26 citations · 27 across the 6 of their papers we have counts for
6 papers
Subgraph Clustering and Atom Learning for Improved Image Classification
Aryan Singh, Pepijn Van de Ven, Ciarán Eising +1
In this study, we present the Graph Sub-Graph Network (GSN), a novel hybrid image classification model merging the strengths of Convolutional Neural Networks (CNNs) for feature ext…
Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges
Daniel Jakab, Brian Michael Deegan, Sushil Sharma +6
In this paper, we provide a survey on automotive surround-view fisheye optics, with an emphasis on the impact of optical artifacts on computer vision tasks in autonomous driving an…
Measuring Natural Scenes SFR of Automotive Fisheye Cameras
Daniel Jakab, Eoin Martino Grua, Brian Micheal Deegan +3
The Modulation Transfer Function (MTF) is an important image quality metric typically used in the automotive domain. However, despite the fact that optical quality has an impact on…
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images
Aryan Singh, Pepijn Van de Ven, Ciarán Eising +1
Deep learning models have demonstrated remarkable results for various computer vision tasks, including the realm of medical imaging. However, their application in the medical domai…
Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification
Aryan Singh, Pepijn Van de Ven, Ciarán Eising +1
Graph-based neural network models are gaining traction in the field of representation learning due to their ability to uncover latent topological relationships between entities tha…
Spatial fairness in linear wireless multi-access networks
P. M. van de Ven, J. S. H. van Leeuwaarden, D. Denteneer +1
Multi-access networks may exhibit severe unfairness in throughput. Recent studies show that this unfairness is due to local differences in the neighborhood structure: Nodes with le…