29 citations · 31 across the 7 of their papers we have counts for
7 papers
Learning with Noisy Labels for Human Fall Events Classification: Joint Cooperative Training with Trinity Networks
Leiyu Xie, Yang Sun, Syed Mohsen Naqvi
With the increasing ageing population, fall events classification has drawn much research attention. In the development of deep learning, the quality of data labels is crucial. Mos…
Position and Orientation-Aware One-Shot Learning for Medical Action Recognition from Signal Data
Leiyu Xie, Yuxing Yang, Zeyu Fu +1
In this work, we propose a position and orientation-aware one-shot learning framework for medical action recognition from signal data. The proposed framework comprises two stages a…
Skeleton-based action analysis for ADHD diagnosis
Yichun Li, Yi Li, Rajesh Nair +1
Attention Deficit Hyperactivity Disorder (ADHD) is a common neurobehavioral disorder worldwide. While extensive research has focused on machine learning methods for ADHD diagnosis,…
Two-stage Fall Events Classification with Human Skeleton Data
Leiyu Xie, Yang Sun, Jonathon A. Chambers +1
Fall detection and classification become an imper- ative problem for healthcare applications particularity with the increasingly ageing population. Currently, most of the fall clas…
Self-Supervised Learning based Monaural Speech Enhancement with Multi-Task Pre-Training
Yi Li, Yang Sun, Syed Mohsen Naqvi
In self-supervised learning, it is challenging to reduce the gap between the enhancement performance on the estimated and target speech signals with existed pre-tasks. In this pape…
Self-Supervised Learning based Monaural Speech Enhancement with Complex-Cycle-Consistent
Yi Li, Yang Sun, Syed Mohsen Naqvi
Recently, self-supervised learning (SSL) techniques have been introduced to solve the monaural speech enhancement problem. Due to the lack of using clean phase information, the enh…