Jason Remington Parham
Jason Remington Parham
Senior Computer Vision Research Engineer, Wild Me
Verifierad e-postadress på wildme.org
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An animal detection pipeline for identification
J Parham, C Stewart, J Crall, D Rubenstein, J Holmberg, T Berger-Wolf
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1075-1083, 2018
262018
Wildbook: Crowdsourcing, computer vision, and data science for conservation
TY Berger-Wolf, DI Rubenstein, CV Stewart, JA Holmberg, J Parham, ...
arXiv preprint arXiv:1710.08880, 2017
242017
Animal population censusing at scale with citizen science and photographic identification
J Parham, J Crall, C Stewart, T Berger-Wolf, DI Rubenstein
AAAI Spring Symposium-Technical Report, 2017
202017
Efficient generation of image chips for training deep learning algorithms
S Han, A Fafard, J Kerekes, M Gartley, E Ientilucci, A Savakis, C Law, ...
Automatic Target Recognition XXVII 10202, 1020203, 2017
192017
Detecting plains and Grevy's Zebras in the realworld
J Parham, C Stewart
2016 IEEE winter applications of computer vision workshops (WACVW), 1-9, 2016
142016
The great grevy’s rally: The need, methods, findings, implications and next steps
T Berger-Wolf, J Crall, J Holberg, J Parham, C Stewart, BL Mackey, ...
Grevy’s Zebra Trust, Nairobi, Kenya, Tech. Rep, 2016
102016
Ibeis: Image-based ecological information system: From pixels to science and conservation
TY Berger-Wolf, DI Rubenstein, CV Stewart, J Holmberg, J Parham, ...
Bloomberg Data for Good Exchange Conference, New York, NY, USA 2, 2015
62015
Photographic censusing of zebra and giraffe in the Nairobi National Park
JR Parham
Rensselaer Polytechnic Institute, 2015
62015
The great zebra and giraffe count: The power and rewards of citizen science
DI Rubenstein, CV Stewart, TY Berger-Wolf, J Parham, J Crall, ...
Technical report, 2015
52015
The state of kenya’s grevy’s zebras and reticulated giraffes: Results of the great grevy’s rally 2018
DI Rubenstein, J Parham, CV Stewart, TY Berger-Wolf, J Holmberg, ...
Report to the Kenya Wildlife Service 2, 2018
42018
Animal population estimation using Flickr images
S Menon, TY Berger-Wolf, E Kiciman, L Joppa, CV Stewart, PJ Crall, ...
2nd International Workshop on the Social Web for Environmental and …, 2016
32016
Extracting identifying contours for African elephants and humpback whales using a learned appearance model
H Weideman, C Stewart, J Parham, J Holmberg, K Flynn, J Calambokidis, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
12020
HotSpotter: Using a computer-driven photo-id application to identify sea turtles
SG Dunbar, EC Anger, JR Parham, C Kingen, MK Wright, CT Hayes, ...
Journal of Experimental Marine Biology and Ecology 535, 151490, 2021
2021
Deep learning for object detection and object-based change detection in satellite imagery
AH J. Parham, C. Law, M. Dawkins, P. Tunison, D. Stoup, R. Blue, H. Sun, K ...
National Symposium on Sensor and Data Fusion, 2017
2017
Flukebook–Continuing growth and technical advancement for cetacean photo identification and data archiving, including automated fin, fluke, and body matching
D Blount, G Minton, C Khan, J Levenson, V Dulau, S Gero, J Parham, ...
Wildbook: Advancements in photographic ID from deep learning
J Parham
2020 ESA Annual Meeting (August 3-6), 0
The Great Grevy’s Rally: A Review on Procedure
J Parham, C Stewart, T Berger-Wolf, D Rubenstein, J Holmberg
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Artiklar 1–17