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Naureen Mahmood

2 papers hereh-index 98.3k citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedLearning from Synthetic Humans

978 citations · 978 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2019

AMASS: Archive of Motion Capture as Surface Shapes

Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje +2

Large datasets are the cornerstone of recent advances in computer vision using deep learning. In contrast, existing human motion capture (mocap) datasets are small and the motions…

cs.CV2017★ 978 cited

Learning from Synthetic Humans

Gül Varol, Javier Romero, Xavier Martin +4

Estimating human pose, shape, and motion from images and videos are fundamental challenges with many applications. Recent advances in 2D human pose estimation use large amounts of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.