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DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body


Sep 28, 2022
Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis

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Panoptic animal pose estimators are zero-shot performers


Mar 14, 2022
Shaokai Ye, Alexander Mathis, Mackenzie Weygandt 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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End-to-End Trainable Multi-Instance Pose Estimation with Transformers


Mar 22, 2021
Lucas Stoffl, Maxime Vidal, Alexander Mathis

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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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Perspectives on individual animal identification from biology and computer vision


Feb 28, 2021
Maxime Vidal, Nathan Wolf, Beth Rosenberg, Bradley P. Harris, Alexander Mathis

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* 12 pages, 1 figure, 2 boxes and 1 table 

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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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