156 citations · 159 across the 5 of their papers we have counts for
6 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…
Arbitrary Shape Text Detection using Transformers
Zobeir Raisi, Georges Younes, John Zelek
Recent text detection frameworks require several handcrafted components such as anchor generation, non-maximum suppression (NMS), or multiple processing stages (e.g. label generati…
Causal Discovery from Sparse Time-Series Data Using Echo State Network
Haonan Chen, Bo Yuan Chang, Mohamed A. Naiel +4
Causal discovery between collections of time-series data can help diagnose causes of symptoms and hopefully prevent faults before they occur. However, reliable causal discovery can…
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…
FDMO: Feature Assisted Direct Monocular Odometry
Georges Younes, Daniel Asmar, John Zelek
Visual Odometry (VO) can be categorized as being either direct or feature based. When the system is calibrated photometrically, and images are captured at high rates, direct method…
Keyframe-based monocular SLAM: design, survey, and future directions
Georges Younes, Daniel Asmar, Elie Shammas +1
Extensive research in the field of monocular SLAM for the past fifteen years has yielded workable systems that found their way into various applications in robotics and augmented r…