4 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…
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…
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…