Mien Van — accepted AI-conference papers

2023

Towards More Efficient EfficientDets and Real-Time Marine Debris Detection

Federico Zocco, Tzu-Chieh Lin, Ching-I Huang, Hsueh-Cheng Wang, Mohammad Omar Khyam, Mien Van

RA-L 2023

Marine debris is a problem both for the health of marine environments and for the human health since tiny pieces of plastic called “microplastics” resulting from the debris decomposition over the time are entering the food chain at any levels. For marine debris detection and removal, autonomous unde

Cited by 35 Source ↗Scholar ↗

2021

Non-local Graph Convolutional Network for joint Activity Recognition and Motion Prediction

Dianhao Zhang, Ngo Anh Vien, Mien Van, Seán McLoone

IROS 2021poster

3D skeleton-based motion prediction and activity recognition are two interwoven tasks in human behaviour analysis. In this work, we propose a motion context modeling methodology that provides a new way to combine the advantages of both graph convolutional neural networks and recurrent neural network…

Cited by 6 Source ↗Scholar ↗