Kareem A. Eltouny

According to our database, Kareem A. Eltouny authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Dmg2Former-AR: Vision Transformers with Adaptive Rescaling for High-Resolution Structural Visual Inspection.

Kareem A. Eltouny, Seyedomid Sajedi, Xiao Liang

Sensors, September, 2024

DE-TGN: Uncertainty-Aware Human Motion Forecasting Using Deep Ensembles.

Kareem A. Eltouny, Wansong Liu, Sibo Tian, Minghui Zheng, Xiao Liang

IEEE Robotics Autom. Lett., 2024

Integrating Uncertainty-Aware Human Motion Prediction into Graph-Based Manipulator Motion Planning.

Wansong Liu, Kareem A. Eltouny, Sibo Tian, Xiao Liang, Minghui Zheng

CoRR, 2024

KG-Planner: Knowledge-Informed Graph Neural Planning for Collaborative Manipulators.

Wansong Liu, Kareem A. Eltouny, Sibo Tian, Xiao Liang, Minghui Zheng

CoRR, 2024

2023

Unsupervised Learning Methods for Data-Driven Vibration-Based Structural Health Monitoring: A Review.

Kareem A. Eltouny, Mohamed Gomaa, Xiao Liang

Sensors, March, 2023

Large-scale structural health monitoring using composite recurrent neural networks and grid environments.

Kareem A. Eltouny, Xiao Liang

Comput. Aided Civ. Infrastructure Eng., February, 2023

High-Resolution Vision Transformers for Pixel-Level Identification of Structural Components and Damage.

Kareem A. Eltouny, Seyedomid Sajedi, Xiao Liang

CoRR, 2023

2022

Uncertainty-Assisted Image-Processing for Human-Robot Close Collaboration.

Seyedomid Sajedi, Wansong Liu, Kareem A. Eltouny, Sara Behdad, Minghui Zheng, Xiao Liang

IEEE Robotics Autom. Lett., 2022

High-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers.

Kareem A. Eltouny, Seyedomid Sajedi, Xiao Liang

CoRR, 2022

2021

Bayesian-optimized unsupervised learning approach for structural damage detection.

Kareem A. Eltouny, Xiao Liang

Comput. Aided Civ. Infrastructure Eng., 2021