6 citations · 8 across the 5 of their papers we have counts for
5 papers
DeceptionX: From Multimodal Evidence to Explainable Deception Detection
Jiayu Zhang, Shuo Ye, Jiajian Huang +8
Deception detection is a critical and highly challenging task within affective computing and behavioral analysis. Existing deep learning methods typically treat this task as a stra…
EPE-P: Evidence-based Parameter-efficient Prompting for Multimodal Learning with Missing Modalities
Zhe Chen, Xun Lin, Yawen Cui +1
Missing modalities are a common challenge in real-world multimodal learning scenarios, occurring during both training and testing. Existing methods for managing missing modalities…
TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model
Yuhao Wang, Chao Hao, Yawen Cui +4
The vision-language modeling capability of multi-modal large language models has attracted wide attention from the community. However, in medical domain, radiology report generatio…
Dynamic Analysis and Adaptive Discriminator for Fake News Detection
Xinqi Su, Zitong Yu, Yawen Cui +7
In current web environment, fake news spreads rapidly across online social networks, posing serious threats to society. Existing multimodal fake news detection methods can generall…
FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba
Xinyu Xie, Yawen Cui, Tao Tan +2
Multimodal image fusion aims to integrate information from different imaging techniques to produce a comprehensive, detail-rich single image for downstream vision tasks. Existing m…