1 code implementation • 26 Feb 2024 • Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis
These representations are typically explicit, such as 3D point clouds or meshes, and thus provide information in the direct surroundings of the intermediate hand pose estimate.
Ranked #1 on hand-object pose on HO-3D (using extra training data)
1 code implementation • 9 Oct 2023 • Stéphane d'Ascoli, Sören Becker, Alexander Mathis, Philippe Schwaller, Niki Kilbertus
We introduce ODEFormer, the first transformer able to infer multidimensional ordinary differential equation (ODE) systems in symbolic form from the observation of a single solution trajectory.
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.
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.
Ranked #1 on Animal Pose Estimation on TriMouse-161
1 code implementation • NeurIPS 2023 • Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang, Alexander Mathis
In the PyBullet locomotion tasks, Lattice-SAC achieves state of the art results, and reaches 18% higher reward than unstructured exploration in the Humanoid environment.
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.
1 code implementation • 28 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.
2 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.
Ranked #1 on Animal Pose Estimation on Animal-Pose Dataset (using extra training data)
no code implementations • 25 Oct 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 Berger-Wolf
Data acquisition in animal ecology is rapidly accelerating due to inexpensive and accessible sensors such as smartphones, drones, satellites, audio recorders and bio-logging devices.
1 code implementation • 24 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.
no code implementations • 22 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.
2 code implementations • 22 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.
no code implementations • ICLR Workshop SSL-RL 2021 • Khushdeep Singh Mann, Steffen Schneider, Alberto Chiappa, Jin Hwa Lee, Matthias Bethge, Alexander Mathis, Mackenzie W Mathis
We investigate the behavior of reinforcement learning (RL) agents under morphological distribution shifts.
Out-of-Distribution Generalization reinforcement-learning +1
no code implementations • 28 Feb 2021 • Maxime Vidal, Nathan Wolf, Beth Rosenberg, Bradley P. Harris, Alexander Mathis
Identifying individual animals is crucial for many biological investigations.
1 code implementation • 1 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.
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.
6 code implementations • 30 Sep 2019 • Mackenzie W. Mathis, Alexander Mathis
Recent advances in computer vision have made accurate, fast and robust measurement of animal behavior a reality.
1 code implementation • 24 Sep 2019 • Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
Neural networks are highly effective tools for pose estimation.
Ranked #1 on Animal Pose Estimation on Horse-10
1 code implementation • 9 Apr 2018 • Alexander Mathis, Pranav Mamidanna, Taiga Abe, Kevin M. Cury, Venkatesh N. Murthy, Mackenzie W. Mathis, Matthias Bethge
Quantifying behavior is crucial for many applications in neuroscience.