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ORCIDMackenzie W. Mathis
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2020 – today
- 2023
[c4]Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis:
Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity. ICCV 2023: 14643-14653- [c3]Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis:
AmadeusGPT: a natural language interface for interactive animal behavioral analysis. NeurIPS 2023 - [i11]Mu Zhou, Lucas Stoffl, Mackenzie W. Mathis, Alexander Mathis:
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity. CoRR abs/2306.07879 (2023) - [i10]Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis:
AmadeusGPT: a natural language interface for interactive animal behavioral analysis. CoRR abs/2307.04858 (2023) - 2022
- [i9]Shaokai Ye, Alexander Mathis, Mackenzie Weygandt Mathis
:
Panoptic animal pose estimators are zero-shot performers. CoRR abs/2203.07436 (2022) - [i8]Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis:
Learnable latent embeddings for joint behavioral and neural analysis. CoRR abs/2204.00673 (2022) - 2021
- [c2]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: 13901-13908 - [c1]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: 1858-1867 - [i7]Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis:
Measuring and modeling the motor system with machine learning. CoRR abs/2103.11775 (2021) - [i6]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 abs/2103.13282 (2021) - [i5]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 abs/2110.12951 (2021) - 2020
- [i4]Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis:
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. CoRR abs/2009.00564 (2020)
2010 – 2019
- 2019
- [i3]Alexander Mathis, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis:
Pretraining boosts out-of-domain robustness for pose estimation. CoRR abs/1909.11229 (2019) - [i2]Mackenzie W. Mathis, Alexander Mathis:
Deep learning tools for the measurement of animal behavior in neuroscience. CoRR abs/1909.13868 (2019) - 2018
- [i1]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 abs/1804.03142 (2018)
Coauthor Index
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