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20242026
most citedOn Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

1 citations · 1 across the 11 of their papers we have counts for

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cs.CV2025

Consolidating Diffusion-Generated Video Detection with Unified Multimodal Forgery Learning

Xiaohong Liu, Xiufeng Song, Huayu Zheng +3

The proliferation of videos generated by diffusion models has raised increasing concerns about information security, highlighting the urgent need for reliable detection of syntheti…

cs.AI2025

VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning

Li Kang, Xiufeng Song, Heng Zhou +6

Coordinating multiple embodied agents in dynamic environments remains a core challenge in artificial intelligence, requiring both perception-driven reasoning and scalable cooperati…

cs.CV2025

UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines

Chen Tang, Xinzhu Ma, Encheng Su +6

Traditional spatiotemporal models generally rely on task-specific architectures, which limit their generalizability and scalability across diverse tasks due to domain-specific desi…

cs.CV2025

Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector

Xiao Guo, Xiufeng Song, Yue Zhang +2

Deepfake detection is a long-established research topic vital for mitigating the spread of malicious misinformation. Unlike prior methods that provide either binary classification…

cs.RO2025

RoboFactory: Exploring Embodied Agent Collaboration with Compositional Constraints

Yiran Qin, Li Kang, Xiufeng Song +5

Designing effective embodied multi-agent systems is critical for solving complex real-world tasks across domains. Due to the complexity of multi-agent embodied systems, existing me…