Shintaro Yamamoto, Yoshihiro Fukuhara, Ryota Suzuki, Shigeo Morishima and Hirokatsu Kataoka

Automatic Paper Summary Generation from Visual and Textual Information

The 11th International Conference on Machine Vision (ICMV 2018), Oral, V101

Due to the recent boom in artificial intelligence (AI) research, including computer vision (CV), it has become impossible for researchers in these fields to keep up with the exponentially increasing number of manuscripts. In response to this situation, this paper proposes the paper summary generation (PSG) task using a simple but effective method to automatically generate an academic paper summary from raw PDF data. After processing via our PSG, the 979 manuscripts accepted by the Conference on Computer Vision and Pattern Recognition (CVPR) 2018 will be available. It is believed that the proposed method will provide a better way for researchers to stay caught with important academic papers.