“2021-08-30”版本间的差异

来自cslt Wiki
跳转至: 导航搜索
 
(5位用户的6个中间修订版本未显示)
第5行: 第5行:
 
|Dong Wang
 
|Dong Wang
 
||  
 
||  
* Neural PCA experiments on FashionMNIST and kMNIST,  
+
* Neural PCA experiments on FashionMNIST and kMNIST, [http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=wangd&step=view_request&cvssid=830 link]
 
* Some variants of NPCA, in terms of sampling scheme, loss function, etc.
 
* Some variants of NPCA, in terms of sampling scheme, loss function, etc.
 
* Some work for thermal paper review  
 
* Some work for thermal paper review  
第19行: 第19行:
 
|Yunqi Cai
 
|Yunqi Cai
 
||   
 
||   
*  
+
* TASLP paper experiments and response
 +
* Thermal Speaking project
 
||
 
||
 
*  
 
*  
第30行: 第31行:
 
|Lantian Li
 
|Lantian Li
 
||  
 
||  
*  
+
* Prepare multi-modal datasets of CN-Celeb.
 +
* Monitor cvss 808 and 831.
 
||
 
||
*  
+
* Paper of `Hard trials'
 
||
 
||
 
*   
 
*   
第52行: 第54行:
 
|Haoran Sun
 
|Haoran Sun
 
||  
 
||  
*  
+
* emotion recognition on MSP-IMPROV
 
||
 
||
*  
+
* subjective evaluation
 
||
 
||
 
*   
 
*   
第136行: 第138行:
 
|Weida Liang
 
|Weida Liang
 
||   
 
||   
*  
+
* Try a two-step training to improve the baseline exemplar encoder
 +
* Collect test data of the method
 
||
 
||
*  
+
* Continue another possible method on multi-step training.
 
||
 
||
 
*   
 
*   

2021年8月30日 (一) 06:07的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • Neural PCA experiments on FashionMNIST and kMNIST, link
  • Some variants of NPCA, in terms of sampling scheme, loss function, etc.
  • Some work for thermal paper review
  • TASLP paper response
  • Continue the NPCA and paper review.
Yunqi Cai
  • TASLP paper experiments and response
  • Thermal Speaking project
Lantian Li
  • Prepare multi-modal datasets of CN-Celeb.
  • Monitor cvss 808 and 831.
  • Paper of `Hard trials'
Ying Shi
Haoran Sun
  • emotion recognition on MSP-IMPROV
  • subjective evaluation
Jiao Han
Di Wang
  • Complete cross-channel experiment doc.
  • Data processing for CNC1 and CNC2.
Tiankai Zhi
Chen Chen
  • read paper about SN-net(two branchs DAE)
  • attend graduate freshman lectures
  • run UASR code
  • attend graduate freshman lectures
Jingxin Shen
Pengqi Li
  • Compare MAML and R-MAML on MiniImagenet for Fast Adaptation
  • study of [808]
Qingyang Zhu
Weida Liang
  • Try a two-step training to improve the baseline exemplar encoder
  • Collect test data of the method
  • Continue another possible method on multi-step training.