2 papers
cs.CV2026
DANCE: Dynamic 3D CNN Pruning: Joint Frame, Channel, and Feature Adaptation for Energy Efficiency on the Edge
Mohamed Mejri, Ashiqur Rasul, Abhijit Chatterjee
Modern convolutional neural networks (CNNs) are workhorses for video and image processing, but fail to adapt to the computational complexity of input samples in a dynamic manner to…
cs.RO2025
eCAV: An Edge-Assisted Evaluation Platform for Connected Autonomous Vehicles
Tyler Landle, Jordan Rapp, Dean Blank +4
As autonomous vehicles edge closer to widespread adoption, enhancing road safety through collision avoidance and minimization of collateral damage becomes imperative. Vehicle-to-ev…