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cs.CV2026
StochasT: Learning with Stochastic Turn Depth for Visual Instruction Tuning
Yuan Qing, Chengzhi Mao, Boqing Gong
Large Vision-Language Models (LVLMs) rely extensively on Visual Instruction Tuning (VIT) to elicit their multimodal reasoning capabilities. However, we find a discrepancy: VIT ofte…
cs.CV2026
Moiré Video Authentication: A Physical Signature Against AI Video Generation
Yuan Qing, Kunyu Zheng, Lingxiao Li +2
Recent advances in video generation have made AI-synthesized content increasingly difficult to distinguish from real footage. We propose a physics-based authentication signature th…