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ICASSP'22 Training Strategies for Improved Lip-Reading; ICASSP'21 Towards Practical Lipreading with Distilled and Efficient Models; ICASSP'20 Lipreading using Temporal Convolutional Networks

active 2023-08-222026-01-10 (UTC)

Complete coverage26,532 / 26,532 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
182
Pushes
0
Pull requests
0
Issues
10
Stars
141
Forks
24

Activity over time

Daily event counts in the loaded window

Line chart, 873 days from 2023-08-22 to 2026-01-10. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 10 total, peak 2 in a day. Comments: 7 total, peak 2 in a day. Stars: 141 total, peak 3 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
SHAIIM043001
kyrie05203002
Rathi4research3001
mpc0012001
BaochaoZhu2001
seuklee10251000
StephanPan1001
souvikg5441000
rzwang1111000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#65kyrie05202024-11-01 03:25
    The code for the Knowledge Distillation loss
  • Issue comment#65kyrie05202024-11-01 03:23
    The code for the Knowledge Distillation loss
  • Issue#66kyrie05202024-10-31 15:36
    预处理问题
  • Issue#65BaochaoZhu2024-10-31 07:48
    The code for the Knowledge Distillation loss
  • Issue comment#24BaochaoZhu2024-10-31 07:45
    The code for the Knowledge Distillation loss
  • Issue comment#14StephanPan2024-01-05 02:20
    Reproduce on LRW1000,only get 38.6,how can get 41.4?
  • Issue#64souvikg5442023-11-07 18:52
    How are you dealing with varied length of input - like some are 29,28,27.
  • Issue#63Rathi4research2023-10-29 17:02
    How to create .pkl file for my own video
  • Issue#62rzwang1112023-10-16 06:41
    Your work is excellent! How can I calculate lip reading loss L between the face my model reders and my ground truth image?
  • Issue#61SHAIIM042023-10-05 00:17
    KeyError: 'optimizer_state_dict' arise with Pretrined model
  • Issue#58SHAIIM042023-10-05 00:09
    RuntimeError: CUDA error: device-side assert triggered
  • Issue comment#58SHAIIM042023-10-05 00:09
    RuntimeError: CUDA error: device-side assert triggered
  • Issue#60mpc0012023-10-03 15:00
    Not able to evaluate visual-only performance using the pre-processed npz files
  • Issue comment#60Rathi4research2023-09-25 15:32
    Not able to evaluate visual-only performance using the pre-processed npz files
  • Issue comment#60mpc0012023-09-17 14:51
    Not able to evaluate visual-only performance using the pre-processed npz files
  • Issue#60Rathi4research2023-09-16 14:19
    Not able to evaluate visual-only performance using the pre-processed npz files
  • Issue#59seuklee10252023-08-29 07:04
    Can you tell me how to get word boundary from real reasoning?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 141 stars here means stars gained during the window, not the repo's star count.