Kevin Barnard

According to our database, Kevin Barnard authored at least 7 papers between 2020 and 2025.

Collaborative distances:

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

2025

DeepSea MOT: A benchmark dataset for multi-object tracking on deep-sea video.

Kevin Barnard, Elaine Liu, Kristine Walz, Brian Schlining, Nancy Jacobsen Stout, Lonny Lundsten

CoRR, September, 2025

Marimba: A Python framework for structuring and processing FAIR scientific image datasets.

Christopher J. Jackett, Kevin Barnard, Franziska Althaus, Nicolas Mortimer, David Webb, Candice Untiedt, Aaron Tyndall, Ian Jameson, Bec Gorton, Carlie Devine, Joanna Strzelecki, Peter H. Thrall, Ben Scoulding

SoftwareX, 2025

2024

FathomVerse: A community science dataset for ocean animal discovery.

Genevieve Patterson, Joost Daniels, Benjamin G. Woodward, Kevin Barnard, Giovanna Sainz, Lonny Lundsten, Kakani Katija

CoRR, 2024

2023

The FathomNet2023 Competition Dataset.

Eric C. Orenstein, Kevin Barnard, Lonny Lundsten, Genevieve Patterson, Benjamin G. Woodward, Kakani Katija

CoRR, 2023

2021

FathomNet: A global underwater image training set for enabling artificial intelligence in the ocean.

Kakani Katija, Eric C. Orenstein, Brian Schlining, Lonny Lundsten, Kevin Barnard, Giovanna Sainz, Oceane Boulais, Benjamin G. Woodward, Katy Croff Bell

CoRR, 2021

Visual tracking of deepwater animals using machine learning-controlled robotic underwater vehicles.

Kakani Katija, Paul L. D. Roberts, Joost Daniels, Alexandra Lapides, Kevin Barnard, Mike Risi, Ben Y. Ranaan, Benjamin G. Woodward, Jonathan Takahashi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

2020

FathomNet: An underwater image training database for ocean exploration and discovery.

Océane Boulais, Ben Woodward, Brian Schlining, Lonny Lundsten, Kevin Barnard, Katy Croff Bell, Kakani Katija

CoRR, 2020