most citedEnhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion

5 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

CLARA: Clip-Level Multimodal Alignment with VLM-Derived Rationales for Hateful Video Detection

Yuchen Zhang, Shuang Dai, Zeyu Fu +3

Hateful video detection has become increasingly important with the rapid growth of video-centric social media platforms, given the serious risks that hate speech poses to both indi…

cs.CV2026

REVEAL: Reference-Grounded Reasoning for Multimodal Manipulation Detection

Jun Zhou, Bingwen Hu, Yaxiong Wang +4

Multimodal manipulation detection aims to simultaneously identify forged image--text pairs and localize tampered regions, yet existing methods typically rely on memorizing isolated…

cs.CV2026

OmniVL-Guard Pro: A Tool-Augmented Agent for Omnibus Vision-Language Forensics

Jinjie Shen, Zheng Huang, Yuchen Zhang +7

Existing vision-language forgery detection and grounding methods operate under a closed-world paradigm, assuming verification can be completed by the model alone. However, self-con…

cs.CV2026

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…

cs.CV2026

Training-Free and Interpretable Hateful Video Detection via Multi-stage Adversarial Reasoning

Shuonan Yang, Yuchen Zhang, Zeyu Fu

Hateful videos pose serious risks by amplifying discrimination, inciting violence, and undermining online safety. Existing training-based hateful video detection methods are constr…

cs.AI2025

Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline

Haiyang Li, Yaxiong Wang, Shengeng Tang +6

Detecting deceptive multimodal content on social media has become an increasingly important problem. Two major types of deception dominate: human-crafted misinformation (e.g., rumo…

cs.MM2025★ 5 cited

Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion

Yinghui Zhang, Tailin Chen, Yuchen Zhang +1

The rapid rise of video content on platforms such as TikTok and YouTube has transformed information dissemination, but it has also facilitated the spread of harmful content, partic…