Search Results for author: Chris M. Ward

Found 4 papers, 0 papers with code

The AI Security Pyramid of Pain

no code implementations16 Feb 2024 Chris M. Ward, Josh Harguess, Julia Tao, Daniel Christman, Paul Spicer, Mike Tan

Data Provenance is the next critical layer, ensuring the authenticity and lineage of data and models.

Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)

no code implementations14 May 2019 Chris M. Ward, Josh Harguess, Brendan Crabb, Shibin Parameswaran

Traditional metrics for evaluating the efficacy of image processing techniques do not lend themselves to understanding the capabilities and limitations of modern image processing methods - particularly those enabled by deep learning.

Image Quality Assessment SSIM +1

Leveraging synthetic imagery for collision-at-sea avoidance

no code implementations13 May 2019 Chris M. Ward, Josh Harguess, Alexander G. Corelli

We present our results on the use of synthetic imagery in a computer vision based collision-at-sea warning system with promising performance.

Cannot find the paper you are looking for? You can Submit a new open access paper.