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Alexander Mathis
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2020 – today
- 2024
- [j2]Valentin Gabeff
, Marc Rußwurm
WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models. Int. J. Comput. Vis. 132(9): 3770-3786 (2024) - [c10]Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis:
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CVPR 2024: 10392-10402 - [c9]Lucas Stoffl, Andy Bonnetto, Stéphane d'Ascoli, Alexander Mathis
Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders. ECCV (64) 2024: 106-125 - [c8]Stéphane d'Ascoli, Sören Becker, Philippe Schwaller, Alexander Mathis, Niki Kilbertus:
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers. ICLR 2024 - [i17]Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis:
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields. CoRR abs/2402.17062 (2024) - [i16]Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR abs/2408.11841 (2024) - 2023
- [c7]Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis:
Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity. ICCV 2023: 14643-14653 - [c6]Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang, Alexander Mathis:
Latent exploration for Reinforcement Learning. NeurIPS 2023 - [c5]Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis:
AmadeusGPT: a natural language interface for interactive animal behavioral analysis. NeurIPS 2023 - [i15]Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang, Alexander Mathis:
Latent Exploration for Reinforcement Learning. CoRR abs/2305.20065 (2023) - [i14]Mu Zhou, Lucas Stoffl, Mackenzie W. Mathis, Alexander Mathis:
Rethinking pose estimation in crowds: overcoming the detection information-bottleneck and ambiguity. CoRR abs/2306.07879 (2023) - [i13]Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis:
AmadeusGPT: a natural language interface for interactive animal behavioral analysis. CoRR abs/2307.04858 (2023) - [i12]Stéphane d'Ascoli, Sören Becker, Alexander Mathis, Philippe Schwaller, Niki Kilbertus:
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers. CoRR abs/2310.05573 (2023) - 2022
- [c4]Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis:
DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body. NeurIPS 2022 - [i11]Shaokai Ye, Alexander Mathis, Mackenzie Weygandt Mathis
Panoptic animal pose estimators are zero-shot performers. CoRR abs/2203.07436 (2022) - [i10]Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis
DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body. CoRR abs/2209.14218 (2022) - 2021
- [c3]Daniel Joska, Liam Clark, Naoya Muramatsu, Ricardo Jericevich, Fred Nicolls, Alexander Mathis
AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild. ICRA 2021: 13901-13908 - [c2]Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. 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: 233-250 - [c1]Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül
Pretraining boosts out-of-domain robustness for pose estimation. WACV 2021: 1858-1867 - [i9]Maxime Vidal, Nathan Wolf, Beth Rosenberg, Bradley P. Harris, Alexander Mathis:
Perspectives on individual animal identification from biology and computer vision. CoRR abs/2103.00560 (2021) - [i8]Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis:
Measuring and modeling the motor system with machine learning. CoRR abs/2103.11775 (2021) - [i7]Lucas Stoffl, Maxime Vidal, Alexander Mathis:
End-to-End Trainable Multi-Instance Pose Estimation with Transformers. CoRR abs/2103.12115 (2021) - [i6]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 abs/2103.13282 (2021) - [i5]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 abs/2110.12951 (2021) - 2020
- [i4]Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis:
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives. CoRR abs/2009.00564 (2020)
2010 – 2019
- 2019
- [i3]Alexander Mathis
Pretraining boosts out-of-domain robustness for pose estimation. CoRR abs/1909.11229 (2019) - [i2]Mackenzie W. Mathis
Deep learning tools for the measurement of animal behavior in neuroscience. CoRR abs/1909.13868 (2019) - 2018
- [i1]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 abs/1804.03142 (2018) - 2012
- [j1]Alexander Mathis
Optimal Population Codes for Space: Grid Cells Outperform Place Cells. Neural Comput. 24(9): 2280-2317 (2012)
Coauthor Index
aka: Mackenzie Weygandt Mathis
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last updated on 2024-12-10 21:45 CET by the dblp team
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