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Jon Crall

According to our database1, Jon Crall authored at least 9 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Benthic habitat influences sea scallop distributions and swimming behavior based on underwater imagery and machine learning.
[BibTeX]
[DOI]
Liese Siemann
,
Matthew Dawkins
,
Luisa M. Garcia
,
Jon Crall
,
Tasha O'Hara
Ecol. Informatics, 2026

2025
Steller Sea Lion Counting Across Multiple Aerial Cameras.
[BibTeX]
[DOI]
Matthew Dawkins
,
Jon Crall
,
Katie Sweeney
,
Burlyn Birkemeier
,
Neal Siekierski
,
Dawei Du
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
"ScatSpotter" 2024 - A Distributed Dog Poop Detection Dataset.
[BibTeX]
[DOI]
Jon Crall
CoRR, 2024

GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images.
[BibTeX]
[DOI]
Jon Crall
,
Connor Greenwell
,
David Joy
,
Matthew J. Leotta
,
Aashish Chaudhary
,
Anthony Hoogs
CoRR, 2024

WATCH: Wide-Area Terrestrial Change Hypercube.
[BibTeX]
[DOI]
Connor Greenwell
,
Jon Crall
,
Matthew Purri
,
Kristin J. Dana
,
Nathan Jacobs
,
Armin Hadzic
,
Scott Workman
,
Matthew J. Leotta
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Geowatch for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images.
[BibTeX]
[DOI]
Jon Crall
,
Connor Greenwell
,
David Joy
,
Matthew Leotta
,
Aashish Chaudhary
,
Anthony Hoogs
Proceedings of the IGARSS 2024, 2024

2023
The MCC approaches the geometric mean of precision and recall as true negatives approach infinity.
[BibTeX]
[DOI]
Jon Crall
CoRR, 2023

2022
Towards Depth Fusion into Object Detectors for Improved Benthic Species Classification.
[BibTeX]
[DOI]
Matthew Dawkins
,
Jon Crall
,
Matthew J. Leotta
,
Tasha O'Hara
,
Liese Siemann
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021
Exploring the potential to use low cost imaging and an open source convolutional neural network detector to support stock assessment of the king scallop (<i>Pecten maximus</i>).
[BibTeX]
[DOI]
Katja Ovchinnikova
,
Mark A. James
,
Tania Mendo
,
Matthew Dawkins
,
Jon Crall
,
Karen Boswarva
Ecol. Informatics, 2021


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