"LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos."

Daniel Etaat et al. (2025)

> Home

Details and statistics

DOI: 10.1109/CVPR52734.2025.00667

access: open

type: Conference or Workshop Paper

metadata version: 2025-08-20

- view
  - electronic edition @ thecvf.com (open access)
  - electronic edition via DOI
  authority control:
- export record
  dblp key:
  - conf/cvpr/EtaatKRS25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cvpr/EtaatKRS25
Daniel Etaat, Dvij Kalaria, Nima Rahmanian, S. Shankar Sastry:
LATTE-MV: Learning to Anticipate Table Tennis Hits from Monocular Videos. CVPR 2025: 7115-7124

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.