"SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction."

Liushuai Shi et al. (2021)

> Home

Details and statistics

DOI: 10.1109/CVPR46437.2021.00888

access: open

type: Conference or Workshop Paper

metadata version: 2022-07-18

- view
  - electronic edition @ thecvf.com (open access)
  - electronic edition via DOI
  authority control:
- export record
  dblp key:
  - conf/cvpr/Shi0LZZN021
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/Shi0LZZN021
Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua:
SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction. CVPR 2021: 8994-9003

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.