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[CVPR 2024 Highlight] Visual Point Cloud Forecasting

active 2024-11-082025-12-23 (UTC)

Partial coverage13,046 / 15,410 hourly files (85%) · 2 absent upstream · 2,358 failed, retryable2024-11-072026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
41
Pushes
0
Pull requests
0
Issues
3
Stars
33
Forks
3

Activity over time

Daily event counts in the loaded window

Line chart, 411 days from 2024-11-08 to 2025-12-23. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 33 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
abing2221000
Song-Jingyu1001
HiYellowC1000
OrcunCanDeniz1001
sally19131051000

Recent activity

Latest issues, pull requests and releases

  • Issue#48sally19131052025-11-24 08:28
    Potential Bug: Using Matrix Transpose Instead of Inverse Eliminates Translation in Transform Chain
  • Issue comment#28OrcunCanDeniz2025-08-04 08:17
    RuntimeError: CUDA error: no kernel image is available for execution on the device 2024-05-15T10:49:54.910116296Z CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. 2024-05-15T10:49:54.910125144Z For debugging consider passing CUDA_LAUNCH_BLOCKING=1
  • Issue comment#32Song-Jingyu2025-03-22 19:47
    About merge_nusc_fullset_pkl.py
  • Issue#45HiYellowC2025-02-26 03:37
    关于测试的问题
  • Issue#44abing2222024-11-30 08:58
    use_dist_loss or use_dense_loss, have you experimented with the accuracy difference between these two

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 33 stars here means stars gained during the window, not the repo's star count.