7 citations · 9 across the 4 of their papers we have counts for
4 papers
Online Self-Evolving Anomaly Detection in Cloud Computing Environments
Haili Wang, Jingda Guo, Xu Ma +3
Modern cloud computing systems contain hundreds to thousands of computing and storage servers. Such a scale, combined with ever-growing system complexity, is causing a key challeng…
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles
Jingda Guo, Dominic Carrillo, Sihai Tang +6
To reduce the amount of transmitted data, feature map based fusion is recently proposed as a practical solution to cooperative 3D object detection by autonomous vehicles. The preci…
DCANet: Learning Connected Attentions for Convolutional Neural Networks
Xu Ma, Jingda Guo, Sihai Tang +4
While self-attention mechanism has shown promising results for many vision tasks, it only considers the current features at a time. We show that such a manner cannot take full adva…
Low-Latency High-Level Data Sharing for Connected and Autonomous Vehicular Networks
Qi Chen, Sihai Tang, Jacob Hochstetler +5
Autonomous vehicles can combine their own data with that of other vehicles to enhance their perceptive ability, and thus improve detection accuracy and driving safety. Data sharing…