Craig P. Przybyla

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 6

Top Topics

Computational Model

Object Detection

Unsupervised Learning

Top Venues

Computational Imaging

IEEE Signal Process. Mag.

Publications

Khurram Amjad, William J. R. Christian, Ksenija Dvurecenska, David H. Mollenhauer, Craig P. Przybyla, Eann A. Patterson
Quantitative Comparisons of Volumetric Datasets From Experiments and Computational Models. IEEE Access 11 (2023)
Lan Fu, Hongkai Yu, Xiaoguang Li, Craig P. Przybyla, Song Wang
Deep Learning for Object Detection in Materials-Science Images: A tutorial. IEEE Signal Process. Mag. 39 (1) (2022)
Hongkai Yu, Dazhou Guo, Zhipeng Yan, Lan Fu, Jeff P. Simmons, Craig P. Przybyla, Song Wang
Weakly supervised easy-to-hard learning for object detection in image sequences. Neurocomputing 398 (2020)
Hongkai Yu, Dazhou Guo, Zhipeng Yan, Wei Liu, Jeff P. Simmons, Craig P. Przybyla, Song Wang
Unsupervised Learning for Large-Scale Fiber Detection and Tracking in Microscopic Material Images. CoRR (2018)
Hongkai Yu, Jeff P. Simmons, Craig P. Przybyla, Song Wang
On-the-Fly Performance Evaluation of Large-Scale Fiber Tracking. Computational Imaging (2017)
Hongkai Yu, Youjie Zhou, Jeff P. Simmons, Craig P. Przybyla, Yuewei Lin, Xiaochuan Fan, Yang Mi, Song Wang
Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences. CVPR (2016)