Andrew R. Buck, Ph.D.

Expand All

Collapse All

2021+

Characterization of Deep Learning-Based Aerial Explosive Hazard Detection using Simulated Data

Brendan J. Alvey, Derek T. Anderson, Clare Yang, Andrew Buck, James M. Keller, Ken E. Yasuda, Hollie A. Ryan

2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021

SSCI, Drones, EH Detection, Simulation, Deep Learning

Simulated Photorealistic Deep Learning Framework and Workflows to Accelerate Computer Vision and Unmanned Aerial Vehicle Research

Brendan Alvey, Derek T. Anderson, Andrew Buck, Matthew Deardorff, Grant Scott, Timothy Wilkin, James M. Keller

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021

ICCVW, Drones, Simulation, Deep Learning, Code

[DOI] [paper] [video] [code]

2020+

Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks

Muhammad Aminul Islam, Bryce Murray, Andrew R. Buck, Derek T. Anderson, Grant Scott, Mihail Popescu, James Keller

IEEE Transactions on Neural Networks and Learning Systems, Oct. 2020

IEEE-TNNLS, arXiv, Deep Learning, Morphology

Doing More With Less: Similarity Neural Nets and Metrics for Small Class Imbalanced Data Sets

Charlie Veal, Jeffrey Schulz, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant Scott, Dominic Ho, Timothy Wilkin

Proc. SPIE 11418, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 2020

SPIE, Deep Learning

Extending Deep Learning to New Classes without Retraining

Jeffrey Schulz, Charlie Veal, Andrew Buck, Derek Anderson, James Keller, Mihail Popescu, Grant Scott, Dominic K. C. Ho, Timothy Wilkin

Proc. SPIE 11418, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXV, 2020

SPIE, Deep Learning

[DOI] [paper] [video]