Craig Przybyla

According to our database, Craig Przybyla authored at least 9 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Quantitative Comparisons of Volumetric Datasets From Experiments and Computational Models.

Khurram Amjad, William J. R. Christian, Ksenija Dvurecenska, David H. Mollenhauer, Craig P. Przybyla, Eann A. Patterson

IEEE Access, 2023

2022

Deep Learning for Object Detection in Materials-Science Images: A tutorial.

Lan Fu, Hongkai Yu, Xiaoguang Li, Craig P. Przybyla, Song Wang

IEEE Signal Process. Mag., 2022

2020

Weakly supervised easy-to-hard learning for object detection in image sequences.

Hongkai Yu, Dazhou Guo, Zhipeng Yan, Lan Fu, Jeff P. Simmons, Craig P. Przybyla, Song Wang

Neurocomputing, 2020

2018

Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images.

Hongkai Yu, Dazhou Guo, Zhipeng Yan, Wei Liu, Jeff P. Simmons, Craig P. Przybyla, Song Wang

CoRR, 2018

2017

On-the-Fly Performance Evaluation of Large-Scale Fiber Tracking.

Hongkai Yu, Jeff P. Simmons, Craig P. Przybyla, Song Wang

Proceedings of the Computational Imaging XV, Burlingame, 2017

2016

Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials.

Youjie Zhou, Hongkai Yu, Jeff P. Simmons, Craig Przybyla, Song Wang

IEEE Trans. Image Process., 2016

Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences.

Hongkai Yu, Youjie Zhou, Jeff P. Simmons, Craig P. Przybyla, Yuewei Lin, Xiaochuan Fan, Yang Mi, Song Wang

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Anomaly detection of microstructural defects in continuous fiber reinforced composites.

Stephen Bricker, Jeffrey P. Simmons, Craig Przybyla, Russell C. Hardie

Proceedings of the Computational Imaging XIII, 2015

2014

Physics of MRF regularization for segmentation of materials microstructure images.

Jeff P. Simmons, Craig Przybyla, Stephen Bricker, Dae-Woo Kim, Mary L. Comer

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014