Jill P. Naiman

According to our database, Jill P. Naiman authored at least 11 papers between 2016 and 2023.

Collaborative distances:

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

2023

Large Synthetic Data from the arXiv for OCR Post Correction of Historic Scientific Articles.

Jill P. Naiman, Morgan G. Cosillo, Peter K. G. Williams, Alyssa Goodman

CoRR, 2023

AstroLLaMA: Towards Specialized Foundation Models in Astronomy.

Tuan Dung Nguyen, Yuan-Sen Ting, Ioana Ciuca, Charlie O'Neill, Zechang Sun, Maja Jablonska, Sandor Kruk, Ernest Perkowski, Jack W. Miller, Jason Li, Josh Peek, Kartheik Iyer, Tomasz Rózanski, Pranav Khetarpal, Sharaf Zaman, David Brodrick, Sergio J. Rodríguez Méndez, Thang Bui, Alyssa Goodman, Alberto Accomazzi, Jill P. Naiman, Jesse Cranney, Kevin Schawinski, UniverseTBD

CoRR, 2023

The Digitization of Historical Astrophysical Literature with Highly-Localized Figures and Figure Captions.

Jill P. Naiman, Peter K. G. Williams, Alyssa Goodman

CoRR, 2023

Generalizability in Document Layout Analysis for Scientific Article Figure & Caption Extraction.

Jill P. Naiman

CoRR, 2023

Large Synthetic Data from the arχiv for OCR Post Correction of Historic Scientific Articles.

Jill P. Naiman, Morgan G. Cosillo, Peter K. G. Williams, Alyssa Goodman

Proceedings of the Linking Theory and Practice of Digital Libraries: 27th International Conference on Theory and Practice of Digital Libraries, 2023

2022

Evidence-based science communication: through cinematic scientific visualization.

Eric A. Jensen, Kalina M. Borkiewicz, Jill P. Naiman, Jeffrey D. Carptenter

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Courses, Vancouver, British Columbia, Canada, August 7, 2022

Figure and Figure Caption Extraction for Mixed Raster and Vector PDFs: Digitization of Astronomical Literature with OCR Features.

Jill P. Naiman, Peter K. G. Williams, Alyssa Goodman

Proceedings of the Linking Theory and Practice of Digital Libraries, 2022

2021

CloudFindr: A Deep Learning Cloud Artifact Masker for Satellite DEM Data.

Kalina Borkiewicz, Viraj Shah, Jill P. Naiman, Chuanyue Shen, Stuart Levy, Jeff Carpenter

Proceedings of the 2021 IEEE Visualization Conference, 2021

2020

Clustering-informed cinematic astrophysical data visualization with application to the Moon-forming terrestrial synestia.

Patrick D. Aleo, Simon J. Lock, Donna J. Cox, Stuart A. Levy, Jill P. Naiman, A. J. Christensen, Kalina Borkiewicz, Robert Patterson

Astron. Comput., 2020

2018

Cinematic Visualization of Multiresolution Data: Ytini for Adaptive Mesh Refinement in Houdini.

Kalina Borkiewicz, Jill P. Naiman, Haoming Lai

CoRR, 2018

2016

AstroBlend: An astrophysical visualization package for Blender.

Jill P. Naiman

Astron. Comput., 2016