61 citations · 62 across the 4 of their papers we have counts for
3 papers
Privacy in Multimodal Federated Human Activity Recognition
Alex Iacob, Pedro P. B. Gusmão, Nicholas D. Lane +5
Human Activity Recognition (HAR) training data is often privacy-sensitive or held by non-cooperative entities. Federated Learning (FL) addresses such concerns by training ML models…
Self-Supervised Multimodal Fusion Transformer for Passive Activity Recognition
Armand K. Koupai, Mohammud J. Bocus, Raul Santos-Rodriguez +2
The pervasiveness of Wi-Fi signals provides significant opportunities for human sensing and activity recognition in fields such as healthcare. The sensors most commonly used for pa…
Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection
Jiahe Fan, Mohammud J. Bocus, Brett Hosking +4
This paper presents a novel pothole detection approach based on single-modal semantic segmentation. It first extracts visual features from input images using a convolutional neural…