2 citations · 2 across the 2 of their papers we have counts for
4 papers
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
Romain Hermary, Vincent Gaudillière, Abd El Rahman Shabayek +1
One-class anomaly detection aims to detect objects that do not belong to a predefined normal class. In practice training data lack those anomalous samples; hence state-of-the-art m…
Hybrid Attention for Robust RGB-T Pedestrian Detection in Real-World Conditions
Arunkumar Rathinam, Leo Pauly, Abd El Rahman Shabayek +4
Multispectral pedestrian detection has gained significant attention in recent years, particularly in autonomous driving applications. To address the challenges posed by adversarial…
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.…
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…