Alexander Mathis

According to our database, Alexander Mathis authored at least 33 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

EPFL-Smart-Kitchen-30: Densely annotated cooking dataset with 3D kinematics to challenge video and language models.

Andy Bonnetto, Haozhe Qi, Franklin Leong, Matea Tashkovska, Mahdi Rad, Solaiman Shokur, Friedhelm Hummel, Silvestro Micera, Marc Pollefeys, Alexander Mathis

CoRR, June, 2025

LLaVAction: evaluating and training multi-modal large language models for action recognition.

Shaokai Ye, Haozhe Qi, Alexander Mathis, Mackenzie W. Mathis

CoRR, March, 2025

Reinforcement learning-based motion imitation for physiologically plausible musculoskeletal motor control.

Merkourios Simos, Alberto Silvio Chiappa, Alexander Mathis

CoRR, March, 2025

PICLe: Pseudo-annotations for In-Context Learning in Low-Resource Named Entity Detection.

Sepideh Mamooler, Syrielle Montariol, Alexander Mathis, Antoine Bosselut

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MammAlps: A Multi-view Video Behavior Monitoring Dataset of Wild Mammals in the Swiss Alps.

Valentin Gabeff, Haozhe Qi, Brendan Flaherty, Gencer Sumbul, Alexander Mathis, Devis Tuia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Processed data and trained models.

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis

Dataset, November, 2024

WildCLIP: Scene and Animal Attribute Retrieval from Camera Trap Data with Domain-Adapted Vision-Language Models.

Valentin Gabeff, Marc Rußwurm, Devis Tuia, Alexander Mathis

Int. J. Comput. Vis., September, 2024

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Synthetic data.

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis

Dataset, June, 2024

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Synthetic data.

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis

Dataset, June, 2024

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields: Processed data and trained models.

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis

Dataset, June, 2024

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models.

Valentin Gabeff, Marc Rußwurm, Devis Tuia, Alexander Mathis

Dataset, May, 2024

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models.

Valentin Gabeff, Marc Rußwurm, Devis Tuia, Alexander Mathis

Dataset, January, 2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.

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, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut

CoRR, 2024

ODEFormer: Symbolic Regression of Dynamical Systems with Transformers.

Stéphane d'Ascoli, Sören Becker, Philippe Schwaller, Alexander Mathis, Niki Kilbertus

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders.

Lucas Stoffl, Andy Bonnetto, Stéphane d'Ascoli, Alexander Mathis

Proceedings of the Computer Vision - ECCV 2024, 2024

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields.

Haozhe Qi, Chen Zhao, Mathieu Salzmann, Alexander Mathis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

AmadeusGPT: a natural language interface for interactive animal behavioral analysis.

Shaokai Ye, Jessy Lauer, Mu Zhou, Alexander Mathis, Mackenzie W. Mathis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Latent exploration for Reinforcement Learning.

Alberto Silvio Chiappa, Alessandro Marin Vargas, Ann Zixiang Huang, Alexander Mathis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Panoptic animal pose estimators are zero-shot performers.

Shaokai Ye, Alexander Mathis, Mackenzie Weygandt Mathis

CoRR, 2022

DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body.

Alberto Silvio Chiappa, Alessandro Marin Vargas, Alexander Mathis

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Seeing biodiversity: perspectives in machine learning for wildlife conservation.

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

CoRR, 2021

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

Lucas Stoffl, Maxime Vidal, Alexander Mathis

CoRR, 2021

Measuring and modeling the motor system with machine learning.

Sébastien B. Hausmann, Alessandro Marin Vargas, Alexander Mathis, Mackenzie W. Mathis

CoRR, 2021

Perspectives on individual animal identification from biology and computer vision.

Maxime Vidal, Nathan Wolf, Beth Rosenberg, Bradley P. Harris, Alexander Mathis

CoRR, 2021

Pretraining boosts out-of-domain robustness for pose estimation.

Alexander Mathis, Thomas Biasi, Steffen Schneider, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild.

Daniel Joska, Liam Clark, Naoya Muramatsu, Ricardo Jericevich, Fred Nicolls, Alexander Mathis, Mackenzie W. Mathis, Amir Patel

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives.

Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis

CoRR, 2020

2019

Deep learning tools for the measurement of animal behavior in neuroscience.

Mackenzie W. Mathis, Alexander Mathis

CoRR, 2019

Pretraining boosts out-of-domain robustness for pose estimation.

Alexander Mathis, Mert Yüksekgönül, Byron Rogers, Matthias Bethge, Mackenzie W. Mathis

CoRR, 2019

2018

Markerless tracking of user-defined features with deep learning.

Alexander Mathis, Pranav Mamidanna, Taiga Abe, Kevin M. Cury, Venkatesh N. Murthy, Mackenzie W. Mathis, Matthias Bethge

CoRR, 2018

2012

Optimal Population Codes for Space: Grid Cells Outperform Place Cells.

Alexander Mathis, Andreas V. M. Herz, Martin Stemmler

Neural Comput., 2012