Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems

no code implementations • 21 Nov 2024 • Mackenzie Weygandt Mathis

Biological intelligence is inherently adaptive -- animals continually adjust their actions based on environmental feedback.

Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity

1 code implementation • 13 Jun 2023 • Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis

Frequent interactions between individuals are a fundamental challenge for pose estimation algorithms.

Animal Pose Estimation Multi-Person Pose Estimation

Rethinking Pose Estimation in Crowds: Overcoming the Detection Information Bottleneck and Ambiguity

1 code implementation • ICCV 2023 • Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis

Frequent interactions between individuals are a fundamental challenge for pose estimation algorithms.

Pose Estimation

Learnable latent embeddings for joint behavioral and neural analysis

2 code implementations • 1 Apr 2022 • Steffen Schneider, Jin Hwa Lee, Mackenzie Weygandt Mathis

Mapping behavioral actions to neural activity is a fundamental goal of neuroscience.

SuperAnimal pretrained pose estimation models for behavioral analysis

3 code implementations • 14 Mar 2022 • Shaokai Ye, Anastasiia Filippova, Jessy Lauer, Steffen Schneider, Maxime Vidal, Tian Qiu, Alexander Mathis, Mackenzie Weygandt Mathis

We illustrate the utility of our models in behavioral classification in mice and gait analysis in horses.

Animal Pose Estimation Transfer Learning

ImageNet performance correlates with pose estimation robustness and generalization on out-of-domain data

1 code implementation • ICML UDL 2020 • Alexander Mathis, Thomas Biasi, Mert Yuksekgonul, Byron Rogers, Matthias Bethge, Mackenzie Weygandt Mathis

Neural networks are highly effective tools for pose estimation.

Animal Pose Estimation Benchmarking +1