J
Jean Lahoud
Researcher at King Abdullah University of Science and Technology
Publications - 16
Citations - 645
Jean Lahoud is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: Computer science & Feature (computer vision). The author has an hindex of 6, co-authored 10 publications receiving 429 citations. Previous affiliations of Jean Lahoud include University of Notre Dame.
Papers
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Proceedings ArticleDOI
2D-Driven 3D Object Detection in RGB-D Images
Jean Lahoud,Bernard Ghanem +1 more
TL;DR: The approach makes best use of the 2D information to quickly reduce the search space in 3D, benefiting from state-of-the-art 2D object detection techniques.
Journal ArticleDOI
Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications
TL;DR: Sim4CV as discussed by the authors is a photo-realistic training and evaluation simulator with extensive applications across various fields of computer vision, including autonomous driving and tracking of moving objects using supervised learning.
Posted Content
3D Instance Segmentation via Multi-Task Metric Learning
TL;DR: This work proposes a novel method for instance label segmentation of dense 3D voxel grids that achieves state-of-the-art performance on the ScanNet 3D instance segmentation benchmark.
Proceedings ArticleDOI
3D Instance Segmentation via Multi-Task Metric Learning
TL;DR: In this paper, a multi-task learning strategy is proposed to learn an abstract feature embedding, which groups voxels with the same instance label close to each other while separating clusters with different instance labels from each other.
Journal ArticleDOI
Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications
TL;DR: A photo-realistic training and evaluation simulator with extensive applications across various fields of computer vision built on top of the Unreal Engine, which provides extensive synthetic data variety through its ability to reconfigure synthetic worlds on the fly using an automatic world generation tool.