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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...
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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...