Search Results for author: Alexander Mathis

Found 13 papers, 8 papers with code

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

1 code implementation28 Sep 2022 Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis

Learning to locomote when the length and the thickness of different body parts vary is challenging, as the control policy is required to adapt to the morphology to successfully balance and advance the agent.

Continuous Control Inductive Bias

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

End-to-End Trainable Multi-Instance Pose Estimation with Transformers

1 code implementation22 Mar 2021 Lucas Stoffl, Maxime Vidal, Alexander Mathis

Inspired by recent work on end-to-end trainable object detection with transformers, we use a transformer encoder-decoder architecture together with a bipartite matching scheme to directly regress the pose of all individuals in a given image.

Keypoint Detection object-detection +1

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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