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Joao Pedro Araujo

4 papers hereh-index 3168 citations4 works total

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

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.RO1

identity via Semantic Scholar / OpenAlex

activity
20222025
most citedCIRCLE: Capture In Rich Contextual Environments

3 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2025★ 1 cited

Retargeting Matters: General Motion Retargeting for Humanoid Motion Tracking

Joao Pedro Araujo, Yanjie Ze, Pei Xu +2

Humanoid motion tracking policies are central to building teleoperation pipelines and hierarchical controllers, yet they face a fundamental challenge: the embodiment gap between hu…

cs.CV2025

VirtualFencer: Generating Fencing Bouts based on Strategies Extracted from In-the-Wild Videos

Zhiyin Lin, Purvi Goel, Joy Yun +2

Fencing is a sport where athletes engage in diverse yet strategically logical motions. While most motions fall into a few high-level actions (e.g. step, lunge, parry), the executio…

cs.CV2023★ 3 cited

CIRCLE: Capture In Rich Contextual Environments

Joao Pedro Araujo, Jiaman Li, Karthik Vetrivel +5

Synthesizing 3D human motion in a contextual, ecological environment is important for simulating realistic activities people perform in the real world. However, conventional optics…

cs.CV2022

NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action

Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou +4

The task of reconstructing 3D human motion has wideranging applications. The gold standard Motion capture (MoCap) systems are accurate but inaccessible to the general public due to…

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