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    Chapter and Conference Paper

    Feature-Robust Optimal Transport for High-Dimensional Data

    Optimal transport is a machine learning problem with applications including distribution comparison, feature selection, and generative adversarial networks. In this paper, we propose feature-robust optimal tra...

    Mathis Petrovich, Chao Liang, Ryoma Sato… in Machine Learning and Knowledge Discovery i… (2023)

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    Chapter and Conference Paper

    TEMOS: Generating Diverse Human Motions from Textual Descriptions

    We address the problem of generating diverse 3D human motions from textual descriptions. This challenging task requires joint modeling of both modalities: understanding and extracting useful human-centric info...

    Mathis Petrovich, Michael J. Black, Gül Varol in Computer Vision – ECCV 2022 (2022)