156 citations · 156 across the 6 of their papers we have counts for
8 papers
H-SLAM: Hybrid Direct-Indirect Visual SLAM
Georges Younes, Douaa Khalil, John Zelek +1
The recent success of hybrid methods in monocular odometry has led to many attempts to generalize the performance gains to hybrid monocular SLAM. However, most attempts fall short…
OSPC: Online Sequential Photometric Calibration
Jawad Haidar, Douaa Khalil, Daniel Asmar
Photometric calibration is essential to many computer vision applications. One of its key benefits is enhancing the performance of Visual SLAM, especially when it depends on a dire…
Human-Robot Interaction via a Joint-Initiative Supervised Autonomy (JISA) Framework
Abbas Sidaoui, Naseem Daher, Daniel Asmar
In this paper, we propose and validate a Joint-Initiative Supervised Autonomy (JISA) framework for Human-Robot Interaction (HRI), in which a robot maintains a measure of its self-c…
The benefits of synthetic data for action categorization
Mohamad Ballout, Mohammad Tuqan, Daniel Asmar +2
In this paper, we study the value of using synthetically produced videos as training data for neural networks used for action categorization. Motivated by the fact that texture and…
Change your singer: a transfer learning generative adversarial framework for song to song conversion
Rema Daher, Mohammad Kassem Zein, Julia El Zini +2
Have you ever wondered how a song might sound if performed by a different artist? In this work, we propose SCM-GAN, an end-to-end non-parallel song conversion system powered by gen…
A Unified Formulation for Visual Odometry
Georges Younes, Daniel Asmar, John Zelek
Monocular Odometry systems can be broadly categorized as being either Direct, Indirect, or a hybrid of both. While Indirect systems process an alternative image representation to c…