collaborators

7 papers

cs.CV2026

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment

Kidus Zewde, Simiao Ren, Xingyu Shen +6

The release of GPT-image-2 by OpenAI marks a watershed moment in AI-generated imagery: the boundary between photographic reality and synthetic content has never been more difficult…

cs.CV2026

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents

Jiaqi Wu, Yuchen Zhou, Dennis Tsang Ng +5

OpenAI's GPT-Image-2 has effectively erased the visual boundary between authentic and AI-edited document images: a single number on a receipt can be replaced in under a second for…

cs.CV2026

A Synthetic Eye Movement Dataset for Script Reading Detection: Real Trajectory Replay on a 3D Simulator

Kidus Zewde, Yuchen Zhou, Dennis Ng +6

Large vision-language models have achieved remarkable capabilities by training on massive internet-scale data, yet a fundamental asymmetry persists: while LLMs can leverage self-su…

cs.CV2026

How well are open sourced AI-generated image detection models out-of-the-box: A comprehensive benchmark study

Simiao Ren, Yuchen Zhou, Xingyu Shen +9

As AI-generated images proliferate across digital platforms, reliable detection methods have become critical for combating misinformation and maintaining content authenticity. Whil…

cs.CV2025

Can Multi-modal (reasoning) LLMs detect document manipulation?

Zisheng Liang, Kidus Zewde, Rudra Pratap Singh +7

Document fraud poses a significant threat to industries reliant on secure and verifiable documentation, necessitating robust detection mechanisms. This study investigates the effic…

cs.CV2025

Can Multi-modal (reasoning) LLMs work as deepfake detectors?

Simiao Ren, Yao Yao, Kidus Zewde +8

Deepfake detection remains a critical challenge in the era of advanced generative models, particularly as synthetic media becomes more sophisticated. In this study, we explore the…