25 citations · 73 across the 12 of their papers we have counts for
13 papers · 1 filter
Leveraging Equivariant Features for Absolute Pose Regression
Mohamed Adel Musallam, Vincent Gaudilliere, Miguel Ortiz del Castillo +2
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.…
Disentangled Face Identity Representations for joint 3D Face Recognition and Expression Neutralisation
Anis Kacem, Kseniya Cherenkova, Djamila Aouada
In this paper, we propose a new deep learning-based approach for disentangling face identity representations from expressive 3D faces. Given a 3D face, our approach not only extrac…
Face-GCN: A Graph Convolutional Network for 3D Dynamic Face Identification/Recognition
Konstantinos Papadopoulos, Anis Kacem, Abdelrahman Shabayek +1
Face identification/recognition has significantly advanced over the past years. However, most of the proposed approaches rely on static RGB frames and on neutral facial expressions…
SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment
Mohamed Adel Musallam, Kassem Al Ismaeil, Oyebade Oyedotun +3
This paper proposes the SPARK dataset as a new unique space object multi-modal image dataset. Image-based object recognition is an important component of Space Situational Awarenes…
LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network
Albert Garcia, Mohamed Adel Musallam, Vincent Gaudilliere +4
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-or…
PvDeConv: Point-Voxel Deconvolution for Autoencoding CAD Construction in 3D
Kseniya Cherenkova, Djamila Aouada, Gleb Gusev
We propose a Point-Voxel DeConvolution (PVDeConv) module for 3D data autoencoder. To demonstrate its efficiency we learn to synthesize high-resolution point clouds of 10k points th…