Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Ciaran Eising"'
Autor:
Daniel Jakab, Eoin Martino Grua, Reenu Mohandas, Brian Michael Deegan, Anthony Scanlan, Dara Molloy, Enda Ward, Ciaran Eising
Publikováno v:
IEEE Access, Vol 12, Pp 145637-145670 (2024)
Measuring optical quality in camera lenses is crucial in evaluating cameras, especially for safety-critical visual perception tasks in automotive driving. While ground-truth labels and annotations are provided in publicly available automotive dataset
Externí odkaz:
https://doaj.org/article/1de639ac2b1b4ea8b3ee12a11a2a7c7c
Autor:
Cathaoir Agnew, Anthony Scanlan, Patrick Denny, Eoin M. Grua, Pepijn van de Ven, Ciaran Eising
Publikováno v:
IEEE Access, Vol 12, Pp 140958-140977 (2024)
Deep learning-based computer vision models are typically data-hungry, resulting in the rise of dataset sizes. The consensus for computer vision datasets is that larger datasets lead to better model performance. However, the quality of the datasets is
Externí odkaz:
https://doaj.org/article/f006d2cd7dea40b48b555a36e94d9a40
Publikováno v:
IEEE Access, Vol 12, Pp 141306-141323 (2024)
The development of vision and language transformer models has paved the way for Visual Question Answering (VQA) models and related research. There are metrics to assess the general accuracy of VQA models but subjective assessment of the answers gener
Externí odkaz:
https://doaj.org/article/4c799dda1adf4dd59b2d459f269b5cc1
Publikováno v:
IEEE Access, Vol 12, Pp 132159-132174 (2024)
Predicting the trajectory of the ego vehicle is a critical task for autonomous vehicles. Even though traffic regulations have defined boundaries, various behaviors of the agents in real-life situations introduce complexities that are hard to capture
Externí odkaz:
https://doaj.org/article/c92ba10500ec4ceaa470ecf4984aa8ce
Autor:
Dishant Mewada, Cathaoir Agnew, Eoin M. Grua, Ciaran Eising, Patrick Denny, Mark Heffernan, Ken Tierney, Pepijn van de Ven, Anthony Scanlan
Publikováno v:
IEEE Access, Vol 12, Pp 129434-129446 (2024)
As the global production of waste continues to rise, there is a growing demand for more effective waste management strategies to handle this expanding problem. Recycling rates in the United States for recyclable materials are below 35%, resulting in
Externí odkaz:
https://doaj.org/article/564aedf946a640a69d340fdc8acf1809
Publikováno v:
IEEE Access, Vol 12, Pp 113259-113274 (2024)
Graph Neural Networks (GNNs) offer a promising direction for medical image analysis, particularly due to their ability to capture complex relationships and handle non-Euclidean data structures often encountered in this domain. This study aims to demo
Externí odkaz:
https://doaj.org/article/76a1d4fd55d3452cab932147712c0115
Publikováno v:
IEEE Access, Vol 12, Pp 66845-66857 (2024)
Supervised deep learning methods have produced state-of-the-art results with large labeled datasets. However, accessing large labeled datasets is difficult in medical image analysis because of a shortage of medical experts, expensive annotations, and
Externí odkaz:
https://doaj.org/article/a208c9fda3cf4e709984cd783990b9e9
Autor:
Hao Lin, Ashkan Parsi, Darragh Mullins, Jonathan Horgan, Enda Ward, Ciaran Eising, Patrick Denny, Brian Deegan, Martin Glavin, Edward Jones
Publikováno v:
Journal of Imaging, Vol 10, Iss 7, p 153 (2024)
In recent years, significant advances have been made in the development of Advanced Driver Assistance Systems (ADAS) and other technology for autonomous vehicles. Automated object detection is a crucial component of autonomous driving; however, there
Externí odkaz:
https://doaj.org/article/a00655bb1f2c4159865e88b81815af46
Publikováno v:
IEEE Access, Vol 11, Pp 145869-145896 (2023)
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-driven infrastructure that highly relies on smart sensing devices (i.e., blood pressure monitors, temperature sensors, etc.) for faster response time, treatmen
Externí odkaz:
https://doaj.org/article/a6901c32b0f04b6d848dcfc2e29eb074
Autor:
Subhrajyoti Dasgupta, Arindam Das, Senthil Yogamani, Sudip Das, Ciaran Eising, Andrei Bursuc, Ujjwal Bhattacharya
Publikováno v:
IEEE Access, Vol 11, Pp 87760-87774 (2023)
Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving. A solution to this would be to eliminate shadow regions from the ima
Externí odkaz:
https://doaj.org/article/7d8ddc052d3541ad80263968ec8d80ec