招生宣传:

欢迎校内外的本学科或跨学科优秀保研推免生或优秀考研生加入VGG小组!详情点击>>>

Introduction:

Vision and Graph Group (VGG) is affiliated with the PCA Lab, School of Computer Science and Engineering, Nanjing University of Science and Technology.
The VGG’s study covers Computer Vision (CV) and Artificial Intelligence (AI). Specifically, the study group focuses on graph learning (graph neural network), vision perception & computation (segmentation/detection/tracking), face analysis (emotion), etc. In addition, VGG also pays attention to many applications such as anomaly detection, intelligent agent, etc. The study group aims to develop/create novel intelligent theories/methods to solve some key problems in CV & AI.
Currently, the group contains more than 30 members totally, four full-time teachers among them. Please see the internal website for more details.


Latest News:

Congratulations for best paper of TAC!

best paper of TAC.

祝贺论文获IEEE Transactions on Affective Computing期刊最佳论文。

论文题目: Tengfei Song, Wenming Zheng, Peng Song, Zhen Cui. EEG emotion recognition using dynamical graph convolutional neural networks. IEEE Transactions on Affective Computing(TAC) 18.

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