2024

1. N. Foteinopoulou, E. Ghorbel, D. Aouada (2024). "A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning," Neural Information Processing Systems (NeurIPS). Cite
2. MS. Khan, E. Dupont, Sk. Ali, K. Cherenkova, A. Kacem, D. Aouada (2024). "CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Cite
3. A. Sinha, J. Kawahara, A. Pakzad, K. Abhishek, M. Ruthven, E. Ghorbel, A. Kacem, D. Aouada, G. Hamarneh (2024). "DermSynth3D: Synthesis of in-the-wild annotated dermatology images," Medical Image Analysis, pp. 103145. DOI Cite
4. M. Astrid, E. Ghorbel, D. Aouada (2024). "Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies," British Machine Vision Conference (BMVC). Cite
5. IP. Singh, E. Ghorbel, A. Kacem, A. Rathinam, D. Aouada (2024). "Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). Cite
6. N. Mejri, P. Chernakov, P. Kuleshova, E. Ghorbel, D. Aouada (2024). "Facial Region-Based Ensembling for Unsupervised Temporal Deepfake Localization," IEEE International Conference on Multimedia and Expo (ICME). Cite
7. N. Sinha, A. Shabayek, A. Kacem, P. Rostami, C. Shneider, D. Aouada (2024). "Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). Cite
8. J. Sosa, M. Aloulou, D. Rukhovich, R. Sleimi, B. Changaival, A. Kacem (2024). "How Effective is Pre-training of Large Masked Autoencoders for Downstream Earth Observation Tasks?," British Machine Vision Conference (BMVC). Cite
9. D. Nguyen, N. Mejri, IP. Singh, P. Kuleshova, M. Astrid, A. Kacem, D. Aouada (2024). "LAA-Net: Localized Artifact Attention Network for High-Quality Deepfakes Detection," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Cite
10. J. Thoemel, K. Kanavouras, M. Sachidanand, A. Hein, MO. Castillo, L. Pauly, A. Rathinam, D. Aouada (2024). "Lean Demonstration of On-Board Thermal Anomaly Detection Using Machine Learning," Aerospace 2024. DOI Cite
11. IP. Singh, E. Ghorbel, O. Oyedotun, D. Aouada (2024). "Multi-label image classification using adaptive graph convolutional networks: from a single domain to multiple domains," Computer Vision and Image Understanding, pp. 104062. DOI Cite
12. A. Karadeniz, D. Mallis, N. Mejri, K. Cherenkova, A. Kacem, D. Aouada (2024). "PICASSO: A Feed-Forward Framework for Parametric Inference of CAD Sketches via Rendering Self-Supervision," British Machine Vision Conference (BMVC). Cite
13. MA. Ali, V. Gaudillière, D. Aouada (2024). "Self-Supervised Learning for Place Representation Generalization across Appearance Changes," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). Cite
14. A. Rathinam, H. Qadari, D. Aouada (2024). "SPADES: A Realistic Spacecraft Pose Estimation Dataset using Event Sensing," IEEE International Conference on Robotics and Automation (ICRA). Cite
15. K. Cherenkova, E. Dupont, A. Kacem, G, Gusev, D. Aouada (2024). "SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision," Neural Information Processing Systems (NeurIPS). Cite
16. M. Astrid, E. Ghorbel, D. Aouada (2024). "Statistics-Aware Audio-Visual Deepfake Detector," IEEE International Conference on Image Processing (ICIP). Cite
17. E. Dupont, K Cherenkova, D. Mallis, A. Kacem, D. Aouada (2024). "TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds," European Conference on Computer Vision (ECCV). Cite
18. N. Mejri, L. Lopez-Fuentes, K. Roy, P. Chernakov, E. Ghorbel, D. Aouada (2024). "Unsupervised anomaly detection in time-series: An extensive evaluation and analysis of state-of-the-art methods," Expert Systems with Applications, pp. 124922. DOI Cite

2023

1. V. Gaudillière, L. Pauly, A. Rathinam, A. Garcia Sanchez, MA. Musallam, D. Aouada (2023). "3D-Aware Object Localization Using Gaussian Implicit Occupancy Function," 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Cite
2. L. Pauly, W. Rharbaoui, C. Shneider, A. Rathinam, V. Gaudillière, D. Aouada (2023). "A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State,Limitations and Prospects," Acta Astronautica. DOI Cite
3. Sk. Ali, D Aouada, G Reis, D Stricker (2023). "DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport," Proceedings of the International Conference in Computer Vision Workshops (ICCVW’23). Cite
4. L. Pauly, M. L. Jamrozik, MO. Castillo, O. Borgue, IP. Singh, MR. Makhdoomi, O. Christidi-Loumpasefski, V. Gaudillière, C. Martinez, A. Rathinam, A. Hein, M. Olivares-Mendez, D. Aouada (2023). "Lessons from a Space Lab: An Image Acquisition Perspective," Hindawi. DOI Cite
5. IP. Singh, N. Mejri, V. D. Nguyen, E. Ghorbel, D. Aouada (2023). "Multi-Label DeepFake Classification," IEEE 25th International Workshop on Multimedia Signal Processing (MMSP). Cite
6. K. Cherenkova, E. Dupont, A. Kacem, I. Arzhannikov, G. Gusev, D. Aouada (2023). "SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes," IEEE Workshops of the Conference on Computer Vision and Pattern Recognition (CVPRW). Cite
7. D. Mallis, Sk. Ali, E. Dupont, K. Cherenkova, A. Karadeniz, MS. Khan, A. Kacem, G. Gusev, D. Aouada (2023). "SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics and Baselines," Proceedings of the International Conference in Computer Vision Workshops (ICCVW’23). Cite
8. N. Mejri, E. Ghorbel, D. Aouada (2023). "UNTAG: Learning Generic Features for Unsupervised Type-Agnostic Deepfake Detection," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Cite
9. E. Dupont, IP. Singh, L. Fuentes, Sk. Ali, A. Kacem, E. Ghorbel, D. Aouada (2023). "You Can Dance! Generating Music-Conditioned Dances on Real 3D Scans," Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP). Cite

2022

1. O. Oyedotun, D. Aouada (2022). "A closer look at autoencoders for unsupervised anomaly detection," IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). Cite
2. E. Dupont, K. Cherenkova, A. Kacem, Sk. Ali, I. Arzhannikov, G. Gusev, D. Aouada (2022). "CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations," IEEE International Conference on 3D Vision (3DV). Cite
3. J. Lorentz, T. Hartmann, A. Moawad, F. Fouquet, D. Aouada (2022). "CalcGraph: Taming the high costs of deep learning using models," Journal of Software Engineering and Modelling. DOI Cite
4. MA. Ali, A. Rathinam, V. Gaudillière, MO. Castillo, K. Al Ismaeil, D. Aouada (2022). "CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft," Proceedings of the 17th European Conference on Computer Vision Workshops (ECCVW). Cite
5. A. Kacem, K. Cherenkova, D. Aouada. (2022). "Disentangled Face Identity Representations for Joint 3D Face Recognition and Neutralisation," Proceedings of the 8th International Conference on Virtual Reality (ICVR). Cite
6. K. Papadopoulos, A. Kacem, A. Shabayek, D. Aouada (2022). "Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Recognition," 8th International Conference on Virtual Reality. Cite
7. M. Jamrozik, V. Gaudillière, MA. Ali, D. Aouada (2022). "Image Enhancement for Space Surveillance and Tracking," Proceedings of the 73rd International Astronautical Congress. (Paris). Cite
8. IP. Singh, O. Oyedotun, E. Ghorbel, D. Aouada (2022). "IML-GCN: Improved Multi-Label Graph Convolutional Network for Efficient yet Precise Image Classification," AAAI-22 Workshop Program-Deep Learning on Graphs: Methods and Applications. Cite
9. MA. Ali, V. Gaudillière, MO. Castillo, K. Al Ismaeil, D. Aouada (2022). "Leveraging Equivariant Features for Absolute Pose Regression," IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Cite
10. I. P. Singh, E. Ghorbel, O. Oyedotun, D. Aouada. (2022). "Multi label image classification using adaptive graph convolutional networks (ML-AGCN)," IEEE International Conference on Image Processing (ICIP). Cite
11. A. Rathinam, V. Gaudillière, L. Pauly, and D. Aouada. (2022). "Pose Estimation of a Known Texture-Less Space Target using Convolutional Neural Networks," In 73rd International Astronautical Congress, Paris, France, 18-22 September 2022. Cite
12. J. Lorentz, A. Moawad, T. Hartmann, D. Aouada (2022). "Profiling the real-world potential of neural network compression," IEEE International Conference On Omni-Layer Intelligent Systems (COINS). Cite
13. A. Karadeniz, S. A. Ali, A. Kacem, E. Dupont, and D. Aouada (2022). "TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network," Proceedings of the European Conference on Computer Vision Workshops (ECCVW). Cite

2021

1. A. Shabayek, D. Aouada (2021). "Dense and Sparse 3D Deformation Signatures for 3D Dynamic Face Recognition," IEEE Access, pp. 38687. DOI Cite
2. KM. Perez, MA. Ali, A. Garcia Sanchez, E. Ghorbel, K. Al Ismaeil, P. Le Henaff, D. Aouada (2021). "Detection and Identification of On-Orbit Objects Using Machine Learning," European Conference on Space Debris 8. Cite
3. J. Lorentz, T. Hartmann, A. Moawad, F. Fouquet, and D. Aouada (2021). "Explaining Defect Detection with Saliency Maps," International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE). Cite
4. N. Mejri, K. Papadopoulos, D. Aouada (2021). "Leveraging High-Frequency Components for Deepfake Detection," IEEE Workshop on Multimedia Signal Processing (MMSP). Cite
5. MA. Ali, MO. Castillo, K. Al Ismaeil, M. Perez, D. Aouada (2021). "Leveraging Temporal Information for 3D Trajectory Estimation of Space Objects," Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Cite
6. A. Garcia Sanchez, M. A. Mohamed Ali, V. Gaudillière, E. Ghorbel, K. Al Ismaeil, M. Perez, D. Aouada (2021). "LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network," Proceedings of Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Cite
7. MA. Ali, V. Gaudillière, E. Ghorbel, K. Al Ismaeil, M. Perez, M. Poucet, and D. Aouada (2021). "Spacecraft recognition leveraging knowledge of space environment: simulator, dataset, competition design and analysis," IEEE International Conference on Image Processing (ICIP). Cite
8. R. Baptista, A. Saint, K. Al Ismaeil, D. Aouada (2021). "Towards Generalization of 3D Human Pose Estimation In The Wild," In International Conference on Pattern Recognition (ICPR) Workshop on 3D Human Understanding. Cite
9. O. Oyedotun, K. Al Ismaeil, D. Aouada. (2021). "Training Very Deep Neural Networks: Rethinking the Role of Skip Connections," Neurocomputing, pp. 105-17. DOI Cite
10. K. Papadopoulos, E. Ghorbel, D.Aouada, B. Ottersten (2021). "Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition," International Conference on Pattern Recognition (ICPR). Cite
11. O. Oyedotun, K. Al Ismaeil, D. Aouada. (2021). "Why is everyone Training Very Deep Neural Network with Skip Connections?," IEEE Transactions on Neural Networks and Learning Systems. DOI Cite

2020

1. D. Aouada, K. Cherenkova, G. Gusev (2020). "3d Sparse Deformation Signature For Dynamic Face Recognition," IEEE International Conference on Image Processing (ICIP). Cite
2. A. Saint, A. Kacem, K. Cherenkova, D. Aouada (2020). "3DBooSTeR: 3D Body Shape and Texture Recovery," Proceedings of the European Conference on Computer Vision Workshops (ECCVW). Cite
3. O. Oyedotun, A. Shabayek, D. Aouada, B. Ottersten (2020). "Deep network compression with teacher latent subspace learning and LASSO," Applied Intelligence. DOI Cite
4. K. Papadopoulos, E. Ghorbel, O. Oyedotun, D. Aouada, B. Ottersten (2020). "DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB Camera," IEEE International Conference on Automatic Face and Gesture Recognition. Cite
5. E. Ghorbel, G. Demisse, D. Aouada, B. Ottersten (2020). "Fast Adaptive Reparametrization (FAR) with Application to Human Action Recognition," IEEE Signal Processing Letters. DOI Cite
6. O. Oyedotun, A. Shabayek, D. Aouada, B. Ottersten (2020). "Going Deeper With Neural Networks Without Skip Connections," IEEE International Conference on Image Processing (ICIP). Cite
7. E. Ghorbel, R. Baptista, A. Shabayek, , M. Oramaeche, J. Lago, L. Fernandez (2020). "Home-based rehabilitation system for stroke survivors: a clinical evaluation," Journal of medical systems. DOI Cite
8. O. Oyedotun, A. Shabayek, D. Aouada, B. Ottersten (2020). "Improved Highway Network Block for Training Very Deep Neural Networks," IEEE Access. DOI Cite
9. K. Cherenkova, D. Aouada, G. Gusev (2020). "PVDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D," IEEE International Conference on Image Processing (ICIP). Cite
10. O. Oyedotun, A. Shabayek, D. Aouada, B. Ottersten (2020). "Revisiting the Training of Very Deep Neural Networks without Skip Connections," IEEE International Conference on Pattern Recognition (ICPR). Cite
11. A. Saint, A. Kacem, K. Cherenkova, K. Papadopoulos, J. Chibane, G. Pons-Moll, G. Gusev, D. Fofi, D. Aouada (2020). "SHARP 2020: The 1st shape recovery from partial textured 3d scans challenge results," Proceedings of the European Conference on Computer Vision Workshops (ECCVW). Cite
12. A. Kacem, H. Ben Abdessalem, K. Cherenkova, D. Aouada (2020). "Space-Time Triplet Loss Network for Dynamic 3D Face Verification," In Workshop on 3D Human Understanding (ICPR). Cite
13. O. Oyedotun, D. Aouada, B. Ottersten (2020). "Structured Compression of Deep Neural Networks with Debiased Group LASSO," IEEE Winter Conference on Applications of Computer Vision (WACV). Cite
14. A. Shabayek, D. Aouada, K. Cherenkova, G. Gusev (2020). "Towards Automatic CAD Modeling from 3D Scan Sketch based Representation," Proceedings of the 15th International Joint Conference on Computer Vision. Cite
15. O. Oyedotun, D. Aouada (2020). "Why do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work?," International Conference on Neural Information Processing (ICONIP2020). Cite

2019

1. E. Ghorbel, K. Papadopoulos, R. Baptista, H. Pathak, G. Demisse, D. Aouada, B. Ottersten (2019). "A View-invariant Framework for Fast Skeleton-based Action Recognition Using a Single RGB Camera," 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). Cite
2. A. Saint, A. Shabayek, K. Cherenkova, G. Gusev, D. Aouada, B. Ottersten (2019). "BODYFITR: Robust Automatic 3D Human Body Fitting," IEEE International Conference on Image Processing (ICIP). Cite
3. R. Baptista, E. Ghorbel, A. Shabayek, F. Moissenet, D. Aouada, A. Douchet, M. André, J. Pager, S. Bouilland (2019). "Home Self-Training: Visual Feedback for Assisting Physical Activity for Stroke Survivors," Elsevier Journal in Computer Methods and Programs in Biomedicine. DOI Cite
4. O. Oyebade, D. Aouada, B. Ottersten (2019). "Learning to Fuse Latent Representations for Multimodal Data," IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). Cite
5. K. Papadopoulos, G. Demisse, E. Ghorbel, M. Antunes, D. Aouada, B. Ottersten (2019). "Localized Trajectories for 2D and 3D Action Recognition," Sensors. DOI Cite
6. MA. Ali, R. Baptista, K. Al Ismaeil, D. Aouada (2019). "Temporal 3D Human Pose Estimation for Action Recognition from Arbitrary Viewpoints," International Annual Conference on Computational Science and Computational Intelligence (CSCI). Cite
7. K. Papadopoulos, E. Ghorbel, R. Baptista, D. Aouada, B. Ottersten (2019). "Two-stage RGB-based Action Detection using Augmented 3D Poses," International Conference on Computer Analysis of Images and Patterns (CAIP). Cite
8. R. Baptista, E. Ghorbel, K. Papadopoulos, G. Demisse, D. Aouada, B. Ottersten (2019). "View-invariant Action Recognition From RGB Data Via 3D Pose Estimation," IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). Cite

2018

1. A. Saint, E. Ahmed, A. Shabayek, C. Kseniya, G. Gusev, D. Aouada, B. Ottersten (2018). "3DBodyTex: Textured 3D Body Dataset," International Conference on 3D Vision (3DV). Cite
2. K. Papadopoulos, M. Antunes, D. Aouada, B. Ottersten (2018). "A Revisit of Action Detection using Improved Trajectories," IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). Cite
3. R. Baptista, M. Antunes, D. Aouada, B. Ottersten (2018). "Anticipating Suspicious Actions using a Small Dataset of Action Templates," International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). Cite
4. G. Demisse, D. Aouada, B. Ottersten (2018). "Deformation Based 3D Facial Expression Representation," ACM Transactions on Multimedia Computing. DOI Cite
5. R. Baptista, G. Demisse, D. Aouada, B. Ottersten (2018). "Deformation-Based Abnormal Motion Detection Using 3D Skeletons," IEEE International Conference on Image Processing Theory Theory, Tools and Applications (IPTA). Cite
6. H. Afzal, D. Aouada, B. Mirbach, B. Ottersten (2018). "Full 3D Reconstruction of Non-rigidly Deforming Objects," ACM Transactions on Multimedia Computing. DOI Cite
7. O. Oyedotun, A. Shabayek, D. Aouada, B. Ottersten (2018). "Highway Network Block with Gates Constraints for Training Very Deep Networks," IEEE Computer Vision and Pattern Recognition Workshops (CVPRW). Cite
8. O. Oyedotun, A. Shabayek, D. Aouada, B. Ottersten (2018). "Improving The Capacity Of Very Deep Networks With Maxout Units," IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). Cite
9. R. Baptista, E. Ghorbel, A. Shabayek, D. Aouada, B. Ottersten (2018). "Key-Skeleton Based Feedback Tool for Assisting Physical Activity," Zooming Innovation in Consumer Electronics International Conference (ZINC). Cite
10. G. Demisse, K. Papadopoulos, D. Aouada, B. Ottersten (2018). "Pose Encoding for Robust Skeleton-Based Action Recognition," IEEE Computer Vision and Pattern Recognition Workshops (CVPRW). Cite

2017

1. G. Demisse, D. Aouada, B. Ottersten (2017). "Deformation Based Curved Shape Representation," IEEE Transactions on Pattern Analysis & Machine Intelligence. DOI Cite
2. A. Shabayek, D. Aouada, A. Saint, B. Ottersten (2017). "Deformation Transfer of 3D Human Shapes and Poses on Manifolds," IEEE International Conference in Image Processing (ICIP). Cite
3. K. Papadopoulos, M. Antunes, D. Aouada, B. Ottersten (2017). "Enhanced Trajectory-based Action Recognition Using Human Pose," IEEE International Conference in Image Processing (ICIP). Cite
4. O. Oyedotun, G. Demisse, A. Shabayek, D. Aouada, B. Ottersten (2017). "Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations," IEEE International Conference on Computer Vision Workshops (ICCVW). Cite
5. R. Baptista, M. Antunes, A. Shabayek, D. Aouada, B. Ottersten (2017). "Flexible feedback system for posture monitoring and correction," IEEE International Conference on Image Information Processing (ICIIP). Cite
6. A. Correa, S. Villegas, D. Aouada, B. Ottersten (2017). "Fraud Detection by Stacking Cost-Sensitive Decision Trees," Data Science for Cyber-Security (DSCS). Cite
7. A. Saint, A. Shabayek, D. Aouada, B. Ottersten, K. Cherenkova, G. Gusev (2017). "Towards Automatic Human Body Model Fitting to a 3D Scan," 8th International conference and Exhibition on 3D Body Scanning and Processing Technologies (3DBody.Tech). Cite
8. O. Oyedotun, A. Shabayek, D. Aouada, B. Ottersten (2017). "Training Very Deep Networks via Residual Learning with Stochastic Input Connections," 24th International Conference on Neural Information Processing (ICONIP). Cite
9. M. Antunes, J. Barreto, D. Aouada, B. Ottersten (2017). "Unsupervised Vanishing Point Detection and Camera Calibration from a Single Manhattan Image with Radial Distortion," IEEE International Conference in Computer Vision and Pattern Recognition (CVPR). Cite
10. R. Baptista, M. Antunes, D. Aouada, B. Ottersten (2017). "Video-Based Feedback for Assisting Physical Activity," International Conference on Computer Vision Theory and Applications (VISAPP). Cite

2016

1. M. Antunes, D. Aouada, B. Ottersten (2016). "A Revisit to Human Action Recognition from Depth Sequences: Guided SVM-Sampling for Joint Selection," IEEE Winter Conference on Applications of Computer Vision (WACV). Cite
2. K. Al Ismaeil, D. Aouada, B. Mirbach, B. Ottersten (2016). "Enhancement of Dynamic Depth Scenes by Upsampling for Precise Super-Resolution (UP-SR)," Elsevier Journal in Computer Vision and Image Understanding (CVIU). Cite
3. A. C. Bahnsen, D. Aouada, B. Ottersten (2016). "Feature Engineering Strategies for Credit Card Fraud Detection," Elsevier Journal in Expert Systems with Applications. Cite
4. K. Al Ismaeil, D. Aouada, T. Solignac, B. Mirbach, B. Ottersten (2016). "Real-Time Enhancement of Dynamic Depth Videos with Non-Rigid Deformations," IEEE Transactions on Pattern Analysis & Machine Intelligence (TPAMI). DOI Cite
5. I. Rocco, M. Antunes, D. Aouada, B. Ottersten (2016). "RGB-D and Thermal Sensor Fusionn-application in person tracking," International Conference on Computer Vision Theory and Applications (VISAPP). Cite
6. G. Demisse, D. Aouada, B. Ottersten (2016). "Similarity Metric For Curved Shapes In Euclidean Space," IEEE International Conference in Computer Vision and Pattern Recognition (CVPR). Cite
7. M. Antunes, R. Baptista, G. Demisse, D. Aouada, B. Ottersten (2016). "Visual and human-interpretable feedback for assisting physical activity," European Conference on Computer Vision Workshop (ECCVW). Cite

2015

1. A. Bahnsen, D. Aouada, A. Stojanovic, B. Ottersten (2015). "Detecting Credit Card Fraud using Periodic Features," IEEE International Conference on Machine Learning and Applications (ICMLA). Cite
2. A. C. Bahnsen, D. Aouada, B. Ottersten (2015). "Example-Dependent Cost-Sensitive Decision Trees," Elsevier Journal in Expert Systems with Applications. DOI Cite
3. D. Aouada, K. Al Ismaeil, B. Ottersten (2015). "Patch-based Statistical Performance Analysis of Upsampling for Precise Super–Resolution," International Conference on Computer Vision Theory and Applications (VISAPP). Cite
4. K. Al Isameil, D. Aouada, T. Solignac, B. Mirbach, B. Ottersten (2015). "Real-Time Non-Rigid Multi-Frame Depth Video Super-Resolution," IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW). Cite
5. G. Demisse, D. Aouada, B. Ottersten (2015). "Template-Based Statistical Shape Modelling on Deformation Space," IEEE International Conference in Image Processing (ICIP). Cite
6. F. Garcia, D. Aouada, B. Mirbach, T. Solignac, B. Ottersten (2015). "Unified Multi-Lateral Filter for Real-Time Depth Map Enhancement," Elsevier Journal in Image and Vision Computing. Cite
7. H. Afzal, D. Aouada, F. Destelle, B. Mirbach, B. Ottersten (2015). "View-Independent Enhanced 3D Reconstruction of Non-Rigidly Deforming Objects," IAPR International Conference on Computer Analysis of Images and Patterns (CAIP). Cite

2014

1. A. Bahnsen, D. Aouada, B. Ottersten (2014). "Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring," IEEE International Conference on Machine Learning and Applications (ICMLA). Cite
2. A. Bahnsen, D. Aouada, A. Stojanovic, B. Ottersten (2014). "Improving Credit Card Fraud Detection with Calibrated Probabilities," SIAM International Conference on Data Mining (ICDM). Cite
3. H. Afzal, K. Al Ismaeil, D. Aouada, F. Destelle, B. Mirbach, B. Ottersten (2014). "KinectDeform: Enhanced 3D Reconstruction of Non-Rigidly Deforming Objects," IEEE International Conference on 3D Vision Workshops (3DV). Cite
4. H. Afza, D. Aouada, D. Font, B. Mirbach, B. Ottersten (2014). "RGB-D Multi-View System Calibration for Full 3D Scene Reconstruction," IAPR International Conference on Pattern Recognition (ICPR). Cite
5. D. Aouada, D. Khader (2014). "SPN2: Single-Sided Privacy Preserving Nearest Neighbor and its Application to Face Recognition," IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS). Cite
6. D. Aouada, K. Al Ismaeil, B. Ottersten (2014). "Surface UP-SR for an Improved Face Recognition Using Low Resolution Depth Cameras," IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS). Cite

2013

1. A. Bahnsen, A. Stojanovic, D. Aouada, B. Ottersten (2013). "Cost sensitive credit card fraud detection using Bayes minimum risk," IEEE International Conference on Machine Learning and Applications (ICMLA). Cite
2. K. Al Ismaeil, D. Aouada, B. Mirbach, B. Ottersten (2013). "Depth Super-Resolution by Enhanced Shift and Add," IAPR International Conference on Computer Analysis of Images and Patterns (CAIP). Cite
3. K. Al Ismaeil, D. Aouada, B. Mirbach, B. Ottersten (2013). "Dynamic Super Resolution of Depth Sequences with Non-Rigid Motions," IEEE International Conference on Image Processing (ICIP). Cite
4. K. Al Ismaeil, D. Aouada, B. Mirbach, B. Ottersten (2013). "Mutli-Frame Super-Resolution by Enhanced Shift and Add," IEEE International Symposium on Image and Signal Processing Analysis (ISPA). Cite
5. F. Garcia, D. Aouada, T. Solignac, B. Mirbach, B. Ottersten (2013). "Real-time depth enhancement by fusion for RGB-D cameras," IET Computer Vision. DOI Cite

2012

1. K. Al Ismaeil, D. Aouada, B. Mirbach, B. Ottersten (2012). "Bilateral Filter Evaluation Based on Exponential Kernels," IAPR International Conference on Pattern Recognition (ICPR). Cite
2. F. Garcia, D. Aouada, H. Abdella, T. Solignac, B. Mirbach, B. Ottersten (2012). "Depth Enhancement by Fusion for Passive and Active Sensing," European Conference on Computer Vision Workshop (ECCVW). Cite
3. F. Garcia, D. Aouada, B. Mirbach, B. Ottersten (2012). "Real-Time Distance-Dependent Mapping for a Hybrid ToF Multi-Camera Rig," IEEE Journal of Selected Topics in Signal Processing. DOI Cite
4. F. Garcia, D. Aouada, B. Mirbach, B. Ottersten (2012). "Spatio-Temporal ToF Data Enhancement by Fusion," IEEE International Conference on Image Processing (ICIP). Cite

2011

1. F. Garcia, D. Aouada, B. Mirbach, B. Ottersten (2011). "A New 1-D Colour Model and its Application to Image Filtering," 7th International Symposium on Image and Signal Processing and Analysis (ISPA). Cite
2. F. Garcia, D. Aouada, B. Mirbach, T. Solignac, B. Ottersten (2011). "A New Multi-Lateral Filter for Real-Time Depth Enhancement," IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS). Cite
3. F. Garcia Becerro, D. Aouada, B. Mirbach, B. Ottersten (2011). "Spiral Colour Model: Reduction from 3-D to 2-D," IEEE International Conference on Acoustics. Cite
4. F. Garcia, D. Aouada, B. Mirbach, T. Solignac, B. Ottersten (2011). "Time Hybrid ToF Multi-Camera Rig Fusion System for Depth Map Enhancement," IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Cite
5. S. Nagaraja, P. Schaffer, D. Aouada (2011). "Who Clicks There!: Anonymizing the Photographer in a Camera Saturated Society," in Workshop on Privacy in the Electronic Society (WPES). Cite

2010

1. D. Aouada, Y. Baryshnikov, H. Krim (2010). "Mahalanobis-based Adaptive Nonlinear Dimension Reduction," IAPR International Conference on Pattern Recognition (ICPR). Cite
2. D. Aouada, H. Krim (2010). "Squigraphs for Fine and Compact Modeling of 3-D shapes," IEEE Transactions in Image Processing. DOI Cite

2009

1. D. Aouada, H. Krim (2009). "Meaningful 3D shape partitioning using Morse functions," in 16th IEEE International Conference on Image Processing (ICIP). Cite
2. D. Djamila, H. Krim (2009). "Novel similarity invariant for space curves using turning angles and its application to object recognition," IEEE International Conference on Acoustics. Cite

2008

1. D. Aouada, H. Krim (2008). "3D Object Recognition Using Fully Intrinsic Skeletal Graphs," in International Conference on Computational Imaging (ICCIMA). Cite
2. D. Aouada, D. Dreisigmeyer, H. Krim (2008). "Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function," IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). Cite

2007

1. S. Feng, D. Aouada, H. Krim, I. Kogan (2007). "3D Mixed Invariant and its Application on Object Classification," in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Cite
2. D. Aouada, S. Feng, H. Krim (2007). "Statistical Analysis of the Global Geodesic Function for 3D Object Classification," IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP). Cite