Alexander Mathis

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 24

Top Topics

Pose Estimation

Top Venues

Publications

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CoRR (2024)
Stéphane d'Ascoli, Sören Becker, Philippe Schwaller, Alexander Mathis, Niki Kilbertus
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers. ICLR (2024)
Mu Zhou, Lucas Stoffl, Mackenzie W. Mathis, Alexander Mathis
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity. CoRR (2023)
Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang, Alexander Mathis
Latent Exploration for Reinforcement Learning. CoRR (2023)
Stéphane d'Ascoli, Sören Becker, Alexander Mathis, Philippe Schwaller, Niki Kilbertus
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers. CoRR (2023)
Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis
Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity. ICCV (2023)
Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
AmadeusGPT: a natural language interface for interactive animal behavioral analysis. NeurIPS (2023)
Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis
AmadeusGPT: a natural language interface for interactive animal behavioral analysis. CoRR (2023)
Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang, Alexander Mathis
Latent exploration for Reinforcement Learning. NeurIPS (2023)
Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body. NeurIPS (2022)
Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body. CoRR (2022)
Shaokai Ye, Alexander Mathis, Mackenzie Weygandt Mathis
Panoptic animal pose estimators are zero-shot performers. CoRR (2022)
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)
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 (2021)
Maxime Vidal, Nathan Wolf, Beth Rosenberg, Bradley P. Harris, Alexander Mathis
Perspectives on individual animal identification from biology and computer vision. CoRR (2021)
Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis
Measuring and modeling the motor system with machine learning. CoRR (2021)
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)
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 (2021)
Vittorio Caggiano, Guillaume Durandau, Huwawei Wang, Alberto Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) (2021)
Lucas Stoffl, Maxime Vidal, Alexander Mathis
End-to-End Trainable Multi-Instance Pose Estimation with Transformers. CoRR (2021)
Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. CoRR (2020)
Mackenzie W. Mathis, Alexander Mathis
Deep learning tools for the measurement of animal behavior in neuroscience. CoRR (2019)
Alexander Mathis, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis
Pretraining boosts out-of-domain robustness for pose estimation. CoRR (2019)
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 (2018)
Alexander Mathis, Andreas V. M. Herz, Martin Stemmler
Optimal Population Codes for Space: Grid Cells Outperform Place Cells. Neural Comput. 24 (9) (2012)