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.
论文题目: D. Liu, X. Liu, S. Peng, L. Zhu, Z. Cui, H. Li. Enhancing Multi-View Clustering via Mutual Contrastive Teacher-Student Leaning. ICDM, 2022.
论文题目: Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang. Graph Jigsaw Learning for Cartoon Face Recognition. IEEE Transactions on Image Processing (T-IP) 22.