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Qiangyu YAN

3 accepted papers

2026

GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection

AAAI 2026technical

The rapid advancement of video generation models has made it increasingly challenging to distinguish AI-generated videos from real ones. This issue underscores the urgent need for effective AI-generated video detectors to prevent the dissemination of false information via such videos. However, the d

Cited by 0SourcePDFScholar
2025

GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization

AAAI 2025technical

The extraordinary ability of generative models emerges as a new trend in image editing and generating realistic images, posing a serious threat to the trustworthiness of multimedia data and driving the research of image manipulation detection and location (IMDL). However, the lack of a large-scale d…

2023

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

NeurIPS 2023poster

The extraordinary ability of generative models to generate photographic images has intensified concerns about the spread of disinformation, thereby leading to the demand for detectors capable of distinguishing between AI-generated fake images and real images. However, the lack of large datasets cont…

Cited by 137SourcePDFScholar