research
∙
06/29/2022
Turbo: Opportunistic Enhancement for Edge Video Analytics
Edge computing is being widely used for video analytics. To alleviate th...
share
research
∙
01/19/2022
GEMEL: Model Merging for Memory-Efficient, Real-Time Video Analytics at the Edge
Video analytics pipelines have steadily shifted to edge deployments to r...
research
∙
02/05/2021
Custom Object Detection via Multi-Camera Self-Supervised Learning
This paper proposes MCSSL, a self-supervised learning approach for build...
research
∙
12/19/2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Video analytics applications use edge compute servers for the analytics ...
research
∙
10/17/2020
Deep Learning in the Era of Edge Computing: Challenges and Opportunities
The era of edge computing has arrived. Although the Internet is the back...
research
∙
02/11/2020
WatchDog: Real-time Vehicle Tracking on Geo-distributed Edge Nodes
Vehicle tracking, a core application to smart city video analytics, is b...
research
∙
11/03/2018
ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale
The deployment of large camera networks for video analytics is an establ...
research
∙
09/07/2018
