Leveraging Equivariant Features for Absolute Pose Regression

no code implementations • CVPR 2022 • Mohamed Adel Musallam, Vincent Gaudilliere, Miguel Ortiz del Castillo, Kassem Al Ismaeil, Djamila Aouada

While end-to-end approaches have achieved state-of-the-art performance in many perception tasks, they are not yet able to compete with 3D geometry-based methods in pose estimation.

Image Retrieval Pose Estimation +3

LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network

no code implementations • 19 Apr 2021 • Albert Garcia, Mohamed Adel Musallam, Vincent Gaudilliere, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Perez, Djamila Aouada

Being capable of estimating the pose of uncooperative objects in space has been proposed as a key asset for enabling safe close-proximity operations such as space rendezvous, in-orbit servicing and active debris removal.

Pose Estimation Spacecraft Pose Estimation

SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment

no code implementations • 13 Apr 2021 • Mohamed Adel Musallam, Kassem Al Ismaeil, Oyebade Oyedotun, Marcos Damian Perez, Michel Poucet, Djamila Aouada

This paper proposes the SPARK dataset as a new unique space object multi-modal image dataset.

Object Object Recognition

Towards Generalization of 3D Human Pose Estimation In The Wild

no code implementations • 21 Apr 2020 • Renato Baptista, Alexandre Saint, Kassem Al Ismaeil, Djamila Aouada

Retraining a state-of-the-art 3D pose estimation approach using data augmented with 3DBodyTex. Pose showed promising improvement in the overall performance, and a sensible decrease in the per joint position error when testing on challenging viewpoints.

3D Human Pose Estimation 3D Pose Estimation