Mathis Petrovich

According to our database, Mathis Petrovich authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation.

Mathis Petrovich, Or Litany, Umar Iqbal, Michael J. Black, Gül Varol, Xue Bin Peng, Davis Rempe

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

A Cross-Dataset Study for Text-based 3D Human Motion Retrieval.

Léore Bensabath, Mathis Petrovich, Gül Varol

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

2023

FsNet: Feature Selection Network on High-dimensional Biological Data.

Dinesh Singh, Héctor Climente-González, Mathis Petrovich, Eiryo Kawakami, Makoto Yamada

Proceedings of the International Joint Conference on Neural Networks, 2023

TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis.

Mathis Petrovich, Michael J. Black, Gül Varol

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

SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation.

Nikos Athanasiou, Mathis Petrovich, Michael J. Black, Gül Varol

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

2022

Feature-Robust Optimal Transport for High-Dimensional Data.

Mathis Petrovich, Chao Liang, Ryoma Sato, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

TEMOS: Generating Diverse Human Motions from Textual Descriptions.

Mathis Petrovich, Michael J. Black, Gül Varol

Proceedings of the Computer Vision - ECCV 2022, 2022

TEACH: Temporal Action Composition for 3D Humans.

Nikos Athanasiou, Mathis Petrovich, Michael J. Black, Gül Varol

Proceedings of the International Conference on 3D Vision, 2022

2021

Action-Conditioned 3D Human Motion Synthesis with Transformer VAE.

Mathis Petrovich, Michael J. Black, Gül Varol

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Feature Robust Optimal Transport for High-dimensional Data.

Mathis Petrovich, Chao Liang, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada

CoRR, 2020

Fast local linear regression with anchor regularization.

Mathis Petrovich, Makoto Yamada

CoRR, 2020

Tone Mapping Operators: Progressing Towards Semantic-Awareness.

Abhishek Goswami, Mathis Petrovich, Wolf Hauser, Frédéric Dufaux

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020