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Mackenzie W. Mathis
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Seeing biodiversity: perspectives in machine learning for wildlife conservation


Oct 25, 2021
Devis Tuia, Benjamin Kellenberger, Sara Beery, Blair R. Costelloe, Silvia Zuffi, Benjamin Risse, Alexander Mathis, Mackenzie W. Mathis, Frank van Langevelde, Tilo Burghardt, Roland Kays, Holger Klinck, Martin Wikelski, Iain D. Couzin, Grant van Horn, Margaret C. Crofoot, Charles V. Stewart, Tanya Berger-Wolf

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AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild


Mar 24, 2021
Daniel Joska, Liam Clark, Naoya Muramatsu, Ricardo Jericevich, Fred Nicolls, Alexander Mathis, Mackenzie W. Mathis, Amir Patel

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* Code and data can be found at: https://github.com/African-Robotics-Unit/AcinoSet 
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Measuring and modeling the motor system with machine learning


Mar 22, 2021
Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis

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A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives


Sep 02, 2020
Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis

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* Review, 21 pages, 8 figures and 5 boxes 
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Deep learning tools for the measurement of animal behavior in neuroscience


Oct 18, 2019
Mackenzie W. Mathis, Alexander Mathis

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* 11 pages, 3 figures, review 
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Pretraining boosts out-of-domain robustness for pose estimation


Sep 24, 2019
Alexander Mathis, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis

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Markerless tracking of user-defined features with deep learning


Apr 09, 2018
Alexander Mathis, Pranav Mamidanna, Taiga Abe, Kevin M. Cury, Venkatesh N. Murthy, Mackenzie W. Mathis, Matthias Bethge

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* Nature Neuroscience, Technical Report, published: 20 August 2018 
 * Videos at http://www.mousemotorlab.org/deeplabcut 
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