collaborators

7 papers

cs.CV2026

Learning Continuous Source Responses For Generalizable AI-Generated Image Detection

Manni Cui, Ruiqi Liu, Zijian Yu +8

Advances in image generation have made synthetic images increasingly difficult to distinguish from real photographs, raising concerns about the trustworthiness of visual media. Exi…

cs.RO2026

PRM-as-a-Judge 1.5: A Toolkit for Robot Process Assessment

Yuyang Liu, Yanqing Shen, Ruike Chen +22

Fine-grained robotic evaluation matters for understanding embodied models, going beyond binary success rates and rule-based process scores. We present PRM-as-a-Judge 1.5, a toolkit…

cs.CV2026

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection

Manni Cui, Ziheng Qin, ZiAn Wang +8

AI-generated videos (AIGVs) typically contain subtle temporal artifacts that arise from inter-frame inconsistencies rather than within individual frames. A detector that captures s…

cs.CV2026

GlobalForge: Towards Robust AI-Generated Image Detection

Manni Cui, Ruiqi Liu, Dianyuan Zou +8

AI-generated image (AIGI) detectors achieve strong accuracy on clean benchmarks, but their performance drops sharply after images are propagated through real-world channels. We tra…

cs.CV2026

MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection

Ruiqi Liu, Manni Cui, Ziheng Qin +12

High-fidelity generative models have narrowed the perceptual gap between synthetic and real images, posing serious threats to media security. Most existing AI-generated image (AIGI…

cs.CV2025

Towards Cross-View Point Correspondence in Vision-Language Models

Yipu Wang, Yuheng Ji, Yuyang Liu +10

Cross-view correspondence is a fundamental capability for spatial understanding and embodied AI. However, it is still far from being realized in Vision-Language Models (VLMs), espe…

cs.CV2025

Scaling Up AI-Generated Image Detection with Generator-Aware Prototypes

Ziheng Qin, Yuheng Ji, Renshuai Tao +4

The pursuit of a universal AI-generated image (AIGI) detector often relies on aggregating data from numerous generators to improve generalization. However, this paper identifies a…