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Prof. Dr. Djamila Aouada

  • Department:    CVI²
  • Postal Address: CVI², Campus Kirchberg, Université du Luxembourg 6, rue Richard Coudenhove-Kalergi

 

  • Email:                    djamila.aouada@uni.lu
  • Telephone:            (+352) 46 66 44 5744
  • LinkedIn:               Djamila Aouada
  • Google Scholar:   Djamila Aouada

Biography

Prof. Djamila Aouada was born in Blida, Algeria, on November 10, 1982. She is Assistant Professor/Senior Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), at the University of Luxembourg, and the head of the Computer Vision, Imaging and Machine Intelligence (CVI2) research group. She also heads the Computer Vision Lab and co-heads the Zero-Gravity Space Lab. Prof. Aouada received the State Engineering degree (Ingéniorat d’État) in electronics in June 2005, from the École Nationale Polytechnique (ENP), Algiers, Algeria, and the Ph.D. degree in electrical engineering in May 2009 from North Carolina State University (NCSU), Raleigh, NC, USA. Dr. Aouada has been leading the computer vision activities at the SnT since 2009. She attracted several national, industrial and European projects. She has supervised and co-supervised 9 PhD theses and is currently the main supervisor of 6 PhD Candidates. She has worked as a consultant for multiple renowned laboratories (Los Alamos National Laboratory, Alcatel Lucent Bell Labs., and Mitsubishi Electric Research Labs.). Her research interests span the areas of signal and image processing, computer vision, pattern recognition and data modelling. Prof. Aouada is Senior Member of the IEEE, member of the IEEE Signal Processing Society, IEEE  WIE, INSTICC and the Eta Kappa Nu honor society (HKN). She has served as the Chair of the IEEE Benelux Women in Engineering Affinity Group from 2014 to 2016. She also served as the Chair of the SHARP workshop in conjunction with ECCV 2020, CVPR 2021 and this year at CVPR 2022. She also served as the Chair of the SPARK Challenge at ICIP 2021, and this year within the AI4Space in Conjunction with ECCV2022. She regularly reviews for journals and conferences, including ICIP, CVPR, ECCV, IEEE TIP, CVIU, and SigPro. She is the co-author of four IEEE best paper awards.

Research INterests

  • Computer Vision
  • Machine Learning
  • Data Modelling

Publications

2022

Adel Musallam, Mohamed, Vincent Gaudilliere, Miguel Ortiz del Castillo, Kassem Al Ismaeil, and Djamila Aouada. 2022. “Leveraging Equivariant Features for Absolute Pose Regression.” In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.


Oyedotun, Oyebade, and Djamila Aouada. 2022. “A Closer Look at Autoencoders for Unsupervised Anomaly Detection.” Proceedings of International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022.


Oyebade K Oyedotun, Kassem Al Ismaeil, Djamila Aouada. 2022. “Why Is Everyone Training Very Deep Neural Network with Skip Connections?IEEE Transactions on Neural Networks and Learning Systems.


Singh, Inder Pal, Oyebade Oyedotun, Enjie Ghorbel, and Djamila Aouada. 2022. “IML-GCN: Improved Multi-Label Graph Convolutional Network for Efficient yet Precise Image Classification.” In AAAI-22 Workshop Program-Deep Learning on Graphs: Methods and Applications.


Papadopoulos, Konstantinos, Anis Kacem, Abdelrahman Shabayek, and Djamila Aouada. 2021. “Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition.” International Conference on Virtual Reality, ICVR 2022.


Kacem, Anis, Kseniya Cherenkova, and Djamila Aouada. 2022. “Disentangled Face Identity Representations for Joint 3D Face Recognition and Expression Neutralisation.” International Conference on Virtual Reality, ICVR 2022.


2021

Aouada, Djamila, and others. 2021. “Dense and Sparse 3D Deformation Signatures for 3D Dynamic Face Recognition.” IEEE Access 9: 38687–38705.


Baptista, Renato, Alexandre Saint, Kassem Al Ismaeil, and Djamila Aouada. 2021. “Towards Generalization of 3D Human Pose Estimation in the Wild.” In International Conference on Pattern Recognition (ICPR) Workshops, 72–81. Springer, Cham.


Garcia, Albert, Mohamed Adel Musallam, Vincent Gaudilliere, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Perez, and Djamila Aouada. 2021. “LSPNET: A 2D Localization-Oriented Spacecraft Pose Estimation Neural Network.” In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2048–56.


Kacem, Anis, Hamza Ben Abdesslam, Kseniya Cherenkova, and Djamila Aouada. 2021. “Space-Time Triplet Loss Network for Dynamic 3D Face Verification.” In International Conference on Pattern Recognition (ICPR) Workshops, 82–90. Springer, Cham.


Lorentz, Joe, Thomas Hartmann, Assaad Moawad, Francois Fouquet, and Djamila Aouada. 2021. “Explaining Defect Detection with Saliency Maps.” In International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 506–18. Springer, Cham.


Mejri, Nesryne, Konstantinos Papadopoulos, and Djamila Aouada. 2021. “Leveraging High-Frequency Components for Deepfake Detection.” In 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP), 1–6. IEEE.


Mohamed Ali, Mohamed Adel, Miguel Ortiz Del Castillo, Kassem Al Ismaeil, Marcos Perez, and Djamila Aouada. 2021. “Leveraging Temporal Information for 3D Trajectory Estimation of Space Objects.” In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops.


Musallam, Mohamed Adel, Vincent Gaudilliere, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Damian Perez, Michel Poucet, and Djamila Aouada. 2021. “Spacecraft Recognition Leveraging Knowledge of Space Environment: Simulator, Dataset, Competition Design and Analysis.” In 2021 IEEE International Conference on Image Processing Challenges (ICIPC), 11–15. IEEE.


Musallam, Mohamed Adel, Kassem Al Ismaeil, Oyebade Oyedotun, Marcos Damian Perez, Michel Poucet, and Djamila Aouada. 2021. “SPARK: Spacecraft Recognition Leveraging Knowledge of Space Environment.” arXiv Preprint arXiv:2104.05978.


Ortiz Del Castillo, Miguel, Mohamed Adel Mohamed Ali, Michele Lynn Jamrozik, Vincent Gaudilliere, and Djamila Aouada. 2021. “Deep Learning-Based Image Enhancement for Space Applications.” ESA EO Φ-WEEEK, 2021.


Oyedotun, Oyebade K, Kassem Al Ismaeil, and Djamila Aouada. 2021. “Training Very Deep Neural Networks: Rethinking the Role of Skip Connections.” Neurocomputing 441: 105–17.


Oyebade K Oyedotun, Djamila Aouada, Björn Ottersten. 2021. “Revisiting the Training of Very Deep Neural Networks Without Skip Connections.” In 2020 25th International Conference on Pattern Recognition (ICPR), 2724–31. IEEE.


Oyedotun, Oyebade K, Abd El Rahman Shabayek, Djamila Aouada, and Björn Ottersten. 2021. “Deep Network Compression with Teacher Latent Subspace Learning and Lasso.” Applied Intelligence 51 (2): 834–53.


Perez, Marcos, Mohamed Adel Mohamed Ali, Albert Garcia Sanchez, Enjie Ghorbel, Kassem Al Ismaeil, Paul Le Henaff, and Djamila Aouada. 2021. “Detection & Identification of on-Orbit Objects Using Machine Learning.” In European Conference on Space Debris. Vol. 8. 1.


Papadopoulos, Konstantinos, Enjie Ghorbel, Djamila Aouada, and Björn Ottersten. 2021. “Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition.” International Conference on Pattern Recognition (ICPR) 2021.


2020

Aouada, Djamila, Kseniya Cherenkova, Gleb Gusev, Björn Ottersten, and others. 2020. “3D Deformation Signature for Dynamic Face Recognition.” In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2138–42. IEEE.


Cherenkova, Kseniya, Djamila Aouada, and Gleb Gusev. 2020. “PVDeConv: Point-Voxel Deconvolution for Autoencoding Cad Construction in 3D.” In 2020 IEEE International Conference on Image Processing (ICIP), 2741–5. IEEE.


Ghorbel, Enjie, Renato Baptista, Abdelrahman Shabayek, Djamila Aouada, Maialen Gorostiza Oramaeche, Janire Orcajo Lago, and Leire Ortiz Fernandez. 2020. “Home-Based Rehabilitation System for Stroke Survivors: A Clinical Evaluation.” Journal of Medical Systems 44 (12): 1–11.


Ghorbel, Enjie, Girum Demisse, Djamila Aouada, and Björn Ottersten. 2020. “Fast Adaptive Reparametrization (FAR) with Application to Human Action Recognition.” IEEE Signal Processing Letters 27: 580–84.


Going Deeper with Neural Networks Without Skip Connections, Author=Oyedotun, Oyebade K and Aouada, Djamila and Ottersten, Björn and Others.” 2020. In 2020 IEEE International Conference on Image Processing (ICIP), 1756–60. IEEE.


Oyedotun, Oyebade, Djamila Aouada, and Bjorn Ottersten. 2020. “Structured Compression of Deep Neural Networks with Debiased Elastic Group Lasso.” In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2277–86.


Oyedotun, Oyebade K, and Djamila Aouada. 2020. “Why Do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work?” In International Conference on Neural Information Processing, 380–92. Springer, Cham.


Oyedotun, Oyebade K, Djamila Aouada, Björn Ottersten, and others. 2020. “Improved Highway Network Block for Training Very Deep Neural Networks.” IEEE Access 8: 176758–73.


Papadopoulos, Konstantinos, Enjie Ghorbel, Oyebade Oyedotun, Djamila Aouada, and Björn Ottersten. 2020. “DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations Using a Single RGB Camera.” In 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (Fg 2020), 138–45. IEEE.


Saint, Alexandre, Anis Kacem, Kseniya Cherenkova, and Djamila Aouada. 2020. “3DBooSTeR: 3D Body Shape and Texture Recovery.” In European Conference on Computer Vision (ECCV) Workshops, 726–40. Springer, Cham.


Saint, Alexandre, Anis Kacem, Kseniya Cherenkova, Konstantinos Papadopoulos, Julian Chibane, Gerard Pons-Moll, Gleb Gusev, David Fofi, Djamila Aouada, and Björn Ottersten. 2020. “Sharp 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results.” In European Conference on Computer Vision (ECCV), Workshops, 741–55. Springer, Cham.


Shabayek, Abd El Rahman, Djamila Aouada, Kseniya Cherenkova, and Gleb Gusev. 2020. “Towards Automatic Cad Modeling from 3D Scan Sketch Based Representation.” In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020), GRAPP, 392–98.


 

2019

 

Adel Musallam, Mohamed, Renato Baptista, Kassem Al Ismaeil, and Djamila Aouada. 2019. “Temporal 3D Human Pose Estimation for Action Recognition from Arbitrary Viewpoints.” In 6th Annual Conf. On Computational Science & Computational Intelligence, Las Vegas 5-7 December 2019. Conference Publishing Services.


Afzal, Hassan, Djamila Aouada, Michel Antunes, David Fofi, Bruno Mirbach, and Björn Ottersten. 2019. “Bi-Objective Framework for Sensor Fusion in RGB-d Multi-View Systems: Applications in Calibration.” arXiv Preprint arXiv:1905.09939.


Ahmed Eman, Alexandre Saint, Shabayek Abdelrahman, Kseniya Cherenkova, Rig Das, Gleb Gusev, and Djamila Aouada. 2019. “Supplementary Material for: A Survey on Deep Learning Advances on Different 3D Data Representations.”


Bahnsen, Alejandro Correa, Sergio Villegas, Djamila Aouada, and Björn Ottersten. 2019. “Fraud Detection by Stacking Cost-Sensitive Decision Trees.” In Data Science for Cyber-Security, 251–66.


Baptista, Renato, Enjie Ghorbel, Florent Moissenet, Djamila Aouada, Alice Douchet, Mathilde André, Julien Pager, Stéphane Bouilland, and others. 2019. “Home Self-Training: Visual Feedback for Assisting Physical Activity for Stroke Survivors.” Computer Methods and Programs in Biomedicine 176: 111–20.


Baptista, Renato, Enjie Ghorbel, Konstantinos Papadopoulos, Girum G Demisse, Djamila Aouada, and Björn Ottersten. 2019. “View-Invariant Action Recognition from RGB Data via 3D Pose Estimation.” In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSSP), 2542–6. IEEE.


Ghorbel, Enjie, Konstantinos Papadopoulos, Renato Baptista, Himadri Pathak, Girum Demisse, Djamila Aouada, and Björn Ottersten. 2019. “A View-Invariant Framework for Fast Skeleton-Based Action Recognition Using a Single RGB Camera.” In 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Prague, 25-27 February 2018.


Oyedotun, Oyebade K, Djamila Aouada, and Björn Ottersten. 2019. “Learning to Fuse Latent Representations for Multimodal Data.” In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3122–6. IEEE.


Papadopoulos, Konstantinos, Girum Demisse, Enjie Ghorbel, Michel Antunes, Djamila Aouada, and Björn Ottersten. 2019. “Localized Trajectories for 2D and 3D Action Recognition.” Sensors 19 (16): 3503.


Papadopoulos, Konstantinos, Enjie Ghorbel, Renato Baptista, Djamila Aouada, and Björn Ottersten. 2019. “Two-Stage RGB-Based Action Detection Using Augmented 3D Poses.” In International Conference on Computer Analysis of Images and Patterns, 26–35. Springer, Cham.


Saint, Alexandre, Kseniya Cherenkova, Gleb Gusev, Djamila Aouada, Björn Ottersten, and others. 2019. “Bodyfitr: Robust Automatic 3D Human Body Fitting.” In 2019 IEEE International Conference on Image Processing (ICIP), 484–88. IEEE.


 

2018

 

 

Afzal, Hassan, Djamila Aouada, Bruno Mirbach, and Björn Ottersten. 2018. “Full 3D Reconstruction of Non-Rigidly Deforming Objects.” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 14 (1s): 1–23.


Ahmed, Eman, Alexandre Saint, Abd El Rahman Shabayek, Kseniya Cherenkova, Rig Das, Gleb Gusev, Djamila Aouada, and Bjorn Ottersten. 2018. “A Survey on Deep Learning Advances on Different 3D Data Representations.” arXiv Preprint arXiv:1808.01462.


Baptista, Renato, Michel Antunes, Djamila Aouada, and Björn Ottersten. 2018. “Anticipating Suspicious Actions Using a Small Dataset of Action Templates.” In 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP).


Baptista, Renato, Girum Demisse, Djamila Aouada, and Bjorn Ottersten. 2018. “Deformation-Based Abnormal Motion Detection Using 3D Skeletons.” In IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA).


Baptista, Renato, Enjie Ghorbel, Djamila Aouada, Björn Ottersten, and others. 2018. “Key-Skeleton Based Feedback Tool for Assisting Physical Activity.” In 2018 Zooming Innovation in Consumer Technologies Conference (ZINC), 175–76. IEEE.


Girum G Demisse, Djamila Aouada, Björn Ottersten. 2018. “Deformation-Based 3D Facial Expression Representation.” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 14 (1s): 1–22.


Demisse, Girum G, Konstantinos Papadopoulos, Djamila Aouada, and Bjorn Ottersten. 2018. “Pose Encoding for Robust Skeleton-Based Action Recognition.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 188–94.


Oyedotun, Oyebade K, Djamila Aouada, Bjorn Ottersten, and others. 2018. “Improving the Capacity of Very Deep Networks with Maxout Units.” In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2971–5. IEEE.


Oyedotun, Oyebade K, Abd El Rahman Shabayek, Djamila Aouada, and Bjorn Ottersten. 2018. “Highway Network Block with Gates Constraints for Training Very Deep Networks.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 1658–67.


Konstantinos Papadopoulos, Michel Antunes, Djamila Aouada, Björn Ottersten. 2018. “A Revisit of Action Detection Using Improved Trajectories.” In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2067–71. IEEE.


Saint, Alexandre, Eman Ahmed, Kseniya Cherenkova, Gleb Gusev, Djamila Aouada, Bjorn Ottersten, and others. 2018. “3Dbodytex: Textured 3D Body Dataset.” In 2018 International Conference on 3D Vision (3DV), 495–504. IEEE.


 

Previous

 

 

Abd El Rahman Shabayek, Aouada, Djamila, Alexandre Saint, Bjorn Ottersten, and others. 2017. “Deformation Transfer of 3D Human Shapes and Poses on Manifolds.” In 2017 IEEE International Conference on Image Processing (ICIP), 220–24. IEEE.


Baptista, Renato, Michel Antunes, Djamila Aouada, Björn Ottersten, and others. 2017. “Flexible Feedback System for Posture Monitoring and Correction.” In 2017 Fourth International Conference on Image Information Processing (ICIIP), 1–6. IEEE.


Baptista, Renato, Michel Goncalves Almeida Antunes, Djamila Aouada, and Björn Ottersten. 2017. “Video-Based Feedback for Assisting Physical Activity.” In 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP).


Correa Bahnsen, Alejandro, Sergio Villegas, Djamila Aouada, and Björn Ottersten. 2017. “Fraud Detection by Stacking Cost-Sensitive Decision Trees.” Data Science for Cyber-Security (DSCS), London 25-27 September.


Demisse, Girum Getachew, Djamila Aouada, and Björn Ottersten. 2017. “Deformation Based Curved Shape Representation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (6): 1338–51.


Goncalves Almeida Antunes, Michel, Joao P Barreto, Djamila Aouada, and Björn Ottersten. 2017. “Unsupervised Vanishing Point Detection and Camera Calibration from a Single Manhattan Image with Radial Distortion.” In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.


Oyedotun, Oyebade K, Girum Demisse, Abd El Rahman Shabayek, Djamila Aouada, and Bjorn Ottersten. 2017. “Facial Expression Recognition via Joint Deep Learning of Rgb-Depth Map Latent Representations.” In Proceedings of the IEEE International Conference on Computer Vision Workshops, 3161–8.


Oyedotun, Oyebade K, Abd El Rahman Shabayek, Djamila Aouada, and Björn Ottersten. 2017. “Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections.” In International Conference on Neural Information Processing, 23–33. Springer, Cham.


Papadopoulos, Konstantinos, Michel Antunes, Djamila Aouada, and Björn Ottersten. 2017. “Enhanced Trajectory-Based Action Recognition Using Human Pose.” In 2017 IEEE International Conference on Image Processing (ICIP), 1807–11. IEEE.


Saint, Alexandre Fabian A, Abd El Rahman Shabayek, Djamila Aouada, Björn Ottersten, Kseniya Cherenkova, and Gleb Gusev. 2017. “Towards Automatic Human Body Model Fitting to a 3d Scan.” In Proceedings of 3DBODY. TECH 2017-8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal Qc, Canada, 11-12 Oct. 2017, 274–80. Hometrica Consulting.


Shabayek, Abd El Rahman, Renato Baptista, Konstantinos Papadopoulos, Girum Demisse, Oyebade Oyedotun, Michel Antunes, Djamila Aouada, et al. 2017. “STARR-Decision Support and Self-mAnagement System for stRoke survivoRs Vision Based Rehabilitation System.” European Project Space on Networks, Systems and Technologies, 69–80.


Kassem Al Ismaeil, Djamila Aouada, Bruno Mirbach, Björn Ottersten. 2016. “Enhancement of Dynamic Depth Scenes by Upsampling for Precise Super-Resolution (UP-SR).” Computer Vision and Image Understanding 147: 38–49.


Al Ismaeil, Kassem, Djamila Aouada, Thomas Solignac, Bruno Mirbach, and Björn Ottersten. 2016. “Real-Time Enhancement of Dynamic Depth Videos with Non-Rigid Deformations.” IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (10): 2045–59.


Antunes, Michel, Djamila Aouada, and Björn Ottersten. 2016. “A Revisit to Human Action Recognition from Depth Sequences: Guided Svm-Sampling for Joint Selection.” In 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1–8. IEEE.


Antunes, Michel, Renato Baptista, Girum Demisse, Djamila Aouada, and Björn Ottersten. 2016. “Visual and Human-Interpretable Feedback for Assisting Physical Activity.” In European Conference on Computer Vision (ECCV), Workshops, 115–29. Springer, Cham.


Alejandro Correa Bahnsen, Djamila Aouada, Aleksandar Stojanovic, Björn Ottersten. 2016. “Feature Engineering Strategies for Credit Card Fraud Detection.” Expert Systems with Applications 51: 134–42.


Demisse, Girum G, Djamila Aouada, and Bjorn Ottersten. 2016. “Similarity Metric for Curved Shapes in Euclidean Space.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 5042–50.


Rocco, Ignacio, Michel Goncalves Almeida Antunes, Djamila Aouada, and Björn Ottersten. 2016. “RGB-d and Thermal Sensor Fusion.” In 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP).


Spremolla, Ignacio Rocco, Michel Antunes, Djamila Aouada, and Björn E Ottersten. 2016. “RGB-d and Thermal Sensor Fusion-Application in Person Tracking.” In VISIGRAPP (3: VISAPP), 612–19.


Afzal, Hassan, Djamila Aouada, François Destelle, Bruno Mirbach, and Björn Ottersten. 2015. “View-Independent Enhanced 3d Reconstruction of Non-Rigidly Deforming Objects.” In International Conference on Computer Analysis of Images and Patterns, 712–24. Springer, Cham.


Al Ismaeil, Kassem, Djamila Aouada, Thomas Solignac, Bruno Mirbach, and Bjorn Ottersten. 2015. “Real-Time Non-Rigid Multi-Frame Depth Video Super-Resolution.” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 8–16.


Aouada, Djamila, Kassem Al Ismaeil, and Björn Ottersten. 2015. “Patch-Based Statistical Performance Analysis of Upsampling for Precise Super–Resolution.” In 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP’15).


Bahnsen, Alejandro Correa, Djamila Aouada, and Björn Ottersten. 2015a. “A Novel Cost-Sensitive Framework for Customer Churn Predictive Modeling.” Decision Analytics 2 (1): 1–15.


Alejandro Correa Bahnsen, Djamila Aouada, Björn Ottersten. 2015b. “Example-Dependent Cost-Sensitive Decision Trees.” Expert Systems with Applications 42 (19): 6609–19.


Bahnsen, Alejandro Correa, Djamila Aouada, Aleksandar Stojanovic, and Björn Ottersten. 2015. “Detecting Credit Card Fraud Using Periodic Features.” In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 208–13. IEEE.


Correa Bahnsen, Alejandro, Djamila Aouada, and Bjorn Ottersten. 2015. “Ensemble of Example-Dependent Cost-Sensitive Decision Trees.” arXiv E-Prints, arXiv–1505.


Demisse, Girum G, Djamila Aouada, and Björn Ottersten. 2015. “Template-Based Statistical Shape Modelling on Deformation Space.” In 2015 IEEE International Conference on Image Processing (ICIP), 4386–90. IEEE.


Frederic Garcia, Djamila Aouada, Bruno Mirbach, Thomas Solignac, Björn Ottersten. 2015. “Unified Multi-Lateral Filter for Real-Time Depth Map Enhancement.” Image and Vision Computing 41: 26–41.


Afzal, Hassan, Djamila Aouada, David Font, Bruno Mirbach, and Björn Ottersten. 2014. “Rgb-d Multi-View System Calibration for Full 3d Scene Reconstruction.” In 2014 22nd International Conference on Pattern Recognition, 2459–64. IEEE.


Afzal, H., K. Al Ismaeil, D. Aouada, F. Destelle, Bruno Mirbach, and B. Ottersten. 2014. “KinectDeform: Enhanced 3D Reconstruction of Non-Rigidly Deforming Objects.” In 3DV Workshop on Dynamic Shape Measurement and Analysis.


Aouada, Djamila, Kassem Al Ismaeil, Kedija Kedir Idris, and Björn Ottersten. 2014. “Surface UP-SR for an Improved Face Recognition Using Low Resolution Depth Cameras.” In 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 107–12. IEEE.


Aouada, Djamila, and Dalia Khader. 2014. “SPN 2: Single-Sided Privacy Preserving Nearest Neighbor and Its Application to Face Recognition.” In 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 31–36. IEEE.


Bahnsen, Alejandro Correa, Djamia Aouada, and Björn Ottersten. 2014. “Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring.” In 2014 13th International Conference on Machine Learning and Applications, 263–69. IEEE.


Alejandro Correa Bahnsen, Aleksandar Stojanovic, Djamila Aouada, Björn Ottersten. 2014. “Improving Credit Card Fraud Detection with Calibrated Probabilities.” In Proceedings of the 2014 Siam International Conference on Data Mining, 677–85. Society for Industrial; Applied Mathematics.


Al Ismaeil, Kassem, Djamila Aouada, Bruno Mirbach, and Björn Ottersten. 2013a. “Depth Super-Resolution by Enhanced Shift and Add.” In International Conference on Computer Analysis of Images and Patterns, 100–107. Springer, Berlin, Heidelberg.


Kassem Al Ismaeil, Djamila Aouada, Bruno Mirbach, Björn Ottersten. 2013b. “Dynamic Super Resolution of Depth Sequences with Non-Rigid Motions.” In 2013 IEEE International Conference on Image Processing, 660–64. IEEE.


Al Ismaeil, Kassem, Djamila Aouada, Björn Ottersten, and Bruno Mirbach. 2013. “Multi-Frame Super-Resolution by Enhanced Shift & Add.” In 2013 8th International Symposium on Image and Signal Processing and Analysis (ISPA), 171–76. IEEE.


Bahnsen, Alejandro Correa, Aleksandar Stojanovic, Djamila Aouada, and Björn Ottersten. 2013. “Cost Sensitive Credit Card Fraud Detection Using Bayes Minimum Risk.” In 2013 12th International Conference on Machine Learning and Applications, 1:333–38. IEEE.


Garcia, Frederic, Djamila Aouada, Thomas Solignac, Bruno Mirbach, and Bjorn Ottersten. 2013. “Real-Time Depth Enhancement by Fusion for Rgb-d Cameras.” IET Computer Vision 7 (5): 1–11.


Al-Ismaeil, Kassem, Djamila Aouada, Björn Ottersten, and Bruno Mirbach. 2012. “Bilateral Filter Evaluation Based on Exponential Kernels.” In Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), 258–61. IEEE.


Garcia, Frederic, Djamila Aouada, Hashim Kemal Abdella, Thomas Solignac, Bruno Mirbach, and Björn Ottersten. 2012. “Depth Enhancement by Fusion for Passive and Active Sensing.” In European Conference on Computer Vision (ECCV) Workshops, 506–15. Springer, Berlin, Heidelberg.


Frederic Garcia, Djamila Aouada, Bruno Mirbach, Björn Ottersten. 2012a. “Real-Time Distance-Dependent Mapping for a Hybrid Tof Multi-Camera Rig.” IEEE Journal of Selected Topics in Signal Processing 6 (5): 425–36.


Frederic Garcia, Djamila Aouada, Bruno Mirbach, Björn Ottersten. 2012b. “Spatio-Temporal Tof Data Enhancement by Fusion.” In 2012 19th IEEE International Conference on Image Processing, 981–84. IEEE.


Garcia, Frederic, Djamila Aouada, Bruno Mirbach, and Björn Ottersten. 2011. “Spiral Colour Model: Reduction from 3-D to 2-D.” In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1305–8. IEEE.


Garcia, Frederic, Djamila Aouada, Bruno Mirbach, Thomas Solignac, and Björn Ottersten. 2011a. “A New Multi-Lateral Filter for Real-Time Depth Enhancement.” In 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 42–47. IEEE.


Frederic Garcia, Djamila Aouada, Bruno Mirbach, Thomas Solignac, Björn Ottersten. 2011b. “Real-Time Hybrid Tof Multi-Camera Rig Fusion System for Depth Map Enhancement.” In CVPR 2011 Workshops, 1–8. IEEE.


Nagaraja, Shishir, Peter Schaffer, and Djamila Aouada. 2011. “Who Clicks There! Anonymising the Photographer in a Camera Saturated Society.” In Proceedings of the 10th Annual ACM Workshop on Privacy in the Electronic Society, 13–22.


Aouada, Djamila, Yuliy Baryshnikov, and Hamid Krim. 2010. “Mahalanobis-Based Adaptive Nonlinear Dimension Reduction.” In 2010 20th International Conference on Pattern Recognition, 742–45. IEEE.



Djamila Aouada, Hamid Krim. 2009a. “Meaningful 3D Shape Partitioning Using Morse Functions.” In 2009 16th IEEE International Conference on Image Processing (ICIP), 417–20. IEEE.


Djamila Aouada, Hamid Krim. 2009b. “Novel Similarity Invariant for Space Curves Using Turning Angles and Its Application to Object Recognition.” In 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 1277–80. IEEE.


Djamila Aouada, Hamid Krim. 2009c. “Squigraphs for Fine and Compact Modeling of 3-D Shapes.” IEEE Transactions on Image Processing 19 (2): 306–21.


Aouada, Djamila, David W Dreisigmeyer, and Hamid Krim. 2008. “Geometric Modeling of Rigid and Non-Rigid 3d Shapes Using the Global Geodesic Function.” In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 1–8. IEEE.


Aouada, Djamila, and Hamid Krim. 2008. “3D Object Recognition Using Fully Intrinsic Skeletal Graphs.” In Computational Imaging Vi, 6814:681409. International Society for Optics; Photonics.


Aouada, Djamila, Shuo Feng, and Hamid Krim. 2007. “Statistical Analysis of the Global Geodesic Function for 3D Object Classification.” In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP’07, 1:I–645. IEEE.


Feng, Shuo, Djamila Aouada, Hamid Krim, and Irina Kogan. 2007. “3D Mixed Invariant and Its Application on Object Classification.” In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP’07, 1:I–461. IEEE.


 

Patterns

Mirbach, Bruno, Thomas Solignac, Frederic Garcia Becerro, and Djamila Aouada. 2019. “Depth Image Enhancement Method.”


Antunes, Michel, Djamila Aouada, and Girum Demisse. 2018. “Physical Activity Feedback.”