“2022-04-25”版本间的差异

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(10位用户的13个中间修订版本未显示)
第5行: 第5行:
 
|Dong Wang
 
|Dong Wang
 
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* Keep on visualization review
 
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* Complete the visualization review
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* More on graphical AI
 
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第41行: 第42行:
 
|Ying Shi
 
|Ying Shi
 
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* investigate CNN channel [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=shiying&step=view_request&cvssid=854 cvss]
 
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* continue work on CNN
 
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第52行: 第53行:
 
|Haoran Sun
 
|Haoran Sun
 
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* l1 adv loss
 
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* subjective evaluation
 
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第63行: 第64行:
 
|Chen Chen
 
|Chen Chen
 
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* Review AVSR & LipReading papers
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* Prepare course quiz & project
 
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* Review AVSR & LipReading papers
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* Pre-process LRW-1000 dataset and test pretrain model
 
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第74行: 第77行:
 
|Pengqi Li
 
|Pengqi Li
 
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* Project
 
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* Project (Done)
 
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第95行: 第98行:
 
|Zixi Yan
 
|Zixi Yan
 
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* Noss experimental system construction
 
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第105行: 第108行:
 
|Sirui Li
 
|Sirui Li
 
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* Prepare weekly reading report
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* Generate lexicon  with 10 Clusters
 
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* Remove speaker information for phonetic classification
 
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第116行: 第120行:
 
|Haoyu Jiang
 
|Haoyu Jiang
 
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* Read paper about these model
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* Test on VGG model
 
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* Go on test
 
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第127行: 第132行:
 
|Ruihai Hou
 
|Ruihai Hou
 
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* continue organizing the code structure for speaker diarization
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* add time license
 
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第138行: 第144行:
 
|Renmiao Chen
 
|Renmiao Chen
 
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* Prepare course quiz & project
 
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* Read some paper about cross-modal
 
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2022年4月25日 (一) 11:05的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Keep on visualization review
  • Complete the visualization review
  • More on graphical AI
Yunqi Cai
Lantian Li
  • Push CNCSRC
  • Posdoc report (4/5)
  • Push CNCSRC (Template)
  • PUFA project delivery
  • Posdoc report (Done)
Ying Shi
  • investigate CNN channel cvss
  • continue work on CNN
Haoran Sun
  • l1 adv loss
  • subjective evaluation
Chen Chen
  • Review AVSR & LipReading papers
  • Prepare course quiz & project
  • Review AVSR & LipReading papers
  • Pre-process LRW-1000 dataset and test pretrain model
Pengqi Li
  • Project
  • Project (Done)
Weida Liang
Zixi Yan
  • Noss experimental system construction
Sirui Li
  • Prepare weekly reading report
  • Generate lexicon with 10 Clusters
  • Remove speaker information for phonetic classification
Haoyu Jiang
  • Read paper about these model
  • Test on VGG model
  • Go on test
Ruihai Hou
  • continue organizing the code structure for speaker diarization
  • add time license
Renmiao Chen
  • Prepare course quiz & project
  • Read some paper about cross-modal