996 citations · 1.7k across the 31 of their papers we have counts for
7 papers · 1 filter
Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features
Guoliang Liu, Qinghui Zhang, Yichao Cao +3
Online action recognition is an important task for human centered intelligent services, which is still difficult to achieve due to the varieties and uncertainties of spatial and te…
Learning the Best Pooling Strategy for Visual Semantic Embedding
Jiacheng Chen, Hexiang Hu, Hao Wu +2
Visual Semantic Embedding (VSE) is a dominant approach for vision-language retrieval, which aims at learning a deep embedding space such that visual data are embedded close to thei…
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…
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
Hao Wu, Patrick Judd, Xiaojie Zhang +2
Quantization techniques can reduce the size of Deep Neural Networks and improve inference latency and throughput by taking advantage of high throughput integer instructions. In thi…
Masked Face Recognition Dataset and Application
Zhongyuan Wang, Guangcheng Wang, Baojin Huang +11
In order to effectively prevent the spread of COVID-19 virus, almost everyone wears a mask during coronavirus epidemic. This almost makes conventional facial recognition technology…
DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
Hao Wu, Hanyuan Zhang, Xinyu Zhang +3
Automatic map extraction is of great importance to urban computing and location-based services. Aerial image and GPS trajectory data refer to two different data sources that could…