Mackenzie W. Mathis

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Pose Estimation

Top Venues

Publications

Mu Zhou, Lucas Stoffl, Mackenzie W. Mathis, Alexander Mathis
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity. CoRR (2023)
Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
AmadeusGPT: a natural language interface for interactive animal behavioral analysis. NeurIPS (2023)
Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
AmadeusGPT: a natural language interface for interactive animal behavioral analysis. CoRR (2023)
Daniel Joska, Liam Clark, Naoya Muramatsu, Ricardo Jericevich, Fred Nicolls, Alexander Mathis, Mackenzie W. Mathis, Amir Patel
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild. ICRA (2021)
Daniel Joska, Liam Clark, Naoya Muramatsu, Ricardo Jericevich, Fred Nicolls, Alexander Mathis, Mackenzie W. Mathis, Amir Patel
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild. CoRR (2021)
Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis
Measuring and modeling the motor system with machine learning. CoRR (2021)
Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
Pretraining boosts out-of-domain robustness for pose estimation. WACV (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 Y. Berger-Wolf
Seeing biodiversity: perspectives in machine learning for wildlife conservation. CoRR (2021)
Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. CoRR (2020)
Mackenzie W. Mathis, Alexander Mathis
Deep learning tools for the measurement of animal behavior in neuroscience. CoRR (2019)
Alexander Mathis, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
Pretraining boosts out-of-domain robustness for pose estimation. CoRR (2019)
Alexander Mathis, Pranav Mamidanna, Taiga Abe, Kevin M. Cury, Venkatesh N. Murthy, Mackenzie W. Mathis, Matthias Bethge
Markerless tracking of user-defined features with deep learning. CoRR (2018)