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Can we improve context window and/or reduce computation/hard drive space for pose-based Sign Language Processing by leveraging compression schemes?

active 2024-12-162025-02-06 (UTC)

Complete coverage26,544 / 26,544 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
16
Pushes
10
Pull requests
0
Issues
4
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 53 days from 2024-12-16 to 2025-02-06. Pushes: 10 total, peak 4 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 4 total, peak 3 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
cleong110141000

Recent activity

Latest issues, pull requests and releases

  • Issue#4cleong1102025-02-06 15:42
    FAST tokenization: DCT on trajectories?
  • Issue#3cleong1102024-12-16 19:31
    Try out trajectory-compression algorithms
  • Issue#2cleong1102024-12-16 19:10
    Setup a benchmark
  • Issue#1cleong1102024-12-16 19:05
    Gather some stats: .mp4 vs .pose vs .png files

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.