5 papers · 1 filter
DBMF: A Dual-Branch Multimodal Framework for Out-of-Distribution Detection
Jiangbei Yue, Darren Treanor, Venkataraman Subramanian +1
The complex and dynamic real-world clinical environment demands reliable deep learning (DL) systems. Out-of-distribution (OOD) detection plays a critical role in enhancing the reli…
MultiHateLoc: Towards Temporal Localisation of Multimodal Hate Content in Online Videos
Qiyue Sun, Tailin Chen, Yinghui Zhang +4
The rapid growth of video content on platforms such as TikTok and YouTube has intensified the spread of multimodal hate speech, where harmful cues emerge subtly and asynchronously…
Reasoning-Aware Multimodal Fusion for Hateful Video Detection
Shuonan Yang, Tailin Chen, Jiangbei Yue +3
Hate speech in online videos is posing an increasingly serious threat to digital platforms, especially as video content becomes increasingly multimodal and context-dependent. Exist…
Multimodal Hate Detection Using Dual-Stream Graph Neural Networks
Jiangbei Yue, Shuonan Yang, Tailin Chen +2
Hateful videos present serious risks to online safety and real-world well-being, necessitating effective detection methods. Although multimodal classification approaches integratin…
Revealing Temporal Label Noise in Multimodal Hateful Video Classification
Shuonan Yang, Tailin Chen, Rahul Singh +3
The rapid proliferation of online multimedia content has intensified the spread of hate speech, presenting critical societal and regulatory challenges. While recent work has advanc…