Pepijn van de Ven

According to our database, Pepijn van de Ven authored at least 31 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Daniel Jakab, Brian Michael Deegan, Sushil Sharma, Eoin Martino Grua, Jonathan Horgan, Enda Ward, Pepijn van de Ven, Anthony G. Scanlan, Ciarán Eising

IEEE Trans. Intell. Transp. Syst., September, 2024

Pretraining instance segmentation models with bounding box annotations.

Cathaoir Agnew, Eoin Martino Grua, Pepijn van de Ven, Patrick Denny, Ciarán Eising, Anthony G. Scanlan

Intell. Syst. Appl., 2024

Subgraph Clustering and Atom Learning for Improved Image Classification.

Aryan Singh, Pepijn van de Ven, Ciarán Eising, Patrick Denny

CoRR, 2024

Measuring Natural Scenes SFR of Automotive Fisheye Cameras.

Daniel Jakab, Eoin Martino Grua, Brian Micheal Deegan, Anthony G. Scanlan, Pepijn van de Ven, Ciarán Eising

CoRR, 2024

Dynamic Filter Application in Graph Convolutional Networks for Enhanced Spectral Feature Analysis and Class Discrimination in Medical Imaging.

Aryan Singh, Pepijn van de Ven, Ciarán Eising, Patrick Denny

IEEE Access, 2024

Contamination Detection From Highly Cluttered Waste Scenes Using Computer Vision.

Dishant Mewada, Cathaoir Agnew, Eoin Martino Grua, Ciarán Eising, Patrick Denny, Mark Heffernan, Ken Tierney, Pepijn van de Ven, Anthony G. Scanlan

IEEE Access, 2024

PatchLoc: Embedded Patch Localization Pretext Task for Tumor Segmentation in Medical Images.

Ramchandra Cheke, Ciarán Eising, Patrick Denny, Pepijn van de Ven

IEEE Access, 2024

Annotation Quality Versus Quantity for Object Detection and Instance Segmentation.

Cathaoir Agnew, Anthony G. Scanlan, Patrick Denny, Eoin Martino Grua, Pepijn van de Ven, Ciarán Eising

IEEE Access, 2024

2023

Detecting the overfilled status of domestic and commercial bins using computer vision.

Cathaoir Agnew, Dishant Mewada, Eoin Martino Grua, Ciarán Eising, Patrick Denny, Mark Heffernan, Ken Tierney, Pepijn van de Ven, Anthony G. Scanlan

Intell. Syst. Appl., May, 2023

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

Aryan Singh, Pepijn van de Ven, Ciarán Eising, Patrick Denny

CoRR, 2023

Quantifying the Effects of Ground Truth Annotation Quality on Object Detection and Instance Segmentation Performance.

Cathaoir Agnew, Ciarán Eising, Patrick Denny, Anthony G. Scanlan, Pepijn van de Ven, Eoin Martino Grua

IEEE Access, 2023

Machine Learning Models for Depression Detection Using the Concept of Perceived Control.

Prosper Azaglo, Pepijn van de Ven, Rachel M. Msetfi, John Nelson

Proceedings of the Advances in Computational Intelligence, 2023

Augmenting the Human in Industry 4.0 to Add Value: A Taxonomy of Human Augmentation Approach.

Jacqueline Humphries, Pepijn van de Ven, Alan Ryan

Proceedings of the Computer-Human Interaction Research and Applications, 2023

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

Aryan Singh, Pepijn van de Ven, Ciarán Eising, Patrick Denny

Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

2022

FisheyePixPro: Self-supervised pretraining using Fisheye images for semantic segmentation.

Ramchandra Cheke, Ganesh Sistu, Ciarán Eising, Pepijn van de Ven, Varun Ravi Kumar, Senthil Kumar Yogamani

Proceedings of the Autonomous Vehicles and Machines 2022, online, January 15-26, 2022, 2022

Aerial Object Detection for Water-Based Search & Rescue.

Eoghan Mulcahy, Pepijn van de Ven, John Nelson

Proceedings of the Artificial Intelligence and Cognitive Science - 30th Irish Conference, 2022

2020

Streetseek - Understanding Public Space Engagement Using Deep Learning & Thermal Imaging.

Ciarán O' Mara, Eoghan Mulcahy, Pepijn van de Ven, John Nelson

Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020

2017

Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness.

Ariel Soares Teles, Artur Rocha, Francisco José da Silva e Silva, João Correia Lopes, Donal O'Sullivan, Pepijn van de Ven, Markus Endler

Sensors, 2017

2016

Video analysis validation of a real-time physical activity detection algorithm based on a single waist mounted tri-axial accelerometer sensor.

Alan K. Bourke, Espen A. F. Ihlen, Pepijn van de Ven, John Nelson, Jorunn L. Helbostad

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Towards Situation-Aware Mobile Applications in Mental Health.

Ariel Soares Teles, Artur Rocha, Francisco José Silva, João Correia Lopes, Donal O'Sullivan, Pepijn van de Ven, Markus Endler

Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

2014

Multi-Sensor Fusion for Enhanced Contextual Awareness of Everyday Activities with Ubiquitous Devices.

John J. Guiry, Pepijn van de Ven, John Nelson

Sensors, 2014

A single vs. multi-sensor approach to enhanced detection of smartphone placement.

John J. Guiry, Chris J. Karr, Pepijn van de Ven, John Nelson, Mark Begale

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Innovations in health care services: The CAALYX system.

Artur Rocha, Angelo Martins, José Celso Freire Junior, Maged N. Kamel Boulos, Manuel Escriche Vicente, Robert Feld, Pepijn van de Ven, John Nelson, Alan Bourke, Gearóid Ó Laighin, Claudio Sdogati, Angela Jobes, Leire Narvaiza, Alejandro Rodríguez-Molinero

Int. J. Medical Informatics, 2013

2012

Innovative ICT Solutions to Improve Treatment Outcomes for Depression: The ICT4Depression Project.

Lisanne Warmerdam, Heleen Riper, Michel C. A. Klein, Pepijn van de Ven, Artur Rocha, Mario Ricardo Henriques, Eric Tousset, Hugo Silva, Gerhard Andersson, Pim Cuijpers

Proceedings of the Annual Review of Cybertherapy and Telemedicine 2012, 2012

ICT4Depression: Service oriented architecture applied to the treatment of depression.

Artur Rocha, Mario Ricardo Henriques, João Correia Lopes, Rui Camacho, Michel C. A. Klein, Gabriele Modena, Pepijn van de Ven, Elaine McGovern, Eric Tousset, Thibaut Gauthier, Lisanne Warmerdam

Proceedings of CBMS 2012, 2012

2008

A wearable wireless platform for fall and mobility monitoring.

Pepijn van de Ven, Alan Bourke, John Nelson, Gearóid Ó Laighin

Proceedings of the 1st ACM International Conference on Pervasive Technologies Related to Assistive Environments, 2008

A wireless platform for fall and mobility monitoring in health care.

Pepijn van de Ven, Alan Bourke, John Nelson, Gearóid Ó Laighin

Proceedings of the 3rd International ICST Conference on Body Area Networks, 2008

2007

Robust Active Queue Management using a Quantitative Feedback Theory Based Loop-Shaping Framework.

Martin J. Hayes, Seyed Mohammad Mahdi Alavi, Pepijn van de Ven

Proceedings of the American Control Conference, 2007

2005

Neural network control of underwater vehicles.

Pepijn van de Ven, Colin Flanagan, Daniel J. F. Toal

Eng. Appl. Artif. Intell., 2005

2004

Identification and control of underwater vehicles with the aid of neural networks.

Pepijn van de Ven, Colin Flanagan, Daniel J. F. Toal, Edin Omerdic

Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004

2002

Analysis and design of an optimally coupled 5-GHz quadrature LC oscillator.

Johan van der Tang, Pepijn van de Ven, Dieter Kasperkovitz, Arthur H. M. van Roermund

IEEE J. Solid State Circuits, 2002