Search Results for author: Mackenzie W. Mathis

Found 8 papers, 6 papers with code

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

1 code implementation NeurIPS 2023 Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis

To overcome the context window limitation, we implement a novel dual-memory mechanism to allow communication between short-term and long-term memory using symbols as context pointers for retrieval and saving.


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

1 code implementation24 Mar 2021 Daniel Joska, Liam Clark, Naoya Muramatsu, Ricardo Jericevich, Fred Nicolls, Alexander Mathis, Mackenzie W. Mathis, Amir Patel

Animals are capable of extreme agility, yet understanding their complex dynamics, which have ecological, biomechanical and evolutionary implications, remains challenging.

3D Pose Estimation Animal Pose Estimation +1

Measuring and modeling the motor system with machine learning

no code implementations22 Mar 2021 Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis

The utility of machine learning in understanding the motor system is promising a revolution in how to collect, measure, and analyze data.

BIG-bench Machine Learning Dimensionality Reduction +2

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

1 code implementation1 Sep 2020 Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis

Extracting behavioral measurements non-invasively from video is stymied by the fact that it is a hard computational problem.

Deep learning tools for the measurement of animal behavior in neuroscience

6 code implementations30 Sep 2019 Mackenzie W. Mathis, Alexander Mathis

Recent advances in computer vision have made accurate, fast and robust measurement of animal behavior a reality.

Pose Estimation

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