ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation-Reference-Cited by-同舟云学术

ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Fan Zicong¹,Taheri Omid²,Tzionas Dimitrios³,Kocabas Muhammed¹,Kaufmann Manuel¹,Black Michael J.²,Hilliges Otmar¹

Affiliation:

1. ETH Zürich,Switzerland

2. Max Planck Institute for Intelligent Systems,Tubingen,Germany

3. University of Amsterdam

Funder

German Federal Ministry of Education and Research (BMBF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203858.pdf?arnumber=10203858

Reference78 articles.

1. Learning to disam-biguate strongly interacting hands via probabilistic per-pixel part segmentation;fan;International Conference on 3D Vision (3DV),0

2. H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions

3. GanHand: Predicting Human Grasp Affordances in Multi-Object Scenes

4. GRAB: A dataset of whole-body human grasping of objects;taheri;European Conference on Computer Vision (ECCV),0

5. First-person hand action bench-mark with RGB-D videos and 3D hand pose annotations;garcia-hernando;Computer Vision and Pattern Recognition (CVPR),2018

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