48 citations · 55 across the 5 of their papers we have counts for
6 papers
UniqueShip: Mitigating Data Leakage in Acoustic Ship Classification Benchmark Datasets
Connor Hashemi, Trevor Stout, Anthony Hoogs +1
Underwater Acoustic Target Recognition (UATR) of ships is well-suited for machine learning, yet its progress is hindered by the lack of large, diverse, and publicly available label…
KAMERA: Enhancing Aerial Surveys of Ice-associated Seals in Arctic Environments
Adam Romlein, Benjamin X. Hou, Yuval Boss +5
We introduce KAMERA: a comprehensive system for multi-camera, multi-spectral synchronization and real-time detection of seals and polar bears. Utilized in aerial surveys for ice-as…
Adapting the re-ID challenge for static sensors
Avirath Sundaresan, Jason R. Parham, Jonathan Crall +9
In both 2016 and 2018, a census of the highly-endangered Grevy's zebra population was enabled by the Great Grevy's Rally (GGR), a citizen science event that produces population est…
Teaching Computer Vision for Ecology
Elijah Cole, Suzanne Stathatos, Björn Lütjens +5
Computer vision can accelerate ecology research by automating the analysis of raw imagery from sensors like camera traps, drones, and satellites. However, computer vision is an eme…
The Animal ID Problem: Continual Curation
Charles V. Stewart, Jason R. Parham, Jason Holmberg +1
Hoping to stimulate new research in individual animal identification from images, we propose to formulate the problem as the human-machine Continual Curation of images and animal i…
Wildbook: Crowdsourcing, computer vision, and data science for conservation
Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart +7
Photographs, taken by field scientists, tourists, automated cameras, and incidental photographers, are the most abundant source of data on wildlife today. Wildbook is an autonomous…