Conference on Communications, Control Systems and Signal Processing

S. Trabelsi, D. Samai, A. Meraoumia, K. Bensid, A. Benlamoudi, F. Dornaika and A. Taleb-Ahmed.

Article / Fusing Transformed Deep and Shallow features (FTDS) for image-based facial expression recognition

Expert Systems with Applications

Bougourzi, F.; Dornaika, F.; Mokrani, K.; Taleb-Ahmed, A.; Ruichek, Y.

Article / Efficient deep discriminant embedding: Application to face beauty prediction and classification

Engineering Applications of Artificial Intelligence

Dornaika, F.; Moujahid, A.; Wang, K.; Feng, X.

Article / Feature fusion via Deep Random Forest for facial age estimation

Neural Networks

Guehairia, O.; Ouamane, A.; Dornaika, F.; Taleb-Ahmed, A.

Article / A comparative study of human facial age estimation: handcrafted features vs. deep features

Multimedia Tools and Applications

Bekhouche, S.; Dornaika, F.; Benlamoudi, A.; Ouafi, A.; Taleb-Ahmed, A.

Article / Feature extraction from null and non-null spaces of kernel local discriminant embedding

Knowledge and Information Systems

Bosaghzadeh, A.; Dornaika, F.

Article / Linear embedding by joint Robust Discriminant Analysis and Inter-class Sparsity

Neural Networks

Dornaika, F.; Khoder, A.

Article / Graph Convolution Networks with manifold regularization for semi-supervised learning

Neural Networks

Kejani, M.T.; Dornaika, F.; Talebi, H.

Article / Parameter self-tuning schemes for the two phase test sample sparse representation classifier

International Journal of Machine Learning and Cybernetics

Dornaika, F.; El Traboulsi, Y.; Ruichek, Y.

Article / Multi-layer manifold learning with feature selection

Applied Intelligence

Dornaika, F.

Article / Sparse graphs using global and local smoothness constraints

International Journal of Machine Learning and Cybernetics

Dornaika, F.

Article / Transfer learning and feature fusion for kinship verification

Neural Computing and Applications

Dornaika, F.; Arganda-Carreras, I.; Serradilla, O.

Article / Efficient deformable 3D face model tracking with limited hardware resources

Multimedia Tools and Applications

Goenetxea, J.; Unzueta, L.; Dornaika, F.; Otaegui, O.

Article / Incremental and dynamic graph construction with application to image classification

Expert Systems with Applications

Bosaghzadeh, A.; Dornaika, F.

Article / Learned versus Handcrafted Features for Person Re-identification

International Journal of Pattern Recognition and Artificial Intelligence

Chahla, C.; Snoussi, H.; Abdallah, F.; Dornaika, F.

Article / Toward graph-based semi-supervised face beauty prediction

Expert Systems with Applications

Dornaika, F.; Wang, K.; Arganda-Carreras, I.; Elorza, A.; Moujahid, A.

Article / Kinship verification through facial images using multiscale and multilevel handcrafted features

Journal of Electronic Imaging

Chergui, A.; Ouchtati, S.; Mavromatis, S.; Bekhouche, S.E.; Sequeira, J.; Dornaika, F.

Article / Robust regression with deep CNNs for facial age estimation: An empirical study

Expert Systems with Applications

Dornaika, F.; Bekhouche, S.E.; Arganda-Carreras, I.

Article / Image-based face beauty analysis via graph-based semi-supervised learning

Multimedia Tools and Applications

Dornaika, F.; Elorza, A.; Wang, K.; Arganda-Carreras, I.

Note / Semi-supervised elastic manifold embedding with deep learning architecture

Pattern Recognition

Zhu, R.; Dornaika, F.; Ruichek, Y.

2019

Chapter / Advanced Multimedia and Ubiquitous Engineering

K. Hammoudi, M. Melkemi, F. Dornaika, H. Benhabiles, F. Windal and O. Taoufik

Article / Image selection using non-linear sparse representation schemes

PROC. International Conference on Science, Engineering and Technology

F. Dornaika, A. Assoum, and I. Kamal Aldine

Article / Learned vs. handcrafted features for person re-identification

International Journal of Pattern Recognition and Artificial Intelligence

C. Chahla, H. Snoussi, F. Abdallah, and F. Dornaika

Article / Deep Learning based Detection of Hair Loss Levels from Facial Images

PROC. IEEE International Conference on Image Processing Theory, Tools and Applications

H. Benabilis, K. Hammoudi, Z. Yang, W. Feryal, M. Melkemi, F. Dornaika, and I. Arganda-Carreras

Article / Adaptive Hybrid Representation for Graph-Based Semi-supervised Classification

PROC. International Conference on Image Analysis and Processing

F. Dornaika, and A. Bosaghzadeh.

Article / Active two phase collaborative representation classifier for image categorization

PROC. International Conference on Image Analysis and Processing

F. Dornaika, Y. El Traboulsi, and Y. Ruichek

Article / Joint graph based embedding and feature weighting for image classification

PROC. International Joint Conference on Neural Networks

R. Zhu, F. Dornaika, and Y. Ruichek

Article / {Discriminant manifold learning with graph convolution based regression for image classification

PROC. International Workshop on Graph-Based Representation in Pattern Recognition

R. Zhu, F. Dornaika, and Y. Ruichek

Article / Sparse graphs with smoothness constraints: Application to dimensionality reduction and semi-supervised classification

Pattern Recognition

Dornaika, F.; Weng, L.

Article / An efficient pyramid multi-level image descriptor: application to image-based parking lot monitoring

Signal, Image and Video Processing

Dornaika, F.; Hammoudi, K.; Melkemi, M.; Phan, T.D.A.

Article / Joint graph based embedding and feature weighting for image classification

Pattern Recognition

Zhu, R.; Dornaika, F.; Ruichek, Y.

Article / Fusion of transformed shallow features for facial expression recognition

IET Image Processing

Bougourzi, F.; Mokrani, K.; Ruichek, Y.; Dornaika, F.; Ouafi, A.; Taleb-Ahmed, A.

Article / Nonlinear, flexible, semisupervised learning scheme for face beauty scoring

Journal of Electronic Imaging

Dornaika, F.; Elorza, A.; Wang, K.; Arganda-Carreras, I.

Article / Active two phase collaborative representation classifier

ACM Transactions on Knowledge Discovery from Data

Dornaika, F.

Article / Joint sparse graph and flexible embedding for graph-based semi-supervised learning

Neural Networks

Dornaika, F.; El Traboulsi, Y.

Article / A pyramid multi-level face descriptor: application to kinship verification

Multimedia Tools and Applications

Moujahid, A.; Dornaika, F.

Article / Multi similarity metric fusion in graph-based semi-supervised learning

Computation

Bahrami, S.; Bosaghzadeh, A.; Dornaika, F.

Article / Learning a discriminant graph-based embedding with feature selection for image categorization

Neural Networks

Zhu, R.; Dornaika, F.; Ruichek, Y.

Article / Age estimation in facial images through transfer learning

Machine Vision and Applications

Dornaika, F.; Arganda-Carreras, I.; Belver, C.

Article / Towards semantic segmentation of orthophoto images using graph-based community identification

Neural Computing and Applications

Moujahid, A.; Dornaika, F.; Ruichek, Y.; Hammoudi, K.

2018

Chapter / Recent Trends in Computer Applications for Sustainable Development

A. Moujahid, F. Dornaika, and B. Cases

Article / Quadcopter control using onboard monocular camera for enriching remote laboratory facilities

PROC. International Conference on Automation, Quality and Testing, Robotics

F. Khattar, F. Dornaika, F. Luthon, and B. Larroque

Article / Semi-supervised two phase test sample sparse representation classifier

Knowledge-Based Systems

El Traboulsi, Y.; Dornaika, F.; Ruichek, Y.

Article / Structured sparse graphs using manifold constraints for visual data analysis

Neurocomputing

Dornaika, F.; Weng, L.; Jin, Z.

Article / Proposals for local basis selection for the sparse representation-based classifier

Signal, Image and Video Processing

Dornaika, F.; El Traboulsi, Y.

Article / Instance Selection Using Nonlinear Sparse Modeling

IEEE Transactions on Circuits and Systems for Video Technology

Dornaika, F.; Aldine, I.K.

Article / Flexible semi-supervised embedding based on adaptive loss regression: Application to image categorization

Information Sciences

Traboulsi, Y.E.; Dornaika, F.

Article / Feature selection for spatially enhanced LBP: application to face recognition

International Journal of Data Science and Analytics

Moujahid, A.; Dornaika, F.

2017

Chapter / Machine Learning: Advances in Research and Applications

F. Dornaika and I. Kamal Aldine.

Chapter / Semi-supervised Learning: Background, Applications and Future Directions

F. Dornaika, Y. El Traboulsi, I. Arganda-Carreras and B. Cases

Chapter / Semi-supervised Learning: Background, Applications and Future Directions

L. Weng, F. Dornaika, and Z. Jin

Article / Analyse et gestion de l'occupation de places de stationnement par vision artificielle

PROC. Workshop GAST 2017 (Gestion et Analyse des donnees Spatiales et Temporelles)

K. Hammoudi, H. Benhabiles, M. Melkemi, and F. Dornaika

Article / Use of gaming and computer vision to drive student motivation in remote learning lab activities

PROC. International Conference of Education, Research and Innovation

F. Luthon, B. Larroque, F. Khattar, and F. Dornaika

Article / Graph construction using adaptive Local Hybrid Coding scheme

Neural Networks

Dornaika, F.; Kejani, M.T.; Bosaghzadeh, A.

Article / Efficient dynamic graph construction for inductive semi-supervised learning

Neural Networks

Dornaika, F.; Dahbi, R.; Bosaghzadeh, A.; Ruichek, Y.

Article / Pyramid multi-level features for facial demographic estimation

Expert Systems with Applications

Bekhouche, S.E.; Ouafi, A.; Dornaika, F.; Taleb-Ahmed, A.; Hadid, A.

Article / Discriminant quaternion local binary pattern embedding for person re-identification through prototype formation and color categorization

Engineering Applications of Artificial Intelligence

Chahla, C.; Snoussi, H.; Abdallah, F.; Dornaika, F.

Article / Matrix exponential based semi-supervised discriminant embedding for image classification

Pattern Recognition

Dornaika, F.; Traboulsi, Y.E.

2016

Chapter / Neural Computation in Engineering and Science

Pijush Samui, Sanjiban Sekhar Roy and Valentina Emilia Balas

F. Dornaika, A. Bosaghzadeh, H. Salmane, and Y. Ruichek

Chapter / Neural Computation in Engineering and Science

Pijush Samui, Sanjiban Sekhar Roy and Valentina Emilia Balas

F. Dornaika, A. Moujahid, Y. El Merabet, and Y. Ruichek

Article / Dynamic adaptive graph construction: Application to graph-based multi-observation classification

Proc. of IEEE International Conference on Pattern Recognition

F. Dornaika, R. Dhabi, A. Bosaghzadeh, and Y. Ruichek

Article / Using computer vision for student-centred remote lab in electronics

Proc. of EDULEARN conference

F. Khattar, F. Luthon, B. Larroque, and F. Dornaika

Article / Face recognition using color Local Binary Patterns: A comparative study

Proc. of the Spanish Conference on Fuzzy Logic and Technologies.

F. Dornaika, I. Gonzales, and Y. Ruichek

Article / Graph construction using adaptive local hybrid coding scheme: Application to face recognition

Proc. of the Spanish Conference on Fuzzy Logic and Technologies

F. Dornaika, M. Tavassoli Kejani, A. Bosaghzadeh, and H. Mahvash

Article / Flexible constrained sparsity preserving embedding

Pattern Recognition

Weng, L.; Dornaika, F.; Jin, Z.

Article / Inductive and flexible feature extraction for semi-supervised pattern categorization

Pattern Recognition

Dornaika, F.; Traboulsi, Y.E.; Assoum, A.

Article / Building detection from orthophotos using a machine learning approach: An empirical study on image segmentation and descriptors

Expert Systems with Applications

Dornaika, F.; Moujahid, A.; El Merabet, Y.; Ruichek, Y.

Article / Graph construction based on data self-representativeness and Laplacian smoothness

Neurocomputing

Weng, L.; Dornaika, F.; Jin, Z.

Article / Kernel sparse modeling for prototype selection

Knowledge-Based Systems

Dornaika, F.; Kamal Aldine, I.; Hadid, A.

Article / Discriminant sparse label-sensitive embedding: Application to image-based face pose estimation

Engineering Applications of Artificial Intelligence

Dornaika, F.; Chahla, C.; Khattar, F.; Abdallah, F.; Snoussi, H.

Article / Learning flexible graph-based semi-supervised embedding

IEEE Transactions on Cybernetics

Dornaika, F.; El Traboulsi, Y.

Editorial / Sensors Technologies and Methods for Perception Systems in Intelligent Vehicles

Journal of Sensors

Ruichek, Y.; Dornaika, F.; El Najjar, M.E.B.

Review / An empirical study of global descriptors for image-based localization in dense urban scenes

International Journal of Sensors, Wireless Communications and Control

Dornaika, F.; Assoum, A.; Moujahid, A.; Arganda-Carreras, I.

Review / Developing a vision-based adaptive parking space management system

International Journal of Sensors, Wireless Communications and Control

Hammoudi, K.; Benhabiles, H.; Jandial, A.; Dornaika, F.; Mouzna, J.

2015

Chapter / Advances in Face Image Analysis: Theory and Applications

L. Unzueta, W. Pimenta, J. Goenetxea, L. Santos, and F. Dornaika

Chapter / Advances in Face Image Analysis: Theory and Applications

F. Khattar, F. Dornaika, and A. Assoum

Chapter / Advances in Face Image Analysis: Theory and Applications

A. Bosaghzadeh and F. Dornaika

Chapter / Advances in Face Image Analysis: Theory and Applications

F. Dornaika and A. Assoum

Chapter / Advances in Face Image Analysis: Theory and Applications

L. Weng, Z. Jin, and F. Dornaika

Chapter / Emotional and Facial Expressions: Recognition, Developmental Differences and Social Importance

F. Dornaika, B. Raducanu, and A. Bosaghzadeh

Article / Object classification using hybrid holistic descriptors: Application to building detection in aerial orthophotos

Polibits

F. Dornaika, A. Moujahid, A. Bosaghzadeh, Y. EL Merabet, and Y. Ruichek

Article / Combination of block-based image matching using Local Binary Patterns and LIDAR data for vehicle localization

Proc. EuroGNC conference

Y. Qiao, C. Cappelle, Y. Ruichek, and F. Dornaika

Article / Design, implementation and simulation of an experimental processing architecture for enhancing real-time video services by combining VANET, cloud computing system and onboard navigation

Proc. IEEE International Conference on Pervasive and Embedded Computing and Communication Systems

K. Hammoudi, N. Ajam, M. Kasraoui, F. Dornaika, K. Radhakrishnan, K. Bandi, Q. Cai, and S. Liu

Article / Adaptive graph construction using data self-representativeness for pattern classification

Information Sciences

Dornaika, F.; Bosaghzadeh, A.

Article / Decremental Sparse Modeling Representative Selection for prototype selection

Pattern Recognition

Dornaika, F.; Kamal Aldine, I.

Article / Kernel flexible manifold embedding for pattern classification

Neurocomputing

El Traboulsi, Y.; Dornaika, F.; Assoum, A.

2014

Article / Object classification using hybrid holistic descriptors: Application to roof detection from orthophotos

Proc. Mexican International Conference on Artificial Intelligence

F. Dornaika, A. Moujahid, A. Bosaghzadeh, Y. EL Merabet, and Y. Ruichek

Article / Facial expression recognition based on multi-view observations with application to social robotics

Proc. Asian Conference on Computer Vision Workshops

B. Raducanu, A. Bosaghzadeh, and F. Dornaika

Article / Design, simulation and implementation of a cloud computing system for enhancing Real-time video services by using VANET and onboard navigation systems

Colloque COmpression et REprésentation des Signaux Audiovisuels CORSEA

K. Hammoudi, N. Ajam, M. Kasraoui, F. Dornaika, K. Radhakrishnan, K. Bandi, Q. Cai, S. Liu

Article / From Images to Augmented Reality

Proc. LAAS International Science Conference New Frontiers in Sciences

G. Dandachi, A. Assoum, B. ElHassan, and F. Dornaika

Article / Graph-based semi-supervised learning with Local Binary Patterns for holistic object categorization

Expert Systems with Applications

Dornaika, F.; Bosaghzadeh, A.; Salmane, H.; Ruichek, Y.

Article / A graph construction method using LBP self-representativeness for outdoor object categorization

Engineering Applications of Artificial Intelligence

Dornaika, F.; Bosaghzadeh, A.; Salmane, H.; Ruichek, Y.

Article / Efficient generic face model fitting to images and videos

Image and Vision Computing

Unzueta, L.; Pimenta, W.; Goenetxea, J.; Santos, L.P.; Dornaika, F.

Article / Image-based delineation and classification of built heritage masonry

Remote Sensing

Oses, N.; Dornaika, F.; Moujahid, A.

Article / Embedding new observations via sparse-coding for non-linear manifold learning

Pattern Recognition

Raducanu, B.; Dornaika, F.

2013

Article / A synergistic approach for recovering occlusion-free textured 3d maps of urban facades from heterogeneous cartographic data

International Journal of Advanced Robotic Systems

Hammoudi, K.; Dornaika, F.; Soheilian, B.; Vallet, B.; McDonald, J.; Paparoditis, N.

Article / Parameterless local discriminant embedding

Neural Processing Letters

Bosaghzadeh, A.; Moujahid, A.; Dornaika, F.

Article / Exponential local discriminant embedding and its application to face recognition

IEEE Transactions on Cybernetics

Dornaika, F.; Bosaghzadeh, A.

Article / Texture-independent recognition of facial expressions in image snapshots and videos

Machine Vision and Applications

Raducanu, B.; Dornaika, F.

Article / Facial expression recognition using tracked facial actions: Classifier performance analysis

Engineering Applications of Artificial Intelligence

Dornaika, F.; Moujahid, A.; Raducanu, B.

Article / Enhanced and parameterless Locality Preserving Projections for face recognition

Neurocomputing

Dornaika, F.; Assoum, A.

2012

Chapter / Computational Intelligence Paradigms in Advanced Pattern Classification

M.R. Ogiela and L.C. Jain

A. Sappa, D. Geronimo, F. Dornaika, M. Rouhani, and A. Lopez

Chapter / Horizons in Computer Science Research

Thomas S. Clary

F. Dornaika and A. Assoum

Chapter / Facial Expressions: Dynamic Patterns, Impairments and Social Perceptions

Sandra E. Carter and Vaughan T. Bailey

F. Dornaika and B. Raducanu

Chapter / Handbook of Pattern Recognition: Methods and Applications

Khalid Hosny and Jorge de la Calleja

A. Assoum and F. Dornaika

Chapter / Handbook of Pattern Recognition: Methods and Applications

Khalid Hosny and Jorge de la Calleja

F. Dornaika, F. chakik, and A. Shahin.

Article / LSDA solution schemes for modelless 3D head pose estimation

Proc. of IEEE Workshop on Applications of Computer Vision

F. Dornaika, A. Bosaghzadeh, and B. Raducanu

Article / Pose-invariant face recognition for Human Computer Interaction

Proc. of International Conference on Cognitive Systems

B. Raducanu and F. Dornaika

Article / acial expression recognition in videos using tracked facial actions: Classifier performance analysis

Engineering Applications of Artificial Intelligence

F. Dornaika, A. Moujahid, and B. Raducanu

Article / A supervised non-linear dimensionality reduction approach for manifold learning

Pattern Recognition

Raducanu, B.; Dornaika, F.

Article / Image registration for foveated panoramic sensing

ACM Transactions on Multimedia Computing, Communications and Applications

Dornaika, F.; Elder, J.H.

Article / Moving object detection from mobile platforms using stereo data registration

Studies in Computational Intelligence

Sappa, A.D.; Gerónimo, D.; Dornaika, F.; Rouhani, M.; López, A.M.

Article / Efficient object detection and tracking in video sequences

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Dornaika, F.; Chakik, F.

2011

Book / Ambient Intelligence and Smart Environments

J.C. Augusto et al.

F. Dornaika, A. Assoum, and A. Moujahid

Chapter / Advances in Face Image Analysis: Techniques and Technologies

Yu-Jin Zhang

F. Dornaika and B. Raducanu

Article / A new framework for stereo sensor pose through road segmentation and registration

IEEE Transactions on Intelligent Transportation Systems

Dornaika, F.; Álvarez, J.M.; Sappa, A.D.; López, A.M.

Article / Improving dynamic facial expression recognition with feature subset selection

Pattern Recognition Letters

Dornaika, F.; Lazkano, E.; Sierra, B.

Article / A featureless approach to 3D polyhedral building modeling from aerial images

Sensors

Hammoudi, K.; Dornaika, F.

2010

Article / Bayesian inference and maximum entropy for cancer diagnosis

Proc. Int. Conference on the Extraction and Management of Knowledge

F. Dornaika and F. Chakik

Article / Integrating prior knowledge into the maximum entropy principle

Proc. Int. Conference on the Extraction and Management of Knowledge

F. Chakik and F. Dornaika

Article / Generating raw polygons of street facades from a 2D urban map and terrestrial LASER range data

Proc. Australasian Remote Sensing and Photogrammetry Conference

K. Hammoudi, F. Dornaika, B. Soheilian, and N. Paparoditis

2009

Article / Do Maximum Entropy Principle and VapnickÂ´s Support Vector Machines have the same mathematical derivations?

Proc. of Int. Arab Conference on Information Technology

F. Chakik, F. Dornaika, and A. Shahin

Article / Simultaneous 3D face pose and person-specific shape esimation from a single image using a holistic approach

Proc. IEEE Int. Workshop on Applications of Computer Vision

F. Dornaika and B. Raducanu

Article / Extracting building footprints from 3D point clouds using terrestrial Laser scanning at street level

Proc. Workshop on Object Extraction for 3D City Models, Road Databases and Traffic Monitoring

K. Hammoudi, F. Dornaika, and N. Paparoditis

Age estimation in face images

University of the Basque Country

Gaby Maroun - In preparation

Contribution to deep metric learning

BIn Wang - In preparation

Angular Margin-based Softmax Losses: Toward Discriminative Metric Learning

University of the Basque Country

Pendar Alirezazadeh - Finished

Contribution to Data Augmentation for Image Classification and Segmentation

University of the Basque Country

Danyang Sun - Finished

Contribution to Graph-based Semi-supervised Deep Learning

University of the Basque Country

Jingjun Bi - Finished

Contribution to graph-based semi-supervised learning; Joint label and latent space estimation

University of the Basque Country

Abdullah Baradaaji - Finished

Contribution to Graph-based Multi-View Clustering; Algorithms and appliciations

University of the Basque Country

Sally El Hajjar - Finished

Learning tools for Facial Image Analysis

University of the Basque Country

Salah Bekhouche - In preparation

Scalable Semi-supervised learning

University of the Basque Country

Zoulfikar Ibrahim - In preparation

Contribution to Medical Image Analysis

University of the Basque Country

Bouthaina Slika - In preparation

Automated analysis of biomedical images

University of the Basque Country

Mohammad Abou Ali - In preparation

Contribution to Supervised Representation Learning: Algorithms and Applications

University of the Basque Country

Ahmad Khoder - Finished

Deformable object detection and tracking in images and videos

University of the Basque Country

Jon Goenetxea - Finished

Enriching Remote Labs Using Computer Vision and Drones

University of the Basque Country UPV/EHU and Université de Pau et Pays del'Adour UPPA

Fawzi Khattar - Finished

Graph based semi-supervised learning: Algorithms and applications

University of the Basque Country UPV/EHU and Nanjing University of Science and Technology

Libo Weng - Finished

Non-linear feature extraction for object re-identification in cameras networks

University of Technology of Troyes

Charbel Chahla - Finished

Contribution to semi-supervised learning: Application to pattern classification

University of the Basque Country UPV/EHU and the Lebanese university

Youssof El Traboulsi - Finished

Contributions to manifold learning: applications to visual data analysis

University of the Basque Country UPV/EHU

Alireza Bosaghzadeh - Finished

Contributions to the 3D city modeling; 3D polyhedral building model reconstruction from aerial images, 3D facade modeling from terrestrial 3D point cloud and images

Université Paris Est

Karim Hammoudi - Finished

2020

Deep multi-task learning for face beauty prediction

Lebanese Uniiversity

Consistent Graph and Label Estimation using Multiple-view Data

Shahid Rajaee Teacher Training University

2019

Feature selection schemes for Image Clustering

University of the Basque Country

2018

Driver drowsiness detection in videos

University of the Basque Country

New learning paradigms for age estimation in facial images

Lebanese University

2017

Image-based family verification in the wild

University of the Basque Country

Comparative Analysis of Facial expressions using hand-crafted and deep face features

University of the Basque Country

Automatic aesthetic analysis via manifold based semi-supervised learning

University of the Basque Country

2016

Facial age estimation using manifold learning adopting fuzzy age membership

Lebanese University

EVALUATION OF FACIAL FEATURE EXTRACTION TECHNIQUES FOR AUTOMATIC AESTHETIC ANALYSIS

Autonomous University of Barcelona

Comparative study of human age estimation based on hand-crafted and deep face features

University of the Basque Country

Graph construction using adaptive local hybrid coding scheme: Application to face recognition

Isfahan University

2015

Image region clustering based on image descriptors

University of the Basque Country UPV/EHU

Face recognition by selecting blocs's descriptors

University of the Basque Country UPV/EHU

Generic face model fitting to images and videos

University of the Basque Country UPV/EHU

2014

Age estimation from face images

Lebanese university

Image-based geo-localization

Lebanese university

Model-less 3D face pose estimation

Lebanese university

From images to augmented reality

Lebanese university

2013

Robust instance selection for image datasets

Lebanese French university

2012

Optimized graph reconstruction for non-linear manifold learning

Lebanese University

2011

Face Recognition on Riemannian Manifolds

Autonmous University of Barcelona

2009

Statistical modeling of facial images

Lebanese University

2008

Featureless approaches to 3D building reconstruction from aerial images

2005

Image-based family verification in the wild

University of the Basque Country

2023

Thesis title: Fusion de capteurs par réseaux de neurones profonds pour la détection d'objets 3D dans l'environnement des véhicules autonomes. Université de Toulouse, January, 2023, Toulouse, France.

Thesis title: Deep Learning for Anomaly Detection in Images and Videos. Université de Technologie Troyes, June, 2023, Troyes, France.

Thesis title: Data-centric design and training of deep neural networls with multiple data modalities for vision-based perception systems. University of the Basque Country, June, 2023, San Sebastian, Spain.

Thesis title: Optimizing Deep Neural Network Deployment for Intelligent Security Video Analytics. University of the Basque Country, September, 2023, San Sebastian, Spain.

Thesis title: Contribution to Data Clustering with Graph Convolution Networks. Université du Littoral Cote d'Opale and Lebanese University, November, 2023, Calais, France.

Book editing at SRINGER. The title is "Advances in Data Clustering: Theory and Applications"

Action Editor. Editorial Board of Neural Networks jounral.

2022

Thesis title: Déploiement d'un système de suivi par vidéo et analyse comportementale. Amaury Auguste, Université de Bretagne Ouest, France, September, 2022, Brest, France.

Thesis title: Système de vision embarqué pour l'amélioration de l'autonomie des drones sous-marins. Tanguy Le Pennec, Université de Bretagne Ouest, France, September, 2022, Brest, France.

Action Editor. Editorial Board of Neural Networks jounral.

2021

Action Editor. Editorail Board of Neural Networks journal. As of January 2021.

PhD committeee participation. Thesis title: "Day and night Place Recognition based on low-quality night-time images". University of Technology of Belfort-Montbeliard July, 2021, Belfort, France.

Thesis title: Automatic risk detection system by audiovisual signal processing. Ilyes Bendjoudi, Université Polytechnique Hauts de France, December, 2021, Valenciennes, France.

2020

PhD committee participation Thesis title: "Contribution to Graph-based Manifold Learning with Application to Image Categorization". Ruifeng ZHU, University of Technology of Belfort-Montbeliard July, 2020, Belfort, France.

2019

PhD committee participation Thesis title: "Single sensor multi-spectral imaging". Xavier Soria. Autonomous University of Barcelona, September, 2019, Barcelona, Spain.

PhD committee participation Thesis title: "Apprentissage profond appliqué à la détection d'événements anormaux dans les flux vidéos". Samir Bouindour. University of Technology of Troyes, December 2019, Troyes, France.

PhD committee participation Thesis title: "Semi-supervised margin-based feature selection for classification". Samah Hijazi. University of Lille and the Lebanese University, December, 2019, Beirut, Lebanon.

2018

PhD committee participation Thesis title: "Enriching remote labs. using computer vision and drones". Fawzi Khattar. Université de Pau et des Pays de l'Adour, December 2018, Bayonne, France.

2017

PhD committee participation Thesis title: "Non-linear feature extraction for object identification in cameras networks". Charbel Chahla. University of Technology of Troyes, September 2017, Troyes, France.

PhD committee participation Thesis title: "Multi color space LBP-based feature selection for texture classification". Vinh Truong Hoang. University of Littoral Cote D'Opale, February 2018, Calais, France.

2016

PhD committee participation: Thesis title: "Articulated Human Pose Estimation in Images and Video". Aichin ZHU. University of Technology of Troyes, May 2016, Troyes, France.

2015

PhD committee participation. Thesis title: "Contribution to graph-based semi-supervised learning: Application to pattern classification". Youssof El Traboulsi. Lebanese University, December 2015, Beirut, Lebanon.

2014

PhD committee participation Thesis title: "Abnormal detection in video streams via One-class learning methods". Tian Wang, University of Technology of Troyes, May 2014, Troyes, France.

PhD committee participation Thesis title: "Online Machine Learning methods for visual tracking". Lei Qin, University of Technology of Troyes, May 2014, Troyes, France

2013

Editor of a special issue about Robust vision based face recognition. Managing the review of 50 submitted journal articles.

PhD committee participation Thesis title: "Optical Flow in Driver Assistance Systems". Naveen Onkarappa, Autonomous University of Barcelona, October 2013, Barcelona, Spain.

PhD committee participation Thesis title: "Image segmentation using color and texture information. Application to GNSS environment characterization." D. Attia, Universite de Technologie de Belfort-Montbeliard, October 2013, Belfort, France.

2025

Conference Paper | Transformer-Based Lung Infection Severity Prediction with Cross Attention and Conditional TransMix Augmentation

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops - Conference Paper

Slika, B.; Dornaika, F.; Bougourzi, F.; Hammoudi, K.

2024

Conference paper | Rethinking attention gated with hybrid dual pyramid Transformer-CNN for generalized segmentation in medical imaging

Bougourzi, F.; Dornaika, F.; Taleb-Ahmed, A.; Hoang, V.

Conference paper | Superpixel Mixing: A Data Augmentation Technique for Robust Deep Visual Recognition Models

Sun, D.; Dornaika, F.; Hoang,, V.; Barrena, N.

Conference paper | Weighted Graph Convolution Network for Multi-view Semi-supervised Classification.

Bi, J.; Dornaika, F.

Conference paper | Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans

Bougourzi, F.; Wendal, F.; Benhabilis, H.; Dornaika, F.; Taleb-Ahmed, A.

Conference paper | Enhancing medical image classification with Streamlined-EvidNet: A robust neural network architecture

Al Gharib, S.; Charafeddine, J.; Haddad, S.; Dornaika, F.

Conference paper | Data augmentation for medical image segmentation using super-pixel based grid mixing and masking.

Sun, D.; Dornaika, F.; Barrena, N.

Conference Paper | Data and Label Graph Fusion for Semi-supervised Learning: Application to Image Categorization

Is and T International Symposium on Electronic Imaging Science and Technology - Conference Paper

Baradaaji, A.; Dornaika, F.; Arganda-Carreras, I.

Conference Paper | Image Augmentation Preserving Object Parts Using Superpixels of Variable Granularity

Proceedings of the International Joint Conference on Computer Vision Imaging and Computer Graphics Theory and Applications - Conference Paper

Sun, D.; Dornaika, F.

Conference Paper | Large Scale Graph Construction and Label Propagation

Proceedings of the International Joint Conference on Computer Vision Imaging and Computer Graphics Theory and Applications - Conference Paper

Ibrahim, Z.; Bosaghzadeh, A.; Dornaika, F.

Conference Paper | Predicting Lung Infection Severity in Chest X-Ray Images Through Multi-score Assessment

Communications in Computer and Information Science - Conference Paper

Slika, B.; Dornaika, F.; Hammoudi, K.

Conference Paper | Revolutionizing Skin Cancer Diagnosis: Unleashing AI Precision Through Deep Learning

Communications in Computer and Information Science - Conference Paper

Abou Ali, M.; Dornaika, F.; Arganda-Carreras, I.; Ali, H.; Karaouni, M.

Conference Paper | SUPERPIXEL MIXING: A DATA AUGMENTATION TECHNIQUE FOR ROBUST DEEP VISUAL RECOGNITION MODELS

Proceedings International Conference on Image Processing Icip - Conference Paper

Sun, D.; Dornaika, F.; Hoang, V.T.; Barrena, N.

Conference Paper | Data Augmentation Techniques for Medical Image Segmentation - A Review

2024 International Conference on Computer and Applications Icca 2024 - Conference Paper

Kozah, N.; Dornaika, F.; Charafeddine, J.; El Jaam, J.

Conference Paper | Deep Learning Image-Based Plant Disease Classification - A Review

2024 International Conference on Computer and Applications Icca 2024 - Conference Paper

Tartoussi, I.; Dornaika, F.; Alirezazadeh, P.; El Jaam, J.

2023

Conference Paper | Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS

Icasspw 2023 2023 IEEE International Conference on Acoustics Speech and Signal Processing Workshops Proceedings - Conference Paper

Bougourzi, F.; Dornaika, F.; Nakib, A.; Distante, C.; Taleb-Ahmed, A.

Conference Paper | CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3D CT-scans

Lecture Notes in Computer Science - Conference Paper

Bougourzi, F.; Distante, C.; Dornaika, F.; Taleb-Ahmed, A.

Conference Paper | A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization

ACM International Conference Proceeding Series - Conference Paper

Bi, J.; Dornaika, F.

Conference Paper | Scalable Semi-Supervised Learning through Combined Anchor-based Graph and Flexible Manifold Embedding

Icca 2023 2023 5th International Conference on Computer and Applications Proceedings - Conference Paper

Dornaika, F.; Jaam, J.; Bosaghzadeh, A.; Ibrahim, Z.; Barrena, N.

Conference Paper | Semi-supervised Classification through Data and Label Graph Fusion

Icca 2023 2023 5th International Conference on Computer and Applications Proceedings - Conference Paper

Dornaika, F.; Baradaaji, A.; Charafeddine, J.

2022

Conference paper | CNR-IEMN-CD and CNR-IEMN-CSD Approaches for COVID-19 Detection and COVID-19 Severity Detection from 3D CT-Scan

F. Bougourzi, C. Distante, F. Dornaika, A. Taleb-Ahmed

Conference paper | A Multi-graph Fusion Based Manifold Embedding for Face Beauty Prediction

K. Wang, X, Feng, F. Dornaika, D. Huang, Z. Xia.

Conference paper | Facial Beauty Prediction Using Hybrid CNN Architectures and Dynamic Robust Loss Function

F. Bougourzi, F. Dornaika, C. DistanteA. Taleb-Ahmed

Conference paper | Adaptive Fashion: Improving Consumer-to-Shop Clothes Retrieval with Adaptive Margin

P. Alirezazadeh, F. Dornaika, A. Moujahid

Conference Paper | Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering

Communications in Computer and Information Science - Conference Paper

Hajjar, S.E.; Dornaika, F.; Abdallah, F.

Conference Paper | Graph Convolution Networks for Unsupervised Learning

Communications in Computer and Information Science - Conference Paper

Jreidy, M.A.; Constantin, J.; Dornaika, F.; Hamad, D.

Conference Paper | ILC-Unet++ for Covid-19 Infection Segmentation

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics - Conference Paper

Bougourzi, F.; Distante, C.; Dornaika, F.; Taleb-Ahmed, A.; Hadid, A.

Conference Paper | Multi-view Spectral Clustering via Integrating Label and Data Graph Learning

Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics - Conference Paper

El Hajjar, S.; Dornaika, F.; Abdallah, F.; Omrani, H.

2021

Conference Paper | Efficient multi-task based facial landmark and gesture detection in monocular images

Visigrapp 2021 Proceedings of the 16th International Joint Conference on Computer Vision Imaging and Computer Graphics Theory and Applications - Conference Paper

Goenetxea, J.; Unzueta, L.; Elordi, U.; Otaegui, O.; Dornaika, F.

2020

Conference Paper | Deep random forest for facial age estimation based on face images

CCSSP 2020 - 1st International Conference on Communications, Control Systems and Signal Processing - Conference Paper

Guehairia, O.; Ouamane, A.; Dornaika, F.; Taleb-Ahmed, A.

Conference Paper | Feature extraction by joint robust discriminant analysis and inter-class sparsity

Proceedings - International Conference on Pattern Recognition - Conference Paper

Dornaika, F.; Khoder, A.

Conference Paper | Soft label and discriminant embedding estimation for semi-supervised classification

Proceedings - International Conference on Pattern Recognition - Conference Paper

Dornaika, F.; Baradaaji, A.; El Traboulsi, Y.

Conference Paper | Feature extraction and selection via robust discriminant analysis and class sparsity

Proceedings - International Conference on Pattern Recognition - Conference Paper

Khoder, A.; Dornaika, F.

2019

Conference Paper | Deep Learning based Detection of Hair Loss Levels from Facial Images

2019 9th International Conference on Image Processing Theory, Tools and Applications, IPTA 2019 - Conference Paper

Benhabiles, H.; Hammoudi, K.; Yang, Z.; Windal, F.; Melkemi, M.; Dornaika, F.; Arganda-Carreras, I.

Conference Paper | Driver drowsiness detection in facial images

2018 8th International Conference on Image Processing Theory, Tools and Applications, IPTA 2018 - Proceedings - Conference Paper

Dornaika, F.; Reta, J.; Arganda-Carreras, I.; Moujahid, A.

Conference Paper | Adaptive hybrid representation for graph-based semi-supervised classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Bosaghzadeh, A.

Conference Paper | Active two phase collaborative representation classifier for image categorization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; El Traboulsi, Y.; Ruicheck, Y.

Conference Paper | Discriminant Manifold Learning with Graph Convolution Based Regression for Image Classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Zhu, R.; Dornaika, F.; Ruichek, Y.

Conference Paper | Image-based driver drowsiness detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Khattar, F.; Reta, J.; Arganda-Carreras, I.; Hernandez, M.; Ruichek, Y.

Conference Paper | A comparative study of 2 resolution-level LBP descriptors and compact versions for visual analysis

Lecture Notes in Electrical Engineering - Conference Paper

Hammoudi, K.; Melkemi, M.; Dornaika, F.; Benhabiles, H.; Windal, F.; Taoufik, O.

2018

Conference Paper | Flexible and Discriminative Non-linear Embedding with Feature Selection for Image Classification

Proceedings - International Conference on Pattern Recognition - Conference Paper

Zhu, R.; Dornaika, F.; Ruichek, Y.

Conference Paper | Robust and Flexible Graph-based Semi-supervised Embedding

Proceedings - International Conference on Pattern Recognition - Conference Paper

Dornaika, F.; Traboulsi, Y.E.; Zhu, R.

Conference Paper | 3D Object-Camera and 3D Face-Camera Pose Estimation for Quadcopter Control: Application to Remote Labs

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Khattar, F.; Dornaika, F.; Larroque, B.; Luthon, F.

Conference Paper | Detection systems for improving the citizen security and comfort from urban and vehicular surveillance technologies: An overview

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST - Conference Paper

Hammoudi, K.; Benhabiles, H.; Melkemi, M.; Dornaika, F.

2017

Conference Paper | Data reduction through kernel sparse coding

International Conference on Advances in Biomedical Engineering, ICABME - Conference Paper

Aldine, I.K.; Dornaika, F.; Cases, B.; Assoum, A.

Conference Paper | Sparse feature extraction for model-less robust face pose estimation

2017 Sensors Networks Smart and Emerging Technologies, SENSET 2017 - Conference Paper

Chahla, C.; Dornaika, F.; Abdallah, F.; Snoussi, H.

Conference Paper | Analyzing and managing the slot occupancy of car parking by exploiting vision-based urban surveillance networks

2017 International Conference on Selected Topics in Mobile and Wireless Networking, MoWNeT 2017 - Conference Paper

Hammoudi, K.; Melkemi, M.; Benhabiles, H.; Dornaika, F.; Hamrioui, S.; Rodrigues, J.

Conference Paper | Personality Traits and Job Candidate Screening via Analyzing Facial Videos

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops - Conference Paper

Bekhouche, S.E.; Dornaika, F.; Ouafi, A.; Taleb-Ahmed, A.

Conference Paper | Recognizing multiple observations using adaptive graph based label propagation

3rd International Conference on Pattern Analysis and Image Analysis, IPRIA 2017 - Conference Paper

Dornaika, F.; Dhabi, R.; Ruichek, Y.; Bosaghzadeh, A.

Conference Paper | Margin Based Semi-Supervised Elastic Embedding for Face Image Analysis

Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 - Conference Paper

Dornaika, F.; El Traboulsi, Y.

Conference Paper | Evaluating age estimation using deep convolutional neural nets

IS and T International Symposium on Electronic Imaging Science and Technology - Conference Paper

Belver, C.; Arganda-Carreras, I.; Dornaika, F.

Conference Paper | Efficient graph construction through constrained data self-representativeness

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Weng, L.; Dornaika, F.; Jin, Z.

Conference Paper | Comparative study of human age estimation based on hand-crafted and deep face features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Belver, C.; Arganda-Carreras, I.; Dornaika, F.

2016

Conference Paper | Augmented Reality application: A new implementation chain

2016 IEEE International Multidisciplinary Conference on Engineering Technology, IMCET 2016 - Conference Paper

Nazir, S.; Assoum, A.; El Hassan, B.; Dornaika, F.

Conference Paper | Place recognition using image retrieval with covariance descriptors

IS and T International Symposium on Electronic Imaging Science and Technology - Conference Paper

Dornaika, F.; Assoum, A.; Moujahid, A.

Conference Paper | Exploiting color cues to improve person re-identification

IET Seminar Digest - Conference Paper

Chahla, C.; Snoussi, H.; Abdallah, F.; Dornaika, F.

2015

Conference Paper | Image classification using kernel flexible manifold embedding

2015 International Conference on Advances in Biomedical Engineering, ICABME 2015 - Conference Paper

El Traboulsi, Y.; Dornaika, F.; Assoum, A.; Daya, B.

Conference Paper | Multi-observation face recognition in videos based on label propagation

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops - Conference Paper

Raducanu, B.; Bosaghzadeh, A.; Dornaika, F.

Conference Paper | Exemplar selection using collaborative neighbor representation

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) - Conference Paper

Dornaika, F.; Aldine, I.K.; Cases, B.

Conference Paper | A flexible semi-supervised feature extraction method for image classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; El Traboulsi, Y.

Conference Paper | Developing vision-based and cooperative vehicular embedded systems for enhancing road monitoring services

Procedia Computer Science - Conference Paper

Hammoudi, K.; Benhabiles, H.; Kasraoui, M.; Ajam, N.; Dornaika, F.; Radhakrishnan, K.; Bandi, K.; Cai, Q.; Liu, S.

Conference Paper | Design, implementation and simulation of an experimental processing architecture for enhancing real-time video services by combining VANET, cloud computing system and onboard navigation system

PECCS 2015 - 5th International Conference on Pervasive and Embedded Computing and Communication Systems, Proceedings - Conference Paper

Hammoudi, K.; Ajam, N.; Kasraoui, M.; Dornaika, F.; Radhakrishnan, K.; Bandi, K.; Cai, Q.; Liu, S.

Conference Paper | Fine grained recognition of masonry walls for built heritage assessment

Proceedings of SPIE - The International Society for Optical Engineering - Conference Paper

Oses, N.; Dornaika, F.; Moujahid, A.

Conference Paper | Graph optimized Laplacian eigenmaps for face recognition

Proceedings of SPIE - The International Society for Optical Engineering - Conference Paper

Dornaika, F.; Assoum, A.; Ruichek, Y.

2014

Conference Paper | Locality constrained encoding graph construction and application to outdoor object classification

Proceedings - International Conference on Pattern Recognition - Conference Paper

Dornaika, F.; Bosaghzadeh, A.; Salmane, H.; Ruichek, Y.

Conference Paper | Instance selection using two phase collaborative neighbor representation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Aldine, I.K.

Conference Paper | Two subspace-based kernel local discriminant embedding

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Bosaghzadeh, A.

Conference Paper | Image classification via semi-supervised feature extraction with out-of-sample extension

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; El Traboulsi, Y.; Cases, B.; Assoum, A.

2013

Conference Paper | Efficient graph construction for label propagation based multi-observation face recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Bosaghzadeh, A.; Raducanu, B.

Conference Paper | Out-of-sample embedding for manifold learning applied to face recognition

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops - Conference Paper

Dornaika, F.; Raduncanu, B.

Conference Paper | Image-based delineation of built heritage masonry for automatic classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Oses, N.; Dornaika, F.

Conference Paper | On solving the small sample size problem for marginal fisher analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Bosagzadeh, A.

Conference Paper | Model-less 3D head pose estimation using self-optimized Local Discriminant Embedding

VISAPP 2013 - Proceedings of the International Conference on Computer Vision Theory and Applications - Conference Paper

Dornaika, F.; Bosaghzadeh, A.; Assoum, A.

Conference Paper | Supervised linear dimensionality reduction with robust margins for object recognition

Proceedings of SPIE - The International Society for Optical Engineering - Conference Paper

Dornaika, F.; Assoum, A.

Conference Paper | Adaptive two phase sparse representation classifier for face recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; El Traboulsi, Y.; Assoum, A.

2012

Conference Paper | Automatic dimensionality estimation for manifold learning through optimal feature selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Assoum, A.; Raducanu, B.

Conference Paper | Out-of-sample embedding by sparse representation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Raducanu, B.; Dornaika, F.

Conference Paper | Recovering quasi-real occlusion-free textures for facade models by exploiting fusion of image and laser street data and image inpainting

International Workshop on Image Analysis for Multimedia Interactive Services - Conference Paper

Hammoudi, K.; Dornaika, F.; Soheilian, B.; Vallet, B.; McDonald, J.; Paparoditis, N.

Conference Paper | Generalized local discriminant embedding for face recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Bosaghzadeh, A.

Conference Paper | Generating occlusion-free textures for virtual 3D model of urban facades by fusing image and laser street data

Proceedings - IEEE Virtual Reality - Conference Paper

Hammoudi, K.; Dornaika, F.; Soheilian, B.; Vallet, B.; Paparoditis, N.

Conference Paper | Appearance-based face recognition using a supervised manifold learning framework

Proceedings of IEEE Workshop on Applications of Computer Vision - Conference Paper

Raducanu, B.; Dornaika, F.

Conference Paper | A novel margin-based linear embedding technique for visual object recognition

Proceedings of SPIE - The International Society for Optical Engineering - Conference Paper

Dornaika, F.; Assoum, A.

Conference Paper | Recovering occlusion-free textured 3D maps of urban facades by a synergistic use of terrestrial images, 3D point clouds and area-based information

Procedia Engineering - Conference Paper

Hammoudi, K.; Dornaika, F.; Soheilian, B.; Vallet, B.; McDonald, J.; Paparoditis, N.

Conference Paper | Pose-invariant face recognition in videos for human-machine interaction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Raducanu, B.; Dornaika, F.

2011

Conference Paper | A discriminative non-linear manifold learning technique for face recognition

Communications in Computer and Information Science - Conference Paper

Raducanu, B.; Dornaika, F.

Conference Paper | Generating virtual 3D model of urban street facades by fusing terrestrial multi-source data

Proceedings - 2011 7th International Conference on Intelligent Environments, IE 2011 - Conference Paper

Hammoudi, K.; Dornaika, F.; Paparoditis, N.

Conference Paper | A parameter-free locality sensitive discriminant analysis and its application to coarse 3D head pose estimation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Bosaghzadeh, A.; Dornaika, F.

Conference Paper | Combining linear dimensionality reduction and locality preserving projections with feature selection for recognition tasks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Assoum, A.; Bosaghzadeh, A.

Conference Paper | Selective Locality Preserving Projections for face recognition

Proceedings of SPIE - The International Society for Optical Engineering - Conference Paper

Dornaika, F.; Assoum, A.

2010

Conference Paper | Estimating 3D polyhedral building models by registering aerial images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Hammoudi, K.

Conference Paper | Linear dimensionality reduction through eigenvector selection for object recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Dornaika, F.; Assoum, A.

Conference Paper | Efficient object detection and matching using feature classification

Proceedings - International Conference on Pattern Recognition - Conference Paper

Dornaika, F.; Chakik, F.

Conference Paper | Person-specific face shape estimation under varying head pose from single snapshots

Proceedings - International Conference on Pattern Recognition - Conference Paper

Dornaika, F.; Raducanu, B.

Conference Paper | Single snapshot-based 3D head pose initialization for tracking in a HRI scenario

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010 - Conference Paper

Dornaika, F.; Raducanu, B.

Conference Paper | Dynamic facial expression recognition using Laplacian Eigenmaps-based manifold learning

Proceedings - IEEE International Conference on Robotics and Automation - Conference Paper

Raducanu, B.; Dornaika, F.

Conference Paper | Extracting outlined planar clusters of street facades from 3D point clouds

CRV 2010 - 7th Canadian Conference on Computer and Robot Vision - Conference Paper

Hammoudi, K.; Dornaika, F.; Soheilian, B.; Paparoditis, N.

Conference Paper | Real-time object detection and tracking in video sequences

Proceedings of SPIE - The International Society for Optical Engineering - Conference Paper

Dornaika, F.; Chakik, F.

Conference Paper | Extracting wire-frame models of street facades from 3d point clouds and the corresponding cadastral map

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives - Conference Paper

Hammoudi, K.; Dornaika, F.; Soheilian, B.; Paparoditis, N.

2009

Conference Paper | Natural facial expression recognition using dynamic and static schemes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - Conference Paper

Raducanu, B.; Dornaika, F.

Conference Paper | Simultaneous 3D face pose and person-specific shape estimation from a single image using a holistic approach

2009 Workshop on Applications of Computer Vision, WACV 2009 - Conference Paper

Dornaika, F.; Raducanu, B.