"PoseRN: A 2D Pose Refinement Network For Bias-Free Multi-View 3D Human ..."

Akihiko Sayo et al. (2021)

> Home

Details and statistics

DOI: 10.1109/ICIP42928.2021.9506022

access: closed

type: Conference or Workshop Paper

metadata version: 2022-02-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icip/SayoTKNI21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icip/SayoTKNI21
Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki, Yuta Nakashima, Katsushi Ikeuchi:
PoseRN: A 2D Pose Refinement Network For Bias-Free Multi-View 3D Human Pose Estimation. ICIP 2021: 3233-3237

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.