206 citations · 365 across the 7 of their papers we have counts for
4 papers · 1 filter
LID 2020: The Learning from Imperfect Data Challenge Results
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng +32
Learning from imperfect data becomes an issue in many industrial applications after the research community has made profound progress in supervised learning from perfectly annotate…
Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices
Xin Cheng, Lei Zhang, Yin Tang +3
Recently, deep learning has represented an important research trend in human activity recognition (HAR). In particular, deep convolutional neural networks (CNNs) have achieved stat…
DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors
Wenbin Gao, Lei Zhang, Qi Teng +2
Human activity recognition (HAR) in ubiquitous computing has been beginning to incorporate attention into the context of deep neural networks (DNNs), in which the rich sensing data…
Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors
Yin Tang, Qi Teng, Lei Zhang +2
Recently, convolutional neural networks (CNNs) have set latest state-of-the-art on various human activity recognition (HAR) datasets. However, deep CNNs often require more computin…