1 code implementation • 18 Jun 2024 • Yidan Sun, Jianfei Yu, Boyang Li
To address these issues, in this paper, we construct a large-scale multilingual video story dataset named Multilingual Synopses of Movie Narratives (M-SYMON), containing 13, 166 movie summary videos from 7 languages, as well as manual annotation of fine-grained video-text correspondences for 101. 5 hours of video.
1 code implementation • 16 Nov 2023 • Yidan Sun, Qin Chao, Boyang Li
Cognitive science and symbolic AI research suggest that event causality provides vital information for story understanding.
no code implementations • 15 Jun 2023 • Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, Boyang Li
Contemporary news reporting increasingly features multimedia content, motivating research on multimedia event extraction.
no code implementations • 11 Mar 2022 • Yidan Sun, Qin Chao, Yangfeng Ji, Boyang Li
Despite recent advances of AI, story understanding remains an open and under-investigated problem.
no code implementations • 19 Apr 2021 • Yidan Sun, Guiyuan Jiang, Siew-Kei Lam, Peilan He, Fangxin Ning
We propose a Heterogeneous Spatial Correlation (HSC) model to capture the spatial correlation based on a specific measurement, where the traffic data of varying road segments can be heterogeneous (i. e. obtained with different sampling frequency).