Výsledky vyhledávání - "van de Ven, Pepijn"

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Subgraph Clustering and Atom Learning for Improved Image Classification

Autor: Singh, Aryan, Van de Ven, Pepijn, Eising, Ciarán, Denny, Patrick

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 extraction and Graph Neural Networks (GNNs) for structural modeling. GSN

Externí odkaz: http://arxiv.org/abs/2407.14772

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Surround-View Fisheye Optics in Computer Vision and Simulation: Survey and Challenges

Autor: Jakab, Daniel, Deegan, Brian Michael, Sharma, Sushil, Grua, Eoin Martino, Horgan, Jonathan, Ward, Enda, Van De Ven, Pepijn, Scanlan, Anthony, Eising, Ciarán

Publikováno v: IEEE Transactions on Intelligent Transportation Systems, 2024

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 and ADAS. The automotive industry has advanced in applying state-of-the-

Externí odkaz: http://arxiv.org/abs/2402.12041

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Measuring Natural Scenes SFR of Automotive Fisheye Cameras

Autor: Jakab, Daniel, Grua, Eoin Martino, Deegan, Brian Micheal, Scanlan, Anthony, Van De Ven, Pepijn, Eising, Ciarán

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 the performance of computer vision in vehicle automation, for many pu

Externí odkaz: http://arxiv.org/abs/2401.05232

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Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images

Autor: Singh, Aryan, Van de Ven, Pepijn, Eising, Ciarán, Denny, Patrick

Publikováno v: AICS 2023

Deep learning models have demonstrated remarkable results for various computer vision tasks, including the realm of medical imaging. However, their application in the medical domain is limited due to the requirement for large amounts of training data

Externí odkaz: http://arxiv.org/abs/2311.07321

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Akademický článek

Using Mobile Phones to Examine and Enhance Perceptions of Control in Mildly Depressed and Nondepressed Volunteers: Intervention Study

Autor: Msetfi, Rachel, O'Sullivan, Donal, Walsh, Amy, Nelson, John, Van de Ven, Pepijn

Publikováno v: JMIR mHealth and uHealth, Vol 6, Iss 11, p e10114 (2018)

BackgroundPerceived control is strongly linked to healthy outcomes, mental healthiness, and psychological well-being. This is particularly important when people have little control over things that are happening to them. Perceived control studies hav

Externí odkaz: https://doaj.org/article/2896a0a77b2b4cc4b9afadc98b61e6d0

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Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification

Autor: Singh, Aryan, Van de Ven, Pepijn, Eising, Ciarán, Denny, Patrick

Publikováno v: Proceedings of the Irish Machine Vision and Image Processing Conference 2023

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 that are otherwise challenging to identify. These models have been employ

Externí odkaz: http://arxiv.org/abs/2307.12790

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