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2020 – today
- 2023
[j4]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: 123401-123417 (2023)- 2022
- [j3]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): 78-88 (2022) - 2020
- [j2]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: 71-82 (2020)
2010 – 2019
- 2018
- [i1]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 abs/1805.10256 (2018) - 2017
- [c4]Hongkai Yu, Jeff P. Simmons, Craig P. Przybyla, Song Wang:
On-the-Fly Performance Evaluation of Large-Scale Fiber Tracking. Computational Imaging 2017: 142-147 - 2016
- [j1]Youjie Zhou, Hongkai Yu, Jeff P. Simmons, Craig Przybyla, Song Wang:
Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials. IEEE Trans. Image Process. 25(10): 4931-4942 (2016) - [c3]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: 952-960 - 2015
- [c2]Stephen Bricker, Jeffrey P. Simmons, Craig Przybyla, Russell C. Hardie:
Anomaly detection of microstructural defects in continuous fiber reinforced composites. Computational Imaging 2015: 94010A - 2014
- [c1]Jeff P. Simmons, Craig Przybyla, Stephen Bricker, Dae-Woo Kim, Mary L. Comer:
Physics of MRF regularization for segmentation of materials microstructure images. ICIP 2014: 4882-4886
Coauthor Index
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