collaborators

20 papers

cs.CV2026

PhyCheck: Fine-Grained Evidence-Grounded Dataset for Physical Law Understanding in Video-LLMs

Zhongjie Ba, Shengwang Xu, Peng Cheng +4

Embodied intelligence and world models require video understanding systems to go beyond recognizing objects and actions and develop an understanding of physical regularities. Howev…

cs.CV2026

Ghosts Beneath Textures: Texture-Relation Cues for Cross-Paradigm AI-Generated Image Detection

Haoyu Wang, Yiming Qin, Zhongjie Ba +4

AI-generated images have proliferated rapidly, motivating extensive research. Most existing AI-generated image detectors are developed and evaluated under image-free generation par…

cs.SD2026

HyperPotter: Spell the Charm of High-Order Interactions in Audio Deepfake Detection

Qing Wen, Haohao Li, Zhongjie Ba +4

Advances in AIGC technologies have enabled the synthesis of highly realistic audio deepfakes capable of deceiving human auditory perception. Although numerous audio deepfake detect…

cs.CV2026

MVAD: A Benchmark Dataset for Multimodal AI-Generated Video-Audio Detection

Mengxue Hu, Yunfeng Diao, Changtao Miao +7

The rapid advancement of AI-generated multimodal video-audio content has raised significant concerns regarding information security and content authenticity. Existing synthetic vid…

cs.CV2026

When Detectors Forget Forensics: Blocking Semantic Shortcuts for Generalizable AI-Generated Image Detection

Chao Shuai, Shaojing Fan, Chenlin Zou +6

The growing realism of generative models has blurred the boundary between real and synthetic content, posing significant challenges to reliable AI-generated image detection. Althou…

cs.SD2026

MixFake: Benchmarking and Enhancing Audio Deepfake Detection in Diverse Real-world Mixed Audio

Qingcao Li, Yipeng Lin, Weichen Lian +3

Speech deepfake detection has achieved remarkable success in clean environments but faces significant challenges in complex, real-world scenarios where speech is often mixed with b…