Xavier Martin — accepted AI-conference papers

2019

Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images

Valentin Gabeur, Jean-Sebastien Franco, Xavier Martin, Cordelia Schmid, Gregory Rogez

ICCV 2019poster

In this paper, we tackle the problem of 3D human shape estimation from single RGB images. While the recent progress in convolutional neural networks has allowed impressive results for 3D human pose estimation, estimating the full 3D shape of a person is still an open issue. Model-based approaches ca…

Cited by 152 PDF ↗Scholar ↗

2017

Learning From Synthetic Humans

Gul Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev +1

CVPR 2017poster

Estimating human pose, shape, and motion from images and video are fundamental challenges with many applications. Recent advances in 2D human pose estimation use large amounts of manually-labeled training data for learning convolutional neural networks (CNNs). Such data is time consuming to acquire…

Cited by 1234 PDF ↗Scholar ↗