activity
20202024
most citedFeature Selection Approaches for Optimising Music Emotion Recognition Methods

7 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2024★ 1 cited

Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot

Zhanzhong Gu, Xiangjian He, Gengfa Fang +3

Healthcare monitoring is crucial, especially for the daily care of elderly individuals living alone. It can detect dangerous occurrences, such as falls, and provide timely alerts t…

cs.SD2024

Exploring Diverse Sounds: Identifying Outliers in a Music Corpus

Le Cai, Sam Ferguson, Gengfa Fang +1

Existing research on music recommendation systems primarily focuses on recommending similar music, thereby often neglecting diverse and distinctive musical recordings. Musical outl…

cs.CV2023

DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition

Shannan Guan, Xin Yu, Wei Huang +2

In this work, we propose a new Dual Min-Max Games (DMMG) based self-supervised skeleton action recognition method by augmenting unlabeled data in a contrastive learning framework.…

cs.SD2022★ 7 cited

Feature Selection Approaches for Optimising Music Emotion Recognition Methods

Le Cai, Sam Ferguson, Haiyan Lu +1

The high feature dimensionality is a challenge in music emotion recognition. There is no common consensus on a relation between audio features and emotion. The MER system uses all…

cs.CV2022★ 1 cited

AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement

Shannan Guan, Haiyan Lu, Linchao Zhu +1

Existing 3D skeleton-based action recognition approaches reach impressive performance by encoding handcrafted action features to image format and decoding by CNNs. However, such me…

cs.CV2022

PoseGU: 3D Human Pose Estimation with Novel Human Pose Generator and Unbiased Learning

Shannan Guan, Haiyan Lu, Linchao Zhu +1

3D pose estimation has recently gained substantial interests in computer vision domain. Existing 3D pose estimation methods have a strong reliance on large size well-annotated 3D p…

eess.SP2020

EdgeLoc: An Edge-IoT Framework for Robust Indoor Localization Using Capsule Networks

Qianwen Ye, Xiaochen Fan, Gengfa Fang +4

With the unprecedented demand for location-based services in indoor scenarios, wireless indoor localization has become essential for mobile users. While GPS is not available at ind…