Search Results for author: Joao Pedro Araujo

Found 2 papers, 2 papers with code

CIRCLE: Capture In Rich Contextual Environments

1 code implementation CVPR 2023 Joao Pedro Araujo, Jiaman Li, Karthik Vetrivel, Rishi Agarwal, Deepak Gopinath, Jiajun Wu, Alexander Clegg, C. Karen Liu

Leveraging our dataset, the model learns to use ego-centric scene information to achieve nontrivial reaching tasks in the context of complex 3D scenes.

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

1 code implementation28 Dec 2022 Kuan-Chieh Wang, Zhenzhen Weng, Maria Xenochristou, Joao Pedro Araujo, Jeffrey Gu, C. Karen Liu, Serena Yeung

Empirically, we show that NeMo can recover 3D motion in sports using videos from the Penn Action dataset, where NeMo outperforms existing HMR methods in terms of 2D keypoint detection.

3D Reconstruction Human Mesh Recovery +1

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