Mohamed Adel Musallam — accepted AI-conference papers

2023

3D-Aware Object Localization using Gaussian Implicit Occupancy Function

Vincent Gaudillière, Leo Pauly, Arunkumar Rathinam, Albert Garcia Sanchez, Mohamed Adel Musallam, Djamila Aouada

IROS 2023poster

To automatically localize a target object in an image is crucial for many computer vision applications. To represent the 2D object, ellipse labels have recently been identified as a promising alternative to axis-aligned bounding boxes. This paper further considers 3D-aware ellipse labels, i.e., elli…

Cited by 5 Source ↗Scholar ↗

2022

Leveraging Equivariant Features for Absolute Pose Regression

Mohamed Adel Musallam, Vincent Gaudillière, Miguel Ortiz del Castillo, Kassem Al Ismaeil, Djamila Aouada

CVPR 2022poster

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. Moreover, absolute pose regression has been shown to be more related to image retrieval. As a result, we hypothesize th…

Cited by 35 PDF ↗Scholar ↗