3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Legilimens: Performant Video Analytics on the System-on-Chip Edge
Murali Ramanujam, Yinwei Dai, Kyle Jamieson +1
Continually retraining models has emerged as a primary technique to enable high-accuracy video analytics on edge devices. Yet, existing systems employ such adaptation by relying on…
cs.DC2023★ 3 cited
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations
Mike Wong, Murali Ramanujam, Guha Balakrishnan +1
Camera orientations (i.e., rotation and zoom) govern the content that a camera captures in a given scene, which in turn heavily influences the accuracy of live video analytics pipe…