Multi-View Multimodal Driver Monitoring Systems
In this project, we developed a multi-view multimodal driver monitoring system (DMS) using masked multi-head self-attention. The system aims to detect drivers’ actions that are irrelevant to driving, such as drinking and texting.
Tue, 04 Apr 2023
Digital Twins of Urban Crowds
This individual research project was conducted during the end of my MSc study at the University of Warwick. It aims to address the most prominent issue in crowd counting - the scale variation.
Mon, 13 Sep 2021