![]() ![]() | ASTRID, M., GHORBEL, E., & AOUADA, D. (October 2024). Statistics-aware Audio-visual Deepfake Detector [Paper presentation]. IEEE International Conference on Image Processing (ICIP 2024), Abu Dhabi, United Arab Emirates. ![]() |
![]() ![]() | ASTRID, M., GHORBEL, E., & AOUADA, D. (August 2024). Targeted Augmented Data for Audio Deepfake Detection [Paper presentation]. 32nd European Signal Processing Conference (EUSIPCO 2024), Lyon, France. ![]() |
![]() ![]() | MEJRI, N., CHERNAKOV, P., KULESHOVA, P., GHORBEL, E., & AOUADA, D. (15 July 2024). FACIAL REGION-BASED ENSEMBLING FOR UNSUPERVISED TEMPORAL DEEPFAKE LOCALIZATION [Paper presentation]. 2024 IEEE International Conference on Multimedia and Expo, Niagara Falls, Canada. ![]() |
![]() ![]() | SINGH, I. P., GHORBEL, E., OYEDOTUN, O., & AOUADA, D. (13 July 2024). Multi-label image classification using adaptive graph convolutional networks: From a single domain to multiple domains. Computer Vision and Image Understanding, 247, 104062. doi:10.1016/j.cviu.2024.104062 ![]() |
![]() ![]() | ASTRID, M., Zaheer, M. Z., AOUADA, D., & Lee, S.-I. (2024). Exploiting autoencoder’s weakness to generate pseudo anomalies. Neural Computing and Applications. doi:10.1007/s00521-024-09790-z ![]() |
![]() ![]() | SINHA, N., ROSTAMI ABENDANSARI, P., SHABAYEK, A. E. R., KACEM, A., & AOUADA, D. (April 2024). Multi-Objective Hardware Aware Neural Architecture Search using Hardware Cost Diversity [Paper presentation]. Conference on Computer Vision and Pattern Recognition (CVPR) Workshop 2024, Seattle, United States. ![]() |
![]() ![]() | SINGH, I. P., GHORBEL, E., KACEM, A., RATHINAM, A., & AOUADA, D. (2024). Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification. IEEE/CVF WACV. ![]() |
![]() ![]() | SINHA, N., SHABAYEK, A. E. R., KACEM, A., ROSTAMI ABENDANSARI, P., SHNEIDER, C., & AOUADA, D. (03 January 2024). Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric [Paper presentation]. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). ![]() |
![]() ![]() | PAULY, L., RHARBAOUI, W., SHNEIDER, C., RATHINAM, A., GAUDILLIERE, V., & AOUADA, D. (November 2023). A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects. Acta Astronautica, 212, 339-360. doi:10.1016/j.actaastro.2023.08.001 ![]() |
![]() ![]() | MALLIS, D., ALI, S. A., DUPONT, E., Cherenkova, K., KARADENIZ, A. S., KHAN, M. S., KACEM, A., Gleb, G., & AOUADA, D. (2023). SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines. International Conference on Computer Vision Workshops. doi:10.1109/ICCVW60793.2023.00194 ![]() |
![]() ![]() | GAUDILLIERE, V., PAULY, L., RATHINAM, A., Garcia Sanchez, A., MOHAMED ALI, M. A., & AOUADA, D. (2023). 3D-Aware Object Localization using Gaussian Implicit Occupancy Function. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE. doi:10.1109/IROS55552.2023.10342399 ![]() |
![]() ![]() | SINGH, I. P., MEJRI, N., NGUYEN, V. D., Ghorbel, E., & AOUADA, D. (2023). Multi-label Deepfake Classification. IEEE Workshop on Multimedia Signal Processing. doi:10.1109/MMSP59012.2023.10337658 ![]() |
![]() ![]() | SHNEIDER, C., ROSTAMI ABENDANSARI, P., KACEM, A., SINHA, N., SHABAYEK, A. E. R., & AOUADA, D. (19 July 2023). Impact of Disentanglement on Pruning Neural Networks [Paper presentation]. International Symposium on Computational Sensing (ISCS23), Luxembourg, Luxembourg. doi:10.48550/arXiv.2307.09994 |
![]() ![]() | CHERENKOVA, K., DUPONT, E. M. E., KACEM, A., Arzhannikov, I., Gusev, G., & AOUADA, D. (2023). SepicNet: Sharp Edges Recovery by Parametric Inference of Curves in 3D Shapes. In Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023. IEEE Computer Society. doi:10.1109/CVPRW59228.2023.00273 ![]() |
![]() ![]() | SHNEIDER, C., ROSTAMI ABENDANSARI, P., KACEM, A., SINHA, N., SHABAYEK, A. E. R., & AOUADA, D. (20 June 2023). Impact of Disentanglement on Pruning Neural Networks [Poster presentation]. International Symposium on Computational Sensing (ISCS23), Luxembourg, Luxembourg. doi:10.5281/zenodo.8060029 |
![]() ![]() | MEJRI, N., GHORBEL, E., & AOUADA, D. (2023). UNTAG: Learning Generic Features for Unsupervised Type-Agnostic Deepfake Detection. IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings. doi:10.1109/ICASSP49357.2023.10095983 ![]() |
![]() ![]() | JAMROZIK, M. L., GAUDILLIERE, V., MOHAMED ALI, M. A., & AOUADA, D. (2023). Space Debris: Are Deep Learning-based Image Enhancements part of the Solution? Proceedings International Symposium on Computational Sensing. ![]() |
![]() ![]() | SHNEIDER, C., SINHA, N., JAMROZIK, M. L., ASTRID, M., ROSTAMI ABENDANSARI, P., KACEM, A., SHABAYEK, A. E. R., & AOUADA, D. (19 April 2023). Compression of Deep Neural Networks for Space Autonomous Systems [Poster presentation]. Luxembourg Space Resources Week 2023, Luxembourg, Luxembourg. doi:10.5281/zenodo.7931156 |
![]() ![]() | Olivares-Mendez, M., Yalç\ina, B. C. C., Makhdoomia, M. R., Muralidharana, V., Bokala, Z., Del Castillob, M. O., Gaudilliereb, V., Paulyb, L., Borguec, O., Alandihallajc, M., THOEMEL, J., SKRZYPCZYK, E., RATHINAM, A., BARAD, K. R., SHABAYEK, A. E. R., HEIN, A., AOUADA, D., & Martinez, C. (2023). Establishing a Multi-Functional Space Operations Emulation Facility: Insights from the Zero-G Lab [Paper presentation]. Internal. doi:10.2139/ssrn.4602588 |
![]() ![]() | Olivares-Mendez, M., MAKHDOOMI, M. R., YALCIN, B. C., BOKAL, Z., MURALIDHARAN, V., Ortiz Del Castillo, M., GAUDILLIERE, V., PAULY, L., BORGUE, O., ALANDIHALLAJ, M., THOEMEL, J., SKRZYPCZYK, E., RATHINAM, A., BARAD, K. R., SHABAYEK, A. E. R., HEIN, A., AOUADA, D., & Martinez, C. (2023). Zero-G Lab: A multi-purpose facility for emulating space operations. Journal of Space Safety Engineering, 10 (4), 509–521. doi:10.1016/j.jsse.2023.09.003 ![]() |
![]() ![]() | PAULY, L., Lynn Jamrozik, M., Ortiz Del Castillo, M., BORGUE, O., SINGH, I. P., MAKHDOOMI, M. R., CHRISTIDI-LOUMPASEFSKI, O.-O., GAUDILLIERE, V., MARTINEZ LUNA, C., RATHINAM, A., HEIN, A., OLIVARES MENDEZ, M. A., & AOUADA, D. (2023). Lessons from a Space Lab -- An Image Acquisition Perspective. International Journal of Aerospace Engineering, 2023, 1-16. doi:10.1155/2023/9944614 ![]() |
![]() ![]() | DUPONT, E., SINGH, I. P., Fuentes, L., ALI, S. A., KACEM, A., GHORBEL, E., & AOUADA, D. (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 2023, Volume 4: VISAPP. doi:10.5220/0011790900003417 ![]() |
![]() ![]() | MOHAMED ALI, M. A.* , GAUDILLIERE, V., & AOUADA, D. (2023). Self-Supervised Learning for Place Representation Generalization across Appearance Changes. Machine Vision and Applications. ![]() |
![]() ![]() | LORENTZ, J., HARTMANN, T., MOAWAD, A., FOUQUET, F., AOUADA, D., & LE TRAON, Y. (2022). CalcGraph: taming the high costs of deep learning using models. Software and Systems Modeling. doi:10.1007/s10270-022-01052-7 ![]() |
![]() ![]() | RATHINAM, A., GAUDILLIERE, V., PAULY, L., & AOUADA, D. (2022). Pose Estimation of a Known Texture-Less Space Target using Convolutional Neural Networks. In 73rd International Astronautical Congress, Paris 18-22 September 2022. |
![]() ![]() | LORENTZ, J., Hartmann, T., Moawad, A., & AOUADA, D. (2022). Profiling the real world potential of neural network compression. In 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), Barcelona 1-3 August 2022. IEEE. doi:10.1109/COINS54846.2022.9854973 ![]() |
![]() ![]() | KACEM, A., cherenkova, K., & AOUADA, D. (28 May 2022). Disentangled Face Identity Representationsfor Joint 3D Face Recognition and Neutralisation [Poster presentation]. International Conference on Virtual Reality. doi:10.1109/ICVR55215.2022.9848415 ![]() |
![]() ![]() | Papadopoulos, K., KACEM, A., Shabayek, A., & AOUADA, D. (2022). Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Recognition. 2022 8th International Conference on Virtual Reality. doi:10.1109/ICVR55215.2022.9847930 ![]() |
![]() ![]() | OYEDOTUN, O., & AOUADA, D. (22 May 2022). A CLOSER LOOK AT AUTOENCODERS FOR UNSUPERVISED ANOMALY DETECTION [Poster presentation]. 2022 IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP). |
![]() ![]() | SINGH, I. P., OYEDOTUN, O., GHORBEL, E., & AOUADA, D. (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. ![]() |
JAMROZIK, M. L., GAUDILLIERE, V., MOHAMED ALI, M. A., & AOUADA, D. (2022). Image Enhancement for Space Surveillance and Tracking. In M. L. JAMROZIK, V. GAUDILLIERE, M. A. Musallam, ... D. AOUADA, Proceedings of the 73rd International Astronautical Congress. Paris, France: International Astronautical Federation. |
![]() ![]() | SINGH, I. P., GHORBEL, E., OYEDOTUN, O., & AOUADA, D. (2022). MULTI LABEL IMAGE CLASSIFICATION USING ADAPTIVE GRAPH CONVOLUTIONAL NETWORKS (ML-AGCN). IEEE International Conference on Image Processing. ![]() |
![]() ![]() | MOHAMED ALI, M. A., GAUDILLIERE, V., ORTIZ DEL CASTILLO, M., AL ISMAEIL, K., & AOUADA, D. (2022). Leveraging Equivariant Features for Absolute Pose Regression. IEEE Conference on Computer Vision and Pattern Recognition. ![]() |
![]() ![]() | MOHAMED ALI, M. A., RATHINAM, A., GAUDILLIERE, V., ORTIZ DEL CASTILLO, M., & AOUADA, D. (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 2022). ![]() |
![]() ![]() | KARADENIZ, A. S., ALI, S. A., KACEM, A., DUPONT, E., & AOUADA, D. (2022). TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network. In A. S. KARADENIZ, S. A. ALI, A. KACEM, E. DUPONT, ... D. AOUADA, TSCom-Net: Coarse-to-Fine 3D Textured Shape Completion Network. ![]() |
![]() ![]() | DUPONT, E. M. E., CHERENKOVA, K., KACEM, A., ALI, S. A., Arzhannikov, I., Gusev, G., & AOUADA, D. (2022). CADOps-Net: Jointly Learning CAD Operation Types and Steps from Boundary-Representations. In Proceedings - 2022 International Conference on 3D Vision, 3DV 2022. Institute of Electrical and Electronics Engineers Inc. doi:10.1109/3DV57658.2022.00024 ![]() |
![]() ![]() | OYEDOTUN, O., Al Ismaeil, K., & AOUADA, D. (2021). Why is Everyone Training Very Deep Neural Network with Skip Connections? IEEE Transactions on Neural Networks and Learning Systems. doi:10.1109/TNNLS.2021.3131813 ![]() |
![]() ![]() | MEJRI, N., PAPADOPOULOS, K., & AOUADA, D. (2021). Leveraging High-Frequency Components for Deepfake Detection. IEEE Workshop on Multimedia Signal Processing. doi:10.1109/MMSP53017.2021.9733606 ![]() |
![]() ![]() | MOHAMED ALI, M. A., ORTIZ DEL CASTILLO, M., AL ISMAEIL, K., Perez, M., & AOUADA, D. (2021). Leveraging Temporal Information for 3D Trajectory Estimation of Space Objects. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops. ![]() |
ORTIZ DEL CASTILLO, M., MOHAMED ALI, M. A., JAMROZIK, M. L., GAUDILLIERE, V., & AOUADA, D. (September 2021). Deep Learning-based Image Enhancement for Space Applications [Paper presentation]. ESA EO Φ-WEEK. |
![]() ![]() | LORENTZ, J., Hartmann, T., Moawad, A., Fouquet, F., & AOUADA, D. (2021). Explaining Defect Detection with Saliency Maps. In 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26–29, 2021, Proceedings, Part II (pp. 506-518). Cham, Switzerland: Springer. doi:10.1007/978-3-030-79463-7_43 ![]() |
![]() ![]() | OYEDOTUN, O., AL ISMAEIL, K., & AOUADA, D. (2021). Training very deep neural networks: Rethinking the role of skip connections. Neurocomputing. doi:10.1016/j.neucom.2021.02.004 ![]() |
![]() ![]() | GARCIA SANCHEZ, A., MOHAMED ALI, M. A., GAUDILLIERE, V., GHORBEL, E., AL ISMAEIL, K., Perez, M., & AOUADA, D. (2021). LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network. Proceedings of Conference on Computer Vision and Pattern Recognition Workshops, 2048-2056. doi:10.1109/CVPRW53098.2021.00233 ![]() |
![]() ![]() | Perez, M., MOHAMED ALI, M. A., GARCIA SANCHEZ, A., GHORBEL, E., AL ISMAEIL, K., Le Henaff, P., & AOUADA, D. (2021). Detection & Identification of On-Orbit Objects Using Machine Learning. European Conference on Space Debris, 8 (1). |
![]() ![]() | MOHAMED ALI, M. A., GAUDILLIERE, V., GHORBEL, E., AL ISMAEIL, K., Perez, M., Poucet, M., & AOUADA, D. (2021). SPACECRAFT RECOGNITION LEVERAGING KNOWLEDGE OF SPACE ENVIRONMENT: SIMULATOR, DATASET, COMPETITION DESIGN, AND ANALYSIS. 2021 IEEE International Conference on Image Processing (ICIP). ![]() |
![]() ![]() | SHABAYEK, A. E. R., & AOUADA, D. (2021). Dense and Sparse 3D Deformation Signatures for 3D Dynamic Face Recognition. IEEE Access, 9, 38687-38705. doi:10.1109/ACCESS.2021.3064179 ![]() |
![]() ![]() | PAPADOPOULOS, K., GHORBEL, E., AOUADA, D., & OTTERSTEN, B. (2021). Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatio-Temporal Graph Convolutional Network for Action Recognition. In International Conference on Pattern Recognition, Milan 10-15 January 2021. doi:10.1109/ICPR48806.2021.9413189 ![]() |
![]() ![]() | OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2021). Revisiting the Training of Very Deep Neural Networks without Skip Connections [Poster presentation]. IEEE 2020 International Conference on Pattern Recognition (ICPR). doi:10.1109/ICPR48806.2021.9412508 |
![]() ![]() | OYEDOTUN, O., & AOUADA, D. (18 November 2020). Why do Deep Neural Networks with Skip Connections and Concatenated Hidden Representations Work? [Poster presentation]. The 27th International Conference on Neural Information Processing (ICONIP2020). |
![]() ![]() | GHORBEL, E., BAPTISTA, R., SHABAYEK, A. E. R., AOUADA, D., Gorostiza Oramaeche, M., Orcajo Lago, J., & Ortiz Fernandez, L. (2020). Home-based rehabilitation system for strokesurvivors: a clinical evaluation. Journal of medical systems. doi:10.1007/s10916-020-01661-z ![]() |
![]() ![]() | OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2020). Improved Highway Network Block for Training Very Deep Neural Networks. IEEE Access. doi:10.1109/ACCESS.2020.3026423 ![]() |
![]() ![]() | SHABAYEK, A. E. R., AOUADA, D., CHERENKOVA, K., & Gusev, G. (2020). 3D SPARSE DEFORMATION SIGNATURE FOR DYNAMIC FACE RECOGNITION. In 27th IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi 25-28 October 2020. ![]() |
![]() ![]() | CHERENKOVA, K., AOUADA, D., & Gusev, G. (October 2020). PVDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D [Paper presentation]. IEEE International Conference on Image Processing. |
![]() ![]() | OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2020). Deep network compression with teacher latent subspace learning and LASSO. Applied Intelligence. doi:10.1007/s10489-020-01858-2 ![]() |
![]() ![]() | SAINT, A. F. A., KACEM, A., CHERENKOVA, K., & AOUADA, D. (23 August 2020). 3DBooSTeR: 3D Body Shape and Texture Recovery [Paper presentation]. SHARP workshop, ECCV 2020. |
SAINT, A. F. A., KACEM, A., CHERENKOVA, K., PAPADOPOULOS, K., Chibane, J., Pons-Moll, G., Gusev, G., Foffi, D., AOUADA, D., & OTTERSTEN, B. (23 August 2020). SHARP 2020: The 1st Shape Recovery from Partial Textured 3D Scans Challenge Results [Paper presentation]. SHARP workshop, ECCV 2020. |
![]() ![]() | OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2020). GOING DEEPER WITH NEURAL NETWORKS WITHOUT SKIP CONNECTIONS. In IEEE International Conference on Image Processing (ICIP 2020), Abu Dhabi, UAE, Oct 25–28, 2020. ![]() |
![]() ![]() | SHABAYEK, A. E. R., AOUADA, D., CHERENKOVA, K., Gusev, G., & OTTERSTEN, B. (2020). 3D DEFORMATION SIGNATURE FOR DYNAMIC FACE RECOGNITION. In 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona 4-8 May 2020. ![]() |
![]() ![]() | OYEDOTUN, O., AOUADA, D., & OTTERSTEN, B. (2020). Structured Compression of Deep Neural Networks with Debiased Elastic Group LASSO. In IEEE 2020 Winter Conference on Applications of Computer Vision (WACV 20), Aspen, Colorado, US, March 2–5, 2020. ![]() |
![]() ![]() | SHABAYEK, A. E. R., AOUADA, D., CHERENKOVA, K., & Gusev, G. (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 (pp. 392-398). ![]() |
![]() ![]() | PAPADOPOULOS, K., GHORBEL, E., OYEDOTUN, O., AOUADA, D., & OTTERSTEN, B. (2020). DeepVI: A Novel Framework for Learning Deep View-Invariant Human Action Representations using a Single RGB Camera. In IEEE International Conference on Automatic Face and Gesture Recognition, Buenos Aires 18-22 May 2020. ![]() |
![]() ![]() | GHORBEL, E., DEMISSE, G., AOUADA, D., & OTTERSTEN, B. (2020). Fast Adaptive Reparametrization (FAR) with Application to Human Action Recognition. IEEE Signal Processing Letters. doi:10.1109/LSP.2020.2983901 ![]() |
![]() ![]() | BAPTISTA, R., SAINT, A. F. A., AL ISMAEIL, K., & AOUADA, D. (2020). Towards Generalization of 3D Human Pose Estimation In The Wild. In International Conference on Pattern Recognition (ICPR) Workshop on 3D Human Understanding, Milan 10-15 January 2021. ![]() |
![]() ![]() | KACEM, A., BEN ABDESSALEM, H., CHERENKOVA, K., & AOUADA, D. (2020). Space-Time Triplet Loss Network for Dynamic 3D Face Verification [Paper presentation]. Workshop on 3D Human Understanding, ICPR 2020. |
![]() ![]() | Adel Musallam, M., BAPTISTA, R., AL ISMAEIL, K., & AOUADA, D. (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. ![]() |
![]() ![]() | SAINT, A. F. A., SHABAYEK, A. E. R., CHERENKOVA, K., Gusev, G., AOUADA, D., & OTTERSTEN, B. (2019). BODYFITR: Robust Automatic 3D Human Body Fitting. In Proceedings of the 2019 IEEE International Conference on Image Processing (ICIP). IEEE. doi:10.1109/ICIP.2019.8803819 ![]() |
![]() ![]() | OYEDOTUN, O., AOUADA, D., & OTTERSTEN, B. (14 May 2019). Learning to Fuse Latent Representations for Multimodal Data [Poster presentation]. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom. |
![]() ![]() | BAPTISTA, R., GHORBEL, E., PAPADOPOULOS, K., Demisse, G., AOUADA, D., & OTTERSTEN, B. (2019). VIEW-INVARIANT ACTION RECOGNITION FROM RGB DATA VIA 3D POSE ESTIMATION. In IEEE International Conference on Acoustics, Speech and Signal Processing, Brighton, UK, 12–17 May 2019. ![]() |
![]() ![]() | GHORBEL, E., PAPADOPOULOS, K., BAPTISTA, R., Pathak, H., Demisse, G., AOUADA, D., & OTTERSTEN, B. (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. ![]() |
![]() ![]() | PAPADOPOULOS, K., DEMISSE, G., GHORBEL, E., Antunes, M., AOUADA, D., & OTTERSTEN, B. (2019). Localized Trajectories for 2D and 3D Action Recognition. Sensors. doi:10.3390/s19163503 ![]() |
![]() ![]() | BAPTISTA, R., GHORBEL, E., SHABAYEK, A. E. R., Moissenet, F., AOUADA, D., Douchet, A., André, M., Pager, J., & Bouilland, S. (2019). Home Self-Training: Visual Feedback for Assisting Physical Activity for Stroke Survivors. Computer Methods and Programs in Biomedicine. doi:10.1016/j.cmpb.2019.04.019 ![]() |
![]() ![]() | PAPADOPOULOS, K., GHORBEL, E., BAPTISTA, R., AOUADA, D., & OTTERSTEN, B. (2019). Two-stage RGB-based Action Detection using Augmented 3D Poses. In 18th International Conference on Computer Analysis of Images and Patterns SALERNO, 3-5 SEPTEMBER, 2019. ![]() |
![]() ![]() | BAPTISTA, R., DEMISSE, G., AOUADA, D., & OTTERSTEN, B. (2018). Deformation-Based Abnormal Motion Detection using 3D Skeletons. In IEEE International Conference on Image Processing Theory, Tools and Applications (IPTA). ![]() |
![]() ![]() | OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2018). Highway Network Block with Gates Constraints for Training Very Deep Networks. In 2018 IEEE International Conference on Computer Vision and Pattern Recognition Workshop, June 18-22, 2018. ![]() |
![]() ![]() | DEMISSE, G., PAPADOPOULOS, K., AOUADA, D., & OTTERSTEN, B. (2018). Pose Encoding for Robust Skeleton-Based Action Recognition. In CVPRW: Visual Understanding of Humans in Crowd Scene, Salt Lake City, Utah, June 18-22, 2018. ![]() |
![]() ![]() | BAPTISTA, R., GHORBEL, E., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2018). Key-Skeleton Based Feedback Tool for Assisting Physical Activity. In 2018 Zooming Innovation in Consumer Electronics International Conference (ZINC), 30-31 May 2018. ![]() |
![]() ![]() | OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2018). IMPROVING THE CAPACITY OF VERY DEEP NETWORKS WITH MAXOUT UNITS. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing. ![]() |
![]() ![]() | PAPADOPOULOS, K., Antunes, M., AOUADA, D., & OTTERSTEN, B. (2018). A Revisit of Action Detection using Improved Trajectories. In IEEE International Conference on Acoustics, Speech and Signal Processing, Calgary, Alberta, Canada, 15–20 April 2018. ![]() |
![]() ![]() | Afzal, H., AOUADA, D., Mirbach, B., & OTTERSTEN, B. (2018). Full 3D Reconstruction of Non-Rigidly Deforming Objects. ACM Transactions on Multimedia Computing, Communications, & Applications. doi:10.1145/3177756 ![]() |
![]() ![]() | BAPTISTA, R., Antunes, M., AOUADA, D., & OTTERSTEN, B. (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). ![]() |
![]() ![]() | DEMISSE, G., AOUADA, D., & OTTERSTEN, B. (2018). Deformation Based 3D Facial Expression Representation. ACM Transactions on Multimedia Computing, Communications, & Applications. doi:10.1145/3176649 ![]() |
![]() ![]() | SAINT, A. F. A., AHMED, E., SHABAYEK, A. E. R., CHERENKOVA, K., Gusev, G., AOUADA, D., & OTTERSTEN, B. (2018). 3DBodyTex: Textured 3D Body Dataset. In 2018 Sixth International Conference on 3D Vision (3DV 2018). ![]() |
![]() ![]() | SAINT, A. F. A., SHABAYEK, A. E. R., AOUADA, D., OTTERSTEN, B., Cherenkova, K., & Gusev, G. (2017). Towards Automatic Human Body Model Fitting to a 3D Scan. In N. D'APUZZO (Ed.), Proceedings of 3DBODY.TECH 2017 - 8th International Conference and Exhibition on 3D Body Scanning and Processing Technologies, Montreal QC, Canada, 11-12 Oct. 2017 (pp. 274-280). Ascona, Switzerland: Hometrica Consulting. doi:10.15221/17.274 ![]() |
![]() ![]() | OYEDOTUN, O., DEMISSE, G., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2017). Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations. In 2017 IEEE International Conference on Computer Vision Workshop (ICCVW). doi:10.1109/ICCVW.2017.374 ![]() |
![]() ![]() | OYEDOTUN, O., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2017). Training Very Deep Networks via Residual Learning with Stochastic Input Shortcut Connections. In 24th International Conference on Neural Information Processing, Guangzhou, China, November 14–18, 2017. ![]() |
![]() ![]() | GONCALVES ALMEIDA ANTUNES, M., Barreto, J. P., AOUADA, D., & OTTERSTEN, B. (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. ![]() |
![]() ![]() | PAPADOPOULOS, K., GONCALVES ALMEIDA ANTUNES, M., AOUADA, D., & OTTERSTEN, B. (2017). Enhanced Trajectory-based Action Recognition using Human Pose. In IEEE International Conference on Image Processing, Beijing 17-20 Spetember 2017. ![]() |
![]() ![]() | BAPTISTA, R., Antunes, M., SHABAYEK, A. E. R., AOUADA, D., & OTTERSTEN, B. (2017). Flexible Feedback System for Posture Monitoring and Correction. In IEEE International Conference on Image Information Processing (ICIIP). ![]() |
![]() ![]() | BAPTISTA, R., GONCALVES ALMEIDA ANTUNES, M., AOUADA, D., & OTTERSTEN, B. (2017). Video-Based Feedback for Assisting Physical Activity. In 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). ![]() |
![]() ![]() | SHABAYEK, A. E. R., AOUADA, D., SAINT, A. F. A., & OTTERSTEN, B. (2017). DEFORMATION TRANSFER OF 3D HUMAN SHAPES AND POSES ON MANIFOLDS. In IEEE International Conference on Image Processing, Beijing 17-20 Spetember 2017. ![]() |
![]() ![]() | Correa Bahnsen, A., Villegas, S., AOUADA, D., & OTTERSTEN, B. (2017). Fraud Detection by Stacking Cost-Sensitive Decision Trees. In Data Science for Cyber-Security (DSCS), London 25-27 September. ![]() |
![]() ![]() | SHABAYEK, A. E. R., BAPTISTA, R., PAPADOPOULOS, K., Demisse, G., OYEDOTUN, O., Antunes, M., AOUADA, D., OTTERSTEN, B., Anastassova, M., Boukallel, M., Panëels, S., Randall, G., André, M., Douchet, A., Bouilland, S., & Ortiz Fernandez, L. (2017). STARR - Decision SupporT and self-mAnagement system for stRoke survivoRs Vision based Rehabilitation System. In European Project Space on Networks, Systems and Technologies (pp. 69-80). SciTePress. doi:10.5220/0007902400690080 |
![]() ![]() | DEMISSE, G., AOUADA, D., & OTTERSTEN, B. (2017). Deformation Based Curved Shape Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence. doi:10.1109/TPAMI.2017.2711607 ![]() |
![]() ![]() | Al Ismaeil, K., AOUADA, D., Solignac, T., Mirbach, B., & OTTERSTEN, B. (27 October 2016). Real-Time Enhancement of Dynamic Depth Videos with Non-Rigid Deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39 (10), 2045-2059. doi:10.1109/TPAMI.2016.2622698 ![]() |
![]() ![]() | DEMISSE, G., AOUADA, D., & OTTERSTEN, B. (2016). Similarity Metric For Curved Shapes In Euclidean Space. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016. doi:10.1109/CVPR.2016.545 ![]() |
![]() ![]() | Correa Bahnsen, A., AOUADA, D., Stojanovic, A., & OTTERSTEN, B. (2016). Feature Engineering Strategies for Credit Card Fraud Detection. Expert Systems with Applications, 51, 134–142. doi:10.1016/j.eswa.2015.12.030 ![]() |
![]() ![]() | GONCALVES ALMEIDA ANTUNES, M., AOUADA, D., & OTTERSTEN, B. (2016). A Revisit to Human Action Recognition from Depth Sequences: Guided SVM-Sampling for Joint Selection. In IEEE Winter Conference on Applications of Computer Vision (WACV), 2016. ![]() |
![]() ![]() | Al Ismaeil, K., AOUADA, D., Mirbach, B., & OTTERSTEN, B. (2016). Enhancement of Dynamic Depth Scenes by Upsampling for Precise Super-Resolution (UP-SR). Computer Vision and Image Understanding. doi:10.1016/j.cviu.2016.04.006 ![]() |
![]() ![]() | GONCALVES ALMEIDA ANTUNES, M., BAPTISTA, R., DEMISSE, G., AOUADA, D., & OTTERSTEN, B. (2016). Visual and human-interpretable feedback for assisting physical activity. In European Conference on Computer Vision (ECCV) Workshop on Assistive Computer Vision and Robotics Amsterdam. ![]() |
![]() ![]() | Rocco, I., GONCALVES ALMEIDA ANTUNES, M., AOUADA, D., & OTTERSTEN, B. (2016). RGB-D and Thermal Sensor Fusion. In 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP). ![]() |
![]() ![]() | Correa Bahnsen, A., AOUADA, D., Stojanovic, A., & OTTERSTEN, B. (2015). Detecting Credit Card Fraud using Periodic Features. In IEEE International Conference on Machine Learning and Applications. ![]() |
![]() ![]() | CORREA BAHNSEN, A., AOUADA, D., & OTTERSTEN, B. (01 November 2015). Example-Dependent Cost-Sensitive Decision Trees. Expert Systems with Applications, 42 (19), 6609-6619. doi:10.1016/j.eswa.2015.04.042 ![]() |
![]() ![]() | GARCIA BECERRO, F., AOUADA, D., Mirbach, B., Solignac, T., & OTTERSTEN, B. (September 2015). Unified Multi-Lateral Filter for Real-Time Depth Map Enhancement. Image and Vision Computing, 41, 26-42. doi:10.1016/j.imavis.2015.06.008 ![]() |
![]() ![]() | CORREA BAHNSEN, A., AOUADA, D., & OTTERSTEN, B. (13 June 2015). A novel cost-sensitive framework for customer churn predictive modeling. Decision Analytics, 2 (5). doi:10.1186/s40165-015-0014-6 ![]() |
![]() ![]() | AL ISMAEIL, K., AOUADA, D., Solignac, T., Mirbach, B., & OTTERSTEN, B. (2015). Real-Time Non-Rigid Multi-Frame Depth Video Super-Resolution. In IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'15), (Best paper award). ![]() |
![]() ![]() | AOUADA, D., AL ISMAEIL, K., & OTTERSTEN, B. (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). ![]() |
![]() ![]() | AFZAL, H., AOUADA, D., Destelle, F., Mirbach, B., & OTTERSTEN, B. (2015). View-Independent Enhanced 3D Reconstruction of Non-Rigidly Deforming Objects. In 16th International Conference on Computer Analysis of Images and Patterns. doi:10.1007/978-3-319-23117-4_61 ![]() |
![]() ![]() | Bahnsen, A. C., AOUADA, D., & OTTERSTEN, B. (2015). Ensemble of Example-Dependent Cost-Sensitive Decision Trees. arXiv preprint arXiv:1505.04637. doi:10.1016/j.eswa.2015.04.042 ![]() |
![]() ![]() | DEMISSE, G., AOUADA, D., & OTTERSTEN, B. (2015). Template-Based Statistical Shape Modelling on Deformation Space. In 22nd IEEE International Conference on Image Processing. ![]() |
![]() ![]() | CORREA BAHNSEN, A., AOUADA, D., & OTTERSTEN, B. (2014). Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring. In 2014 13th International Conference on Machine Learning and Applications (pp. 263-269). Detroit, United States: IEEE. doi:10.1109/ICMLA.2014.48 ![]() |
![]() ![]() | AOUADA, D., & KHADER, D. (2014). SPN2: Single-Sided Privacy Preserving Nearest Neighbor and its Application to Face Recognition. In 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS'14). doi:10.1109/AVSS.2014.6918640 ![]() |
![]() ![]() | AFZAL, H., AOUADA, D., Fofi, D., Mirbach, B., & OTTERSTEN, B. (2014). RGB-D Multi-View System Calibration for Full 3D Scene Reconstruction. In 22nd International Conference on Pattern Recognition (ICPR'14). ![]() |
![]() ![]() | CORREA BAHNSEN, A., STOJANOVIC, A., AOUADA, D., & OTTERSTEN, B. (2014). Improving Credit Card Fraud Detection with Calibrated Probabilities. In Proceedings of the fourteenth SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 (pp. 677-685). Philadelphia, United States: Society for Industrial and Applied Mathematics. ![]() |
![]() ![]() | AFZAL, H., AL ISMAEIL, K., AOUADA, D., Destelle, F. O., Mirbach, B., & OTTERSTEN, B. (2014). KinectDeform: Enhanced 3D Reconstruction of Non-Rigidly Deforming Objects. In Second International Conference on 3D Vision. Tokyo, Japan: IEEE Computer Society's Conference Publishing Services (CPS). ![]() |
![]() ![]() | AOUADA, D., AL ISMAEIL, K., Kedir Idris, K., & OTTERSTEN, B. (2014). Surface UP-SR for an Improved Face Recognition Using Low Resolution Depth Cameras. In 11th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS'14). ![]() |
![]() ![]() | AL ISMAEIL, K., AOUADA, D., Mirbach, B., & OTTERSTEN, B. (2013). Dynamic Super Resolution of Depth Sequences with Non-Rigid Motions. In 20th International Conference on Image Processing. doi:10.1109/ICIP.2013.6738136 ![]() |
![]() ![]() | GARCIA BECERRO, F., AOUADA, D., Solignac, T., Mirbach, B., & OTTERSTEN, B. (2013). Real-time depth enhancement by fusion for RGB-D cameras. IET Computer Vision, 7 (5), 335 – 345. doi:10.1049/iet-cvi.2012.0289 ![]() |
![]() ![]() | AL ISMAEIL, K., AOUADA, D., Mirbach, B., & OTTERSTEN, B. (2013). Mutli-Frame Super-Resolution by Enhanced Shift & Add. In 8th International Symposium on Image and Signal Processing and Analysis. ![]() |
![]() ![]() | AL ISMAEIL, K., AOUADA, D., Mirbach, B., & OTTERSTEN, B. (2013). Depth Super-Resolution by Enhanced Shift and Add. In Computer Analysis of Images and Patterns, 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II (pp. 100-107). Springer Berlin Heidelberg. doi:10.1007/978-3-642-40246-3_13 ![]() |
![]() ![]() | CORREA BAHNSEN, A., STOJANOVIC, A., AOUADA, D., & OTTERSTEN, B. (2013). Cost Sensitive Credit Card Fraud Detection using Bayes Minimum Risk. In 12th International Conference on Machine Learning and Applications (pp. 333-338). IEEE Computer Society. doi:10.1109/ICMLA.2013.68 ![]() |
![]() ![]() | GARCIA BECERRO, F., AOUADA, D., Mirbach, B., & OTTERSTEN, B. (2012). Real-Time Distance-Dependent Mapping for a Hybrid ToF Multi-Camera Rig. IEEE Journal of Selected Topics in Signal Processing, 6 (5), 1-12. doi:10.1109/JSTSP.2012.2207090 ![]() |
![]() ![]() | GARCIA BECERRO, F., AOUADA, D., ABDELLA, H. K., Solignac, T., Mirbach, B., & OTTERSTEN, B. (2012). Depth Enhancement by Fusion for Passive and Active Sensing. In Computer Vision – ECCV 2012. Workshops and Demonstrations (pp. 506-515). Springer Berlin Heidelberg. ![]() |
![]() ![]() | GARCIA BECERRO, F., AOUADA, D., Mirbach, B., & OTTERSTEN, B. (2012). Spatio-Temporal ToF Data Enhancement by Fusion. In 19th IEEE International Conference on Image Processing (pp. 981 - 984). ![]() |
![]() ![]() | AL ISMAEIL, K., AOUADA, D., Mirbach, B., & OTTERSTEN, B. (2012). Bilateral Filter Evaluation Based on Exponential Kernels. In Pattern Recognition (ICPR), 2012 21st International Conference on (pp. 258 - 261). IEEE Xplore. ![]() |
![]() ![]() | GARCIA BECERRO, F., AOUADA, D., Mirbach, B., Solignac, T., & OTTERSTEN, B. (2011). Real-Time Hybrid ToF Multi-Camera Rig Fusion System for Depth Map Enhancement. In 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (pp. 1-8). ![]() |
![]() ![]() | GARCIA BECERRO, F., AOUADA, D., Mirbach, B., Solignac, T., & OTTERSTEN, B. (2011). A New Multi-Lateral Filter for Real-Time Depth Enhancement. In 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (pp. 42-47). doi:10.1109/AVSS.2011.6027291 ![]() |
![]() ![]() | GARCIA BECERRO, F., AOUADA, D., Mirbach, B., & OTTERSTEN, B. (2011). A New 1-D Colour Model and its Application to Image Filtering. In 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA) (pp. 134-138). IEEE Xplore. ![]() |
![]() ![]() | GARCIA BECERRO, F., AOUADA, D., Mirbach, B., & OTTERSTEN, B. (2011). Spiral Colour Model: Reduction from 3-D to 2-D. In International Conference on Acoustics, Speech and Signal Processing (pp. 1305 - 1308). doi:10.1109/ICASSP.2011.5946651 ![]() |
![]() ![]() | Nagaraja, S., SCHAFFER, P., & AOUADA, D. (2011). Who Clicks There!: Anonymizing the Photographer in a Camera Saturated Society. In Workshop on Privacy in the Electronic Society (WPES) (pp. 13-22). ![]() |
![]() ![]() | AOUADA, D., & Krim, H. (2010). Squigraphs for Fine and Compact Modeling of 3-D shapes. IEEE Transactions on Image Processing, 19, 306-321. doi:10.1109/TIP.2009.2034693 ![]() |
![]() ![]() | AOUADA, D., Baryshnikov, Y., & Krim, H. (2010). Mahalanobis-based Adaptive Nonlinear Dimension Reduction. In 20th International Conference on Pattern Recognition (pp. 742 - 745). IEEE Xplore. ![]() |
![]() ![]() | AOUADA, D., & Krim, H. (2009). Novel similarity invariant for space curves using turning angles and its application to object recognition. In IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009 (pp. 1277 - 1280). doi:10.1109/ICASSP.2009.4959824 ![]() |
![]() ![]() | AOUADA, D., & Krim, H. (2009). Meaningful 3D shape partitioning using Morse functions. In 2009 16th IEEE International Conference on Image Processing (pp. 417 - 420). ![]() |
![]() ![]() | AOUADA, D., & Krim, H. (2008). 3D Object Recognition Using Fully Intrinsic Skeletal Graphs. In International Conference on Computational Imaging, 2008 (pp. 1 - 8). doi:10.1117/12.774868 ![]() |
![]() ![]() | AOUADA, D., Dreisigmeyer, D., & Krim, H. (2008). Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08 (pp. 1-8). doi:10.1109/CVPRW.2008.4563075 ![]() |
![]() ![]() | Feng, S., AOUADA, D., Krim, H., & Kogan, I. (2007). 3D Mixed Invariant and its Application on Object Classification. In IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007 (pp. 461 - 464). doi:10.1109/ICASSP.2007.366716 ![]() |
![]() ![]() | AOUADA, D., Feng, S., & Krim, H. (2007). Statistical Analysis of the Global Geodesic Function for 3D Object Classification. In IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007 (pp. 645- 648). doi:10.1109/ICASSP.2007.365990 ![]() |
![]() ![]() | LORENTZ, J., Hartmann, T., Moawad, A., & AOUADA, D. (n.d.). Industrial defect detection on the edge with deep learning over scarcely labeled and extremely imbalanced data. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/54839. |