Statistical Analysis of the Global Geodesic Function for 3D Object Classification. - Djamila Aouada; Shuo Feng; Hamid Krim (ICASSP (1), 2007)

3D Mixed Invariant and its Application on Object Classification. - Shuo Feng; Djamila Aouada; Hamid Krim; Irina A. Kogan (ICASSP (1), 2007)

3D object recognition using fully intrinsic skeletal graphs. - Djamila Aouada; Hamid Krim (Computational Imaging, 2008)

Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function. - Djamila Aouada; David W. Dreisigmeyer; Hamid Krim (CVPR Workshops, 2008)

Novel similarity invariant for space curves using turning angles and its application to object recognition. - Djamila Aouada; Hamid Krim (ICASSP, 2009)

Meaningful 3D shape partitioning using Morse functions. - Djamila Aouada; Hamid Krim (ICIP, 2009)

Mahalanobis-based Adaptive Nonlinear Dimension Reduction. - Djamila Aouada; Yuliy M. Baryshnikov; Hamid Krim (ICPR, 2010)

Squigraphs for Fine and Compact Modeling of 3-D Shapes. - Djamila Aouada; Hamid Krim (IEEE Trans. Image Process., 2010)

A new multi-lateral filter for real-time depth enhancement. - Frederic Garcia; Djamila Aouada; Bruno Mirbach; Thomas Solignac; Björn E. Ottersten (AVSS, 2011)

Real-time hybrid ToF multi-camera rig fusion system for depth map enhancement. - Frederic Garcia; Djamila Aouada; Bruno Mirbach; Thomas Solignac; Björn E. Ottersten (CVPR Workshops, 2011)

Spiral colour model: Reduction from 3-D to 2-D. - Frederic Garcia; Djamila Aouada; Bruno Mirbach; Björn E. Ottersten (ICASSP, 2011)

A new 1-D colour model and its application to image filtering. - Frederic Garcia; Djamila Aouada; Bruno Mirbach; Björn E. Ottersten (ISPA, 2011)

Who clicks there!: anonymising the photographer in a camera saturated society. - Shishir Nagaraja; Péter Schaffer; Djamila Aouada (WPES, 2011)

Who clicks there!: Anonymizing the photographer in a camera saturated society - Péter Schaffer; Djamila Aouada; Shishir Nagaraja (CoRR, 2011)

Depth Enhancement by Fusion for Passive and Active Sensing. - Frederic Garcia; Djamila Aouada; Hashim Kemal Abdella; Thomas Solignac; Bruno Mirbach; Björn E. Ottersten (ECCV Workshops (3), 2012)

Spatio-temporal ToF data enhancement by fusion. - Frederic Garcia; Djamila Aouada; Bruno Mirbach; Björn E. Ottersten (ICIP, 2012)

Bilateral filter evaluation based on exponential kernels. - Kassem Al Ismaeil; Djamila Aouada; Björn E. Ottersten (ICPR, 2012)

Real-Time Distance-Dependent Mapping for a Hybrid ToF Multi-Camera Rig. - Frederic Garcia; Djamila Aouada; Bruno Mirbach; Björn E. Ottersten (IEEE J. Sel. Top. Signal Process., 2012)

Depth Super-Resolution by Enhanced Shift and Add. - Kassem Al Ismaeil; Djamila Aouada; Bruno Mirbach; Björn E. Ottersten (CAIP (2), 2013)

Dynamic super resolution of depth sequences with non-rigid motions. - Kassem Al Ismaeil; Djamila Aouada; Bruno Mirbach; Björn E. Ottersten (ICIP, 2013)

Cost Sensitive Credit Card Fraud Detection Using Bayes Minimum Risk. - Alejandro Correa Bahnsen; Aleksandar Stojanovic 002; Djamila Aouada; Björn E. Ottersten (ICMLA (1), 2013)

Multi-frame super-resolution by enhanced shift & add. - Kassem Al Ismaeil; Djamila Aouada; Björn E. Ottersten; Bruno Mirbach (ISPA, 2013)

Real-time depth enhancement by fusion for RGB-D cameras. - Frederic Garcia; Djamila Aouada; Thomas Solignac; Bruno Mirbach; Björn E. Ottersten (IET Comput. Vis., 2013)

Kinect Deform: Enhanced 3D Reconstruction of Non-rigidly Deforming Objects. - Hassan Afzal; Kassem Al Ismaeil; Djamila Aouada; François Destelle; Bruno Mirbach; Björn E. Ottersten (3DV (Workshops), 2014)

Surface UP-SR for an improved face recognition using low resolution depth cameras. - Djamila Aouada; Kassem Al Ismaeil; Kedija Kedir Idris; Björn E. Ottersten (AVSS, 2014)

SPN2: Single-sided privacy preserving nearest neighbor and its application to face recognition. - Djamila Aouada; Dalia Khader (AVSS, 2014)

Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring. - Alejandro Correa Bahnsen; Djamila Aouada; Björn E. Ottersten (ICMLA, 2014)

RGB-D Multi-view System Calibration for Full 3D Scene Reconstruction. - Hassan Afzal; Djamila Aouada; David Font; Bruno Mirbach; Björn E. Ottersten (ICPR, 2014)

Improving Credit Card Fraud Detection with Calibrated Probabilities. - Alejandro Correa Bahnsen; Aleksandar Stojanovic 002; Djamila Aouada; Björn E. Ottersten (SDM, 2014)

View-Independent Enhanced 3D Reconstruction of Non-rigidly Deforming Objects. - Hassan Afzal; Djamila Aouada; François Destelle; Bruno Mirbach; Björn E. Ottersten (CAIP (2), 2015)

Real-time non-rigid multi-frame depth video super-resolution. - Kassem Al Ismaeil; Djamila Aouada; Thomas Solignac; Bruno Mirbach; Björn E. Ottersten (CVPR Workshops, 2015)

Template-based statistical shape modelling on deformation space. - Girum G. Demisse; Djamila Aouada; Björn E. Ottersten (ICIP, 2015)

Detecting Credit Card Fraud Using Periodic Features. - Alejandro Correa Bahnsen; Djamila Aouada; Aleksandar Stojanovic 002; Björn E. Ottersten (ICMLA, 2015)

Patch-based Statistical Performance Analysis of Upsampling for Precise Super-Resolution. - Djamila Aouada; Kassem Al Ismaeil; Björn E. Ottersten (VISAPP (1), 2015)

Ensemble of Example-Dependent Cost-Sensitive Decision Trees. - Alejandro Correa Bahnsen; Djamila Aouada; Björn E. Ottersten (CoRR, 2015)

A novel cost-sensitive framework for customer churn predictive modeling. - Alejandro Correa Bahnsen; Djamila Aouada; Björn E. Ottersten (Decis. Anal., 2015)

Example-dependent cost-sensitive decision trees. - Alejandro Correa Bahnsen; Djamila Aouada; Björn E. Ottersten (Expert Syst. Appl., 2015)

Unified multi-lateral filter for real-time depth map enhancement. - Frederic Garcia; Djamila Aouada; Bruno Mirbach; Thomas Solignac; Björn E. Ottersten (Image Vis. Comput., 2015)

Similarity Metric for Curved Shapes in Euclidean Space. - Girum G. Demisse; Djamila Aouada; Björn E. Ottersten (CVPR, 2016)

Visual and Human-Interpretable Feedback for Assisting Physical Activity. - Michel Antunes; Renato Baptista; Girum G. Demisse; Djamila Aouada; Björn E. Ottersten (ECCV Workshops (2), 2016)

RGB-D and Thermal Sensor Fusion - Application in Person Tracking. - Ignacio Rocco Spremolla; Michel Antunes; Djamila Aouada; Björn E. Ottersten (VISIGRAPP (3: VISAPP), 2016)

A revisit to human action recognition from depth sequences: Guided SVM-sampling for joint selection. - Michel Antunes; Djamila Aouada; Björn E. Ottersten (WACV, 2016)

Enhancement of dynamic depth scenes by upsampling for precise super-resolution (UP-SR). - Kassem Al Ismaeil; Djamila Aouada; Bruno Mirbach; Björn E. Ottersten (Comput. Vis. Image Underst., 2016)

Feature engineering strategies for credit card fraud detection. - Alejandro Correa Bahnsen; Djamila Aouada; Aleksandar Stojanovic 002; Björn E. Ottersten (Expert Syst. Appl., 2016)

Unsupervised Vanishing Point Detection and Camera Calibration from a Single Manhattan Image with Radial Distortion. - Michel Antunes; João P. Barreto 001; Djamila Aouada; Björn E. Ottersten (CVPR, 2017)

STARR - Decision SupporT and self-mAnagement system for stRoke survivoRs Vision based Rehabilitation System. - Abd El Rahman Shabayek; Renato Baptista; Konstantinos Papadopoulos 002; Girum G. Demisse; Oyebade K. Oyedotun; Michel Antunes; Djamila Aouada; Björn E. Ottersten; Margarita Anastassova; Mehdi Boukallel; Sabrina A. Panëels; Gary Randall; et al. (EPS, 2017)

Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations. - Oyebade K. Oyedotun; Girum G. Demisse; Abd El Rahman Shabayek; Djamila Aouada; Björn E. Ottersten (ICCV Workshops, 2017)

Enhanced trajectory-based action recognition using human pose. - Konstantinos Papadopoulos 002; Michel Antunes; Djamila Aouada; Björn E. Ottersten (ICIP, 2017)

Deformation transfer of 3D human shapes and poses on manifolds. - Abd El Rahman Shabayek; Djamila Aouada; Alexandre Saint 001; Björn E. Ottersten (ICIP, 2017)

Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections. - Oyebade K. Oyedotun; Abd El Rahman Shabayek; Djamila Aouada; Björn E. Ottersten (ICONIP (2), 2017)

Video-based Feedback for Assisting Physical Activity. - Renato Baptista; Michel Antunes; Djamila Aouada; Björn E. Ottersten (VISIGRAPP (5: VISAPP), 2017)

Real-Time Enhancement of Dynamic Depth Videos with Non-Rigid Deformations. - Kassem Al Ismaeil; Djamila Aouada; Thomas Solignac; Bruno Mirbach; Björn E. Ottersten (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

3DBodyTex: Textured 3D Body Dataset. - Alexandre Saint 001; Eman Ahmed; Abd El Rahman Shabayek; Kseniya Cherenkova; Gleb Gusev; Djamila Aouada; Björn E. Ottersten (3DV, 2018)

Pose Encoding for Robust Skeleton-Based Action Recognition. - Girum G. Demisse; Konstantinos Papadopoulos 002; Djamila Aouada; Björn E. Ottersten (CVPR Workshops, 2018)

Highway Network Block With Gates Constraints for Training Very Deep Networks. - Oyebade K. Oyedotun; Abd El Rahman Shabayek; Djamila Aouada; Björn E. Ottersten (CVPR Workshops, 2018)

Improving the Capacity of Very Deep Networks with Maxout Units. - Oyebade K. Oyedotun; Abd El Rahman Shabayek; Djamila Aouada; Björn E. Ottersten (ICASSP, 2018)

A Revisit of Action Detection Using Improved Trajectories. - Konstantinos Papadopoulos 002; Michel Antunes; Djamila Aouada; Björn E. Ottersten (ICASSP, 2018)

Deformation-Based Abnormal Motion Detection using 3D Skeletons. - Renato Baptista; Girum G. Demisse; Djamila Aouada; Björn E. Ottersten (IPTA, 2018)

Anticipating Suspicious Actions using a Small Dataset of Action Templates. - Renato Baptista; Michel Antunes; Djamila Aouada; Björn E. Ottersten (VISIGRAPP (5: VISAPP), 2018)

Deep Learning Advances on Different 3D Data Representations: A Survey. - Eman Ahmed; Alexandre Saint 001; Abd El Rahman Shabayek; Kseniya Cherenkova; Rig Das; Gleb Gusev; Djamila Aouada; Björn E. Ottersten (CoRR, 2018)

Deformation Based Curved Shape Representation. - Girum G. Demisse; Djamila Aouada; Björn E. Ottersten (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Full 3D Reconstruction of Non-Rigidly Deforming Objects. - Hassan Afzal; Djamila Aouada; Bruno Mirbach; Björn E. Ottersten (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Deformation-Based 3D Facial Expression Representation. - Girum G. Demisse; Djamila Aouada; Björn E. Ottersten (ACM Trans. Multim. Comput. Commun. Appl., 2018)

Two-Stage RGB-Based Action Detection Using Augmented 3D Poses. - Konstantinos Papadopoulos 002; Enjie Ghorbel; Renato Baptista; Djamila Aouada; Björn E. Ottersten (CAIP (1), 2019)

View-invariant Action Recognition from RGB Data via 3D Pose Estimation. - Renato Baptista; Enjie Ghorbel; Konstantinos Papadopoulos 002; Girum G. Demisse; Djamila Aouada; Björn E. Ottersten (ICASSP, 2019)

Learning to Fuse Latent Representations for Multimodal Data. - Oyebade K. Oyedotun; Djamila Aouada; Björn E. Ottersten (ICASSP, 2019)

Bodyfitr: Robust Automatic 3D Human Body Fitting. - Alexandre Saint 001; Abd El Rahman Shabayek; Kseniya Cherenkova; Gleb Gusev; Djamila Aouada; Björn E. Ottersten (ICIP, 2019)

A View-invariant Framework for Fast Skeleton-based Action Recognition using a Single RGB Camera. - Enjie Ghorbel; Konstantinos Papadopoulos 002; Renato Baptista; Himadri Pathak; Girum G. Demisse; Djamila Aouada; Björn E. Ottersten (VISIGRAPP (5: VISAPP), 2019)

Home self-training: Visual feedback for assisting physical activity for stroke survivors. - Renato Baptista; Enjie Ghorbel; Abd El Rahman Shabayek; Florent Moissenet; Djamila Aouada; Alice Douchet; Mathilde André; Julien Pager; Stéphane Bouilland (Comput. Methods Programs Biomed., 2019)

Bi-objective Framework for Sensor Fusion in RGB-D Multi-View Systems: Applications in Calibration. - Hassan Afzal; Djamila Aouada; Michel Antunes; David Fofi; Bruno Mirbach; Björn E. Ottersten (CoRR, 2019)

Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition. - Konstantinos Papadopoulos 002; Enjie Ghorbel; Djamila Aouada; Björn E. Ottersten (CoRR, 2019)

Localized Trajectories for 2D and 3D Action Recognition. - Konstantinos Papadopoulos 002; Girum G. Demisse; Enjie Ghorbel; Michel Antunes; Djamila Aouada; Björn E. Ottersten (Sensors, 2019)

3DBooSTeR: 3D Body Shape and Texture Recovery. - Alexandre Saint 001; Anis Kacem 001; Kseniya Cherenkova; Djamila Aouada (ECCV Workshops (2), 2020)

SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results. - Alexandre Saint 001; Anis Kacem 001; Kseniya Cherenkova; Konstantinos Papadopoulos 002; Julian Chibane; Gerard Pons-Moll; Gleb Gusev; David Fofi; Djamila Aouada; Björn E. Ottersten (ECCV Workshops (2), 2020)

DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB Camera. - Konstantinos Papadopoulos 002; Enjie Ghorbel; Oyebade K. Oyedotun; Djamila Aouada; Björn E. Ottersten (FG, 2020)

Towards Automatic CAD Modeling from 3D Scan Sketch based Representation. - Abd El Rahman Shabayek; Djamila Aouada; Kseniya Cherenkova; Gleb Gusev (VISIGRAPP (1: GRAPP), 2020)

3d Deformation Signature for Dynamic Face Recognition. - Abd El Rahman Shabayek; Djamila Aouada; Kseniya Cherenkova; Gleb Gusev; Björn E. Ottersten (ICASSP, 2020)

Pvdeconv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D. - Kseniya Cherenkova; Djamila Aouada; Gleb Gusev (ICIP, 2020)

Going Deeper With Neural Networks Without Skip Connections. - Oyebade K. Oyedotun; Abd El Rahman Shabayek; Djamila Aouada; Björn E. Ottersten (ICIP, 2020)

3D Sparse Deformation Signature for Dynamic Face Recognition. - Abd El Rahman Shabayek; Djamila Aouada; Kseniya Cherenkova; Gleb Gusev (ICIP, 2020)

Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work? - Oyebade K. Oyedotun; Djamila Aouada (ICONIP (3), 2020)

Space-Time Triplet Loss Network for Dynamic 3D Face Verification. - Anis Kacem 001; Hamza Ben Abdesslam; Kseniya Cherenkova; Djamila Aouada (ICPR Workshops (1), 2020)

Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition. - Konstantinos Papadopoulos 002; Enjie Ghorbel; Djamila Aouada; Björn E. Ottersten (ICPR, 2020)

Towards Generalization of 3D Human Pose Estimation in the Wild. - Renato Baptista; Alexandre Saint 001; Kassem Al Ismaeil; Djamila Aouada (ICPR Workshops (1), 2020)

Revisiting the Training of Very Deep Neural Networks without Skip Connections. - Oyebade K. Oyedotun; Abd El Rahman Shabayek; Djamila Aouada; Björn E. Ottersten (ICPR, 2020)

Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO. - Oyebade K. Oyedotun; Djamila Aouada; Björn E. Ottersten (WACV, 2020)

Improved Highway Network Block for Training Very Deep Neural Networks. - Oyebade K. Oyedotun; Abd El Rahman Shabayek; Djamila Aouada; Björn E. Ottersten (IEEE Access, 2020)

Fast Adaptive Reparametrization (FAR) With Application to Human Action Recognition. - Enjie Ghorbel; Girum G. Demisse; Djamila Aouada; Björn E. Ottersten (IEEE Signal Process. Lett., 2020)

LSPnet: A 2D Localization-Oriented Spacecraft Pose Estimation Neural Network. - Albert García; Mohamed Adel Musallam; Vincent Gaudillière; Enjie Ghorbel; Kassem Al Ismaeil; Marcos Damian Perez; Djamila Aouada (CVPR Workshops, 2021)

Leveraging Temporal Information for 3D Trajectory Estimation of Space Objects. - Mohamed Adel Musallam; Miguel Ortiz del Castillo; Kassem Al Ismaeil; Marcos Damian Perez; Djamila Aouada (ICCVW, 2021)

Explaining Defect Detection with Saliency Maps. - Joe Lorentz; Thomas Hartmann 001; Assaad Moawad; François Fouquet; Djamila Aouada (IEA/AIE (2), 2021)

Leveraging High-Frequency Components for Deepfake Detection. - Nesryne Mejri; Konstantinos Papadopoulos 002; Djamila Aouada (MMSP, 2021)

Dense and Sparse 3D Deformation Signatures for 3D Dynamic Face Recognition. - Abd El Rahman Shabayek; Djamila Aouada (IEEE Access, 2021)

Deep network compression with teacher latent subspace learning and LASSO. - Oyebade K. Oyedotun; Abd El Rahman Shabayek; Djamila Aouada; Björn E. Ottersten (Appl. Intell., 2021)

SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment. - Mohamed Adel Musallam; Kassem Al Ismaeil; Oyebade K. Oyedotun; Marcos Damian Perez; Michel Poucet; Djamila Aouada (CoRR, 2021)

Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition. - Konstantinos Papadopoulos 002; Anis Kacem 001; Abd El Rahman Shabayek; Djamila Aouada (CoRR, 2021)

Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation. - Anis Kacem 001; Kseniya Cherenkova; Djamila Aouada (CoRR, 2021)

Training very deep neural networks: Rethinking the role of skip connections. - Oyebade K. Oyedotun; Kassem Al Ismaeil; Djamila Aouada (Neurocomputing, 2021)

CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations. - Elona Dupont; Kseniya Cherenkova; Anis Kacem 001; Sk Aziz Ali; Ilya Arzhannikov; Gleb Gusev; Djamila Aouada (3DV, 2022)

Profiling the real world potential of neural network compression. - Joe Lorentz; Assaad Moawad; Thomas Hartmann 001; Djamila Aouada (COINS, 2022)

Leveraging Equivariant Features for Absolute Pose Regression. - Mohamed Adel Musallam; Vincent Gaudillière; Miguel Ortiz del Castillo; Kassem Al Ismaeil; Djamila Aouada (CVPR, 2022)

TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network. - Ahmet Serdar Karadeniz; Sk Aziz Ali; Anis Kacem 001; Elona Dupont; Djamila Aouada (ECCV Workshops (5), 2022)

CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft. - Mohamed Adel Musallam; Arunkumar Rathinam; Vincent Gaudillière; Miguel Ortiz del Castillo; Djamila Aouada (ECCV Workshops (1), 2022)

A Closer Look at Autoencoders for Unsupervised Anomaly Detection. - Oyebade K. Oyedotun; Djamila Aouada (ICASSP, 2022)

Multi Label Image Classification using Adaptive Graph Convolutional Networks (ML-AGCN). - Inder Pal Singh; Enjie Ghorbel; Oyebade K. Oyedotun; Djamila Aouada (ICIP, 2022)

Lessons from a Space Lab - An Image Acquisition Perspective. - Leo Pauly; Michele Lynn Jamrozik; Miguel Ortiz del Castillo; Olivia Borgue; Inder Pal Singh; Mohatashem Reyaz Makhdoomi; Olga-Orsalia Christidi-Loumpasefski; Vincent Gaudillière; Carol Martínez; Arunkumar Rathinam; Andreas Hein 003; Miguel A. Olivares-Méndez; et al. (CoRR, 2022)

Industrial defect detection on the edge with deep learning over scarcely labeled and extremely imbalanced data. - Joe Lorentz; Thomas Hartmann 001; Assaad Moawad; Djamila Aouada (COINS, 2023)

SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes. - Kseniya Cherenkova; Elona Dupont; Anis Kacem 001; Ilya Arzhannikov; Gleb Gusev; Djamila Aouada (CVPR Workshops, 2023)

UNTAG: Learning Generic Features for Unsupervised Type-Agnostic Deepfake Detection. - Nesryne Mejri; Enjie Ghorbel; Djamila Aouada (ICASSP, 2023)

DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport. - Sk Aziz Ali; Djamila Aouada; Gerd Reis; Didier Stricker (ICCV (Workshops), 2023)

SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines. - Dimitrios Mallis; Sk Aziz Ali; Elona Dupont; Kseniya Cherenkova; Ahmet Serdar Karadeniz; Mohammad Sadil Khan; Anis Kacem 001; Gleb Gusev; Djamila Aouada (ICCV (Workshops), 2023)

3D-Aware Object Localization using Gaussian Implicit Occupancy Function. - Vincent Gaudillière; Leo Pauly; Arunkumar Rathinam; Albert García Sanchez; Mohamed Adel Musallam; Djamila Aouada (IROS, 2023)

Multi-Label Deepfake Classification. - Inder Pal Singh; Nesryne Mejri; Van Dat Nguyen; Enjie Ghorbel; Djamila Aouada (MMSP, 2023)

You Can Dance! Generating Music-Conditioned Dances on Real 3D Scans. - Elona Dupont; Inder Pal Singh; Laura Lopez-Fuentes; Sk Aziz Ali; Anis Kacem 001; Enjie Ghorbel; Djamila Aouada (VISIGRAPP (4: VISAPP), 2023)

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects. - Leo Pauly; Wassim Rharbaoui; Carl Shneider; Arunkumar Rathinam; Vincent Gaudillière; Djamila Aouada (CoRR, 2023)

Impact of Disentanglement on Pruning Neural Networks. - Carl Shneider; Peyman Rostami; Anis Kacem 001; Nilotpal Sinha; Abd El Rahman Shabayek; Djamila Aouada (CoRR, 2023)

Space Debris: Are Deep Learning-based Image Enhancements part of the Solution? - Michele Lynn Jamrozik; Vincent Gaudillière; Mohamed Adel Musallam; Djamila Aouada (CoRR, 2023)

A new perspective for understanding generalization gap of deep neural networks trained with large batch sizes. - Oyebade K. Oyedotun; Konstantinos Papadopoulos 002; Djamila Aouada (Appl. Intell., 2023)

CalcGraph: taming the high costs of deep learning using models. - Joe Lorentz; Thomas Hartmann 001; Assaad Moawad; François Fouquet; Djamila Aouada; Yves Le Traon (Softw. Syst. Model., 2023)

Why Is Everyone Training Very Deep Neural Network With Skip Connections? - Oyebade K. Oyedotun; Kassem Al Ismaeil; Djamila Aouada (IEEE Trans. Neural Networks Learn. Syst., 2023)

Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies. - Marcella Astrid; Enjie Ghorbel; Djamila Aouada (BMVC, 2024)

DAVINCI: A Single-Stage Architecture for Constrained CAD Sketch Inference. - Ahmet Serdar Karadeniz; Dimitrios Mallis; Nesryne Mejri; Kseniya Cherenkova; Anis Kacem 001; Djamila Aouada (BMVC, 2024)

How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks? - Jose Sosa; Mohamed Aloulou; Danila Rukhovich; Rim Sleimi; Boonyarit Changaival; Anis Kacem 001; Djamila Aouada (BMVC Workshops, 2024)

CAD-SIGNet: CAD Language Inference from Point Clouds Using Layer-Wise Sketch Instance Guided Attention. - Mohammad Sadil Khan; Elona Dupont; Sk Aziz Ali; Kseniya Cherenkova; Anis Kacem 001; Djamila Aouada (CVPR, 2024)

LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection. - Dat Nguyen; Nesryne Mejri; Inder Pal Singh; Polina Kuleshova; Marcella Astrid; Anis Kacem 001; Enjie Ghorbel; Djamila Aouada (CVPR, 2024)

Multi-Objective Hardware Aware Neural Architecture Search using Hardware Cost Diversity. - Nilotpal Sinha; Peyman Rostami; Abd El Rahman Shabayek; Anis Kacem 001; Djamila Aouada (CVPR Workshops, 2024)

TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds. - Elona Dupont; Kseniya Cherenkova; Dimitrios Mallis; Gleb Gusev; Anis Kacem 001; Djamila Aouada (ECCV (61), 2024)

Targeted Augmented Data for Audio Deepfake Detection. - Marcella Astrid; Enjie Ghorbel; Djamila Aouada (EUSIPCO, 2024)

Statistics-Aware Audio-Visual Deepfake Detector. - Marcella Astrid; Enjie Ghorbel; Djamila Aouada (ICIP, 2024)

Facial Region-Based Ensembling for Unsupervised Temporal Deepfake Localization. - Nesryne Mejri; Pavel Chernakov; Polina Kuleshova; Enjie Ghorbel; Djamila Aouada (ICME, 2024)

SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing. - Arunkumar Rathinam; Haytam Qadadri; Djamila Aouada (ICRA, 2024)

SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision. - Kseniya Cherenkova; Elona Dupont; Anis Kacem 001; Gleb Gusev; Djamila Aouada (NeurIPS, 2024)

A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning. - Niki Maria Foteinopoulou; Enjie Ghorbel; Djamila Aouada (NeurIPS, 2024)

Self-Supervised Learning for Place Representation Generalization across Appearance Changes. - Mohamed Adel Musallam; Vincent Gaudillière; Djamila Aouada (WACV, 2024)

Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification. - Inder Pal Singh; Enjie Ghorbel; Anis Kacem 001; Arunkumar Rathinam; Djamila Aouada (WACV, 2024)

Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric. - Nilotpal Sinha; Abd El Rahman Shabayek; Anis Kacem 001; Peyman Rostami; Carl Shneider; Djamila Aouada (WACV, 2024)

LAA-Net: Localized Artifact Attention Network for High-Quality Deepfakes Detection. - Dat Nguyen; Nesryne Mejri; Inder Pal Singh; Polina Kuleshova; Marcella Astrid; Anis Kacem 001; Enjie Ghorbel; Djamila Aouada (CoRR, 2024)

A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning. - Niki Maria Foteinopoulou; Enjie Ghorbel; Djamila Aouada (CoRR, 2024)

FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection. - Dat Nguyen; Marcella Astrid; Enjie Ghorbel; Djamila Aouada (CoRR, 2024)

CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solvers? - Dimitrios Mallis; Ahmet Serdar Karadeniz; Sebastian Cavada; Danila Rukhovich; Niki Maria Foteinopoulou; Kseniya Cherenkova; Anis Kacem 001; Djamila Aouada (CoRR, 2024)

CAD-Recode: Reverse Engineering CAD Code from Point Clouds. - Danila Rukhovich; Elona Dupont; Dimitrios Mallis; Kseniya Cherenkova; Anis Kacem 001; Djamila Aouada (CoRR, 2024)

Multi-label image classification using adaptive graph convolutional networks: From a single domain to multiple domains. - Inder Pal Singh; Enjie Ghorbel; Oyebade Kayode Oyedotun; Djamila Aouada (Comput. Vis. Image Underst., 2024)

Unsupervised anomaly detection in time-series: An extensive evaluation and analysis of state-of-the-art methods. - Nesryne Mejri; Laura Lopez-Fuentes; Kankana Roy; Pavel Chernakov; Enjie Ghorbel; Djamila Aouada (Expert Syst. Appl., 2024)

DermSynth3D: Synthesis of in-the-wild annotated dermatology images. - Ashish Sinha; Jeremy Kawahara; Arezou Pakzad; Kumar Abhishek 001; Matthieu Ruthven; Enjie Ghorbel; Anis Kacem 001; Djamila Aouada; Ghassan Hamarneh (Medical Image Anal., 2024)

Exploiting autoencoder's weakness to generate pseudo anomalies. - Marcella Astrid; Muhammad Zaigham Zaheer; Djamila Aouada; Seung-Ik Lee (Neural Comput. Appl., 2024)

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies. - Marcella Astrid; Enjie Ghorbel; Djamila Aouada (ICASSP, 2025)

Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation. - Romain Hermary; Vincent Gaudillière; Abd El Rahman Shabayek; Djamila Aouada (WACV, 2025)

PICASSO: A Feed-Forward Framework for Parametric Inference of CAD Sketches via Rendering Self-Supervision. - Ahmet Serdar Karadeniz; Dimitrios Mallis; Nesryne Mejri; Kseniya Cherenkova; Anis Kacem 001; Djamila Aouada (WACV, 2025)

Information Theoretic Pruning of Coupled Channels in Deep Neural Networks. - Peyman Rostami; Nilotpal Sinha; Nidhal Eddine Chenni; Anis Kacem 001; Abd El Rahman Shabayek; Carl Shneider; Djamila Aouada (WACV, 2025)

Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video Detection. - Dat Nguyen; Marcella Astrid; Anis Kacem 001; Enjie Ghorbel; Djamila Aouada (CoRR, 2025)

Hybrid Attention for Robust RGB-T Pedestrian Detection in Real-World Conditions. - Arunkumar Rathinam; Leo Pauly; Abd El Rahman Shabayek; Wassim Rharbaoui; Anis Kacem 001; Vincent Gaudillière; Djamila Aouada (IEEE Robotics Autom. Lett., 2025)

When Unsupervised Domain Adaptation meets One-class Anomaly Detection: Addressing the Two-fold Unsupervised Curse by Leveraging Anomaly Scarcity. - Nesryne Mejri; Enjie Ghorbel; Anis Kacem 001; Pavel Chernakov; Niki Maria Foteinopoulou; Djamila Aouada (CoRR, 2025)

Uncertainty-Aware Knowledge Distillation for Compact and Efficient 6DoF Pose Estimation. - Nassim Ali Ousalah; Anis Kacem 001; Enjie Ghorbel; Emmanuel Koumandakis; Djamila Aouada (CoRR, 2025)

Domain Adaptation for Multi-label Image Classification: a Discriminator-free Approach. - Inder Pal Singh; Enjie Ghorbel; Anis Kacem 001; Djamila Aouada (CoRR, 2025)

MultiMAE Meets Earth Observation: Pre-training Multi-modal Multi-task Masked Autoencoders for Earth Observation Tasks. - Jose Sosa; Danila Rukhovich; Anis Kacem 001; Djamila Aouada (CoRR, 2025)

Zero-Shot Anomaly Detection in Battery Thermal Images Using Visual Question Answering with Prior Knowledge. - Marcella Astrid; Abd El Rahman Shabayek; Djamila Aouada (CoRR, 2025)

FPG-NAS: FLOPs-Aware Gated Differentiable Neural Architecture Search for Efficient 6DoF Pose Estimation. - Nassim Ali Ousalah; Peyman Rostami; Anis Kacem 001; Enjie Ghorbel; Emmanuel Koumandakis; Djamila Aouada (CoRR, 2025)