1 citations · 1 across the 4 of their papers we have counts for
4 papers
A New Lightweight Hybrid Graph Convolutional Neural Network -- CNN Scheme for Scene Classification using Object Detection Inference
Ayman Beghdadi, Azeddine Beghdadi, Mohib Ullah +2
Scene understanding plays an important role in several high-level computer vision applications, such as autonomous vehicles, intelligent video surveillance, or robotics. However, t…
CD-COCO: A Versatile Complex Distorted COCO Database for Scene-Context-Aware Computer Vision
Ayman Beghdadi, Azeddine Beghdadi, Malik Mallem +2
The recent development of deep learning methods applied to vision has enabled their increasing integration into real-world applications to perform complex Computer Vision (CV) task…
Benchmarking performance of object detection under image distortions in an uncontrolled environment
Ayman Beghdadi, Malik Mallem, Lotfi Beji
The robustness of object detection algorithms plays a prominent role in real-world applications, especially in uncontrolled environments due to distortions during image acquisition…
D2SLAM: Semantic visual SLAM based on the Depth-related influence on object interactions for Dynamic environments
Ayman Beghdadi, Malik Mallem, Lotfi Beji
Considering the scene's dynamics is the most effective solution to obtain an accurate perception of unknown environments for real vSLAM applications. Most existing methods attempt…