A multimodal generative and fusion framework for recognizing faculty homepages

Guanyuan Yu, Qing Li, Jun Wang, Di Zhang, Yuehao Liu

Abstract: Highlights•The first faculty-oriented search engine, Professor++ was designed and implemented.•GFN was proposed for the mutually dependent multimodal data.•MGAN was designed for the imbalanced multimodal data.•Experiments showed the superiority of our framework.