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GAUDILLIERE Vincent

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
437 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

29 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

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

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

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.

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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