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[CVPR 2025]Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction

active 2024-12-172026-02-13 (UTC)

Complete coverage26,568 / 26,568 hourly files (100%) · 2 absent upstream2023-08-152026-08-25 (UTC)
Events
181
Pushes
17
Pull requests
0
Issues
11
Stars
131
Forks
7

Activity over time

Daily event counts in the loaded window

Line chart, 424 days from 2024-12-17 to 2026-02-13. Pushes: 17 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 11 total, peak 3 in a day. Comments: 13 total, peak 3 in a day. Stars: 131 total, peak 21 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
Mark12Ding241704
juancarlovieri4004
NielsRogge3002
aiclaudev2001
SeongRyong07262001
zhangyl41000
notus1261000
daeunni1001
cokeshao1000
takan551000
ChangGiMoon1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#8SeongRyong07262025-07-16 12:49
    Questions regarding implementation and evaluation code for StreamingBench
  • Issue comment#8aiclaudev2025-07-03 01:58
    Questions regarding implementation and evaluation code for StreamingBench
  • Issue comment#8juancarlovieri2025-07-02 08:16
    Questions regarding implementation and evaluation code for StreamingBench
  • Issue comment#8juancarlovieri2025-07-02 07:51
    Questions regarding implementation and evaluation code for StreamingBench
  • Issue comment#8juancarlovieri2025-07-02 07:30
    Questions regarding implementation and evaluation code for StreamingBench
  • Issue comment#8juancarlovieri2025-07-01 09:41
    Questions regarding implementation and evaluation code for StreamingBench
  • Issue comment#7daeunni2025-06-18 05:29
    release schedule for training code?
  • Issue#8aiclaudev2025-06-13 02:40
    Questions regarding implementation and evaluation code for StreamingBench
  • Issue#7ChangGiMoon2025-05-12 06:30
    release schedule for training code?
  • Issue#6notus1262025-05-07 07:30
    Can you share the specific results for "short", "medium" and "long" in VideoMME ?
  • Issue#5Mark12Ding2025-03-29 16:14
    What is your training cost?
  • Issue#4Mark12Ding2025-03-29 16:13
    when can I expect the training code to be released?
  • Issue comment#4Mark12Ding2025-03-29 16:13
    when can I expect the training code to be released?
  • Issue comment#5Mark12Ding2025-03-29 16:12
    What is your training cost?
  • Issue#5cokeshao2025-03-29 13:14
    What is your training cost?
  • Issue#4takan552025-03-21 13:31
    when can I expect the training code to be released?
  • Issue comment#1NielsRogge2025-03-19 19:22
    Release Dispider checkpoints on Hugging Face
  • Issue comment#1NielsRogge2025-03-19 19:21
    Release Dispider checkpoints on Hugging Face
  • Issue comment#1Mark12Ding2025-03-18 23:33
    Release Dispider checkpoints on Hugging Face
  • Issue#1Mark12Ding2025-03-18 23:33
    Release Dispider checkpoints on Hugging Face
  • Issue#3zhangyl42025-03-15 15:21
    Will the streaming response inference code be open-sourced?
  • Issue comment#2Mark12Ding2025-03-13 07:47
    image_processor is None. loading pertained_model fail
  • Issue#2SeongRyong07262025-03-13 07:29
    image_processor is None. loading pertained_model fail
  • Issue#1NielsRogge2025-01-09 09:14
    Release Dispider checkpoints on Hugging Face

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 131 stars here means stars gained during the window, not the repo's star count.