50 citations · 51 across the 3 of their papers we have counts for
3 papers
Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network
Yusra Alkendi, Rana Azzam, Sajid Javed +2
Moving object segmentation is critical to interpret scene dynamics for robotic navigation systems in challenging environments. Neuromorphic vision sensors are tailored for motion p…
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network
Sanket Kachole, Yusra Alkendi, Fariborz Baghaei Naeini +2
In the context of robotic grasping, object segmentation encounters several difficulties when faced with dynamic conditions such as real-time operation, occlusion, low lighting, mot…
Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers
Yusra Alkendi, Rana Azzam, Abdulla Ayyad +3
Neuromorphic vision is a bio-inspired technology that has triggered a paradigm shift in the computer-vision community and is serving as a key-enabler for a multitude of application…