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GAUDILLIERE Vincent

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > CVI2

Main Referenced Co-authors
AOUADA, Djamila  (13)
MOHAMED ALI, Mohamed Adel  (9)
RATHINAM, Arunkumar  (6)
PAULY, Leo  (5)
AL ISMAEIL, Kassem  (3)
Main Referenced Keywords
Computer Science - Computer Vision and Pattern Recognition (3); Computer Vision (3); Deep Learning (3); Artificial Intelligence (2); Pose Estimation (2);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Computer Vision Imaging & Machine Intelligence (CVI²) (3)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > CVI² - Computer Vision Imaging & Machine Intelligence (2)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Other (1)
University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > > (1)
Main Referenced Disciplines
Computer science (10)
Engineering, computing & technology: Multidisciplinary, general & others (3)
Aerospace & aeronautics engineering (2)

Publications (total 15)

The most downloaded
371 downloads
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). https://hdl.handle.net/10993/48797

The most cited

23 citations (Scopus®)

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 https://hdl.handle.net/10993/47169

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
Peer Reviewed verified by ORBi

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
Peer reviewed

GAUDILLIERE, V., SIMON, G., & BERGER, M.-O. (September 2023). Perspective-1-Ellipsoid: Formulation, Analysis and Solutions of the Camera Pose Estimation Problem from One Ellipse-Ellipsoid Correspondence. International Journal of Computer Vision, 131 (9), 2446 - 2470. doi:10.1007/s11263-023-01794-x
Peer Reviewed verified by ORBi

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.
Peer reviewed

Musallam, M. A., Gaudilliere, V., & Aouada, D. (2023). Self-Supervised Learning for Place Representation Generalization across Appearance Changes. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/54717.

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
Peer Reviewed verified by ORBi

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
Peer Reviewed verified by ORBi

MOHAMED ALI, M. A.* , GAUDILLIERE, V., & AOUADA, D. (2023). Self-Supervised Learning for Place Representation Generalization across Appearance Changes. Machine Vision and Applications.
Peer Reviewed verified by ORBi

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.

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).
Peer reviewed

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.
Peer reviewed

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.

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.

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
Peer reviewed

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).
Peer reviewed

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