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From the 1 of 10 linked papers with an AI index.

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10 papers

cs.CV2026

SphereVideo: Prototype-anchored Hyperspherical Boundary for Continual AI-generated Video Detection

Fei Li, Yue Yu, Yuran Wang +3

AI-generated video (AIGV) detection aims to distinguish real videos from AI-generated ones. In practice, detectors trained on existing data often fail to generalize to newly emergi…

cs.CV2026

DECODE: Tackling Representation and Decision Degradation in Continual AI-Generated Image Detection

Zihao Cai, Xinghan Li, Ruiyan Yang +3

The paper introduces DECODE, a framework that addresses both representation and decision-level forgetting in continual learning for AI-generated image detection, using subspace div…

cs.CV2026

VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection

Xinghan Li, Junhao Xu, Jingjing Chen

Multimodal large language models (MLLMs) offer a promising path toward interpretable deepfake detection by generating textual explanations. However, the reasoning process of curren…

cs.RO2026

From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors

Zhengshen Zhang, Hao Li, Yalun Dai +10

Existing vision-language-action (VLA) models act in 3D real-world but are typically built on 2D encoders, leaving a spatial reasoning gap that limits generalization and adaptabilit…

cs.CV2025

Revealing the Implicit Noise-based Imprint of Generative Models

Xinghan Li, Yue Yu, Xue Song +2

With the rapid advancement of vision generation models, the potential security risks stemming from synthetic visual content have garnered increasing attention, posing significant c…

cs.LG2025

Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold

Xinghan Li, Haodong Wen, Kaifeng Lyu

Despite the popularity of the Adam optimizer in practice, most theoretical analyses study Stochastic Gradient Descent (SGD) as a proxy for Adam, and little is known about how the s…