CCF推荐+SCI二区期刊征收AI方向特刊|确定3个月出录用结果

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期刊名:NEUROCOMPUTING

中科院SCI分区:2区

CCF等级:人工智能目录下C类

官网:

http://www.elsevier.com/wps/find/journaldescription.cws_home/505628/description

Neurocomputing目前正在面向Vision Transformers and Graph-based Models for Human Activity Understanding特刊进行征稿,感兴趣的朋友可以关注一下。

特刊也是正刊,只是某个主题的专辑,不影响SCI检索!

该特刊截稿日期为2022年12月14日,录用通知日期为2023年3月1日。

For a wide array of computer vision tasks, such as image recognition, object detection, segmentation and image captioning, Vision Transformers and graph models have achieved excellent performance. This special issue seeks original contributions to advance the theory and algorithmic design of vision transformers and graph models for human activity understanding. In this special issue, we aim to present state-of-the-art vision transforms and graph models based human activity understanding techniques that are developed to solve problems related to (and not restricted to) activity modelling, action/activity recognition, prediction, etc.

call for paper链接:

https://www.sciencedirect.com/journal/neurocomputing/about/call-for-papers

提交链接:

https://www.editorialmanager.com/neucom/default1.aspx

关键词:

  • Vision Transformers
  • Graph Models
  • Action Recognition
  • Activity Recognition
  • Graph neural network
  • Action Predictions

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