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20212026
most citedMultimodal Fake News Detection via CLIP-Guided Learning

6 citations · 26 across the 24 of their papers we have counts for

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18 papers · 1 filter

cs.CV2026

Grounding and Explaining Visual Evidence for AI-Generated Image Detection in Human-Centric Scenes

Kun Guo, Yuzhou Yang, Haoyue Wang +3

Rapid advances in image generation models call for interpretable AI-generated image detection methods that not only determine authenticity but also provide supporting visual eviden…

cs.CV2026

PROVE: Proof-guided Regime-aware Operator Verification for Hallucination Detection in Medical Visual Question Answering

Keyang Zhou, Siyi Li, Zhongnan Shi +3

In medical visual question answering (VQA), hallucinations of vision-language models (VLMs) may lead to confident but incorrect responses, raising the risk of diagnostic errors. Ex…

cs.CV2025

MoFRR: Mixture of Diffusion Models for Face Retouching Restoration

Jiaxin Liu, Qichao Ying, Zhenxing Qian +4

The widespread use of face retouching on social media platforms raises concerns about the authenticity of face images. While existing methods focus on detecting face retouching, ho…

cs.CV2024★ 1 cited

Fact-checking based fake news detection: a review

Yuzhou Yang, Yangming Zhou, Qichao Ying +3

This paper reviews and summarizes the research results on fact-based fake news from the perspectives of tasks and problems, algorithm strategies, and datasets. First, the paper sys…

cs.CV2024★ 1 cited

PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning

Xuntao Liu, Yuzhou Yang, Qichao Ying +3

Deceptive images can be shared in seconds with social networking services, posing substantial risks. Tampering traces, such as boundary artifacts and high-frequency information, ha…

cs.CV2024

From Covert Hiding to Visual Editing: Robust Generative Video Steganography

Xueying Mao, Xiaoxiao Hu, Wanli Peng +5

Traditional video steganography methods are based on modifying the covert space for embedding, whereas we propose an innovative approach that embeds secret message within semantic…

cs.CV2023

DRAW: Defending Camera-shooted RAW against Image Manipulation

Xiaoxiao Hu, Qichao Ying, Zhenxing Qian +2

RAW files are the initial measurement of scene radiance widely used in most cameras, and the ubiquitously-used RGB images are converted from RAW data through Image Signal Processin…

cs.CV2023

RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching Detection

Qichao Ying, Jiaxin Liu, Sheng Li +3

The widespread use of face retouching filters on short-video platforms has raised concerns about the authenticity of digital appearances and the impact of deceptive advertising. To…

cs.CV2023

StyleStegan: Leak-free Style Transfer Based on Feature Steganography

Xiujian Liang, Bingshan Liu, Qichao Ying +2

In modern social networks, existing style transfer methods suffer from a serious content leakage issue, which hampers the ability to achieve serial and reversible stylization, ther…

cs.CV2023★ 2 cited

Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion

Yangming Zhou, Yuzhou Yang, Qichao Ying +2

The easy sharing of multimedia content on social media has caused a rapid dissemination of fake news, which threatens society's stability and security. Therefore, fake news detecti…

cs.CV2022★ 3 cited

Image Generation Network for Covert Transmission in Online Social Network

Zhengxin You, Qichao Ying, Sheng Li +2

Online social networks have stimulated communications over the Internet more than ever, making it possible for secret message transmission over such noisy channels. In this paper,…

cs.CV2022★ 4 cited

Robust Watermarking for Video Forgery Detection with Improved Imperceptibility and Robustness

Yangming Zhou, Qichao Ying, Xiangyu Zhang +3

Videos are prone to tampering attacks that alter the meaning and deceive the audience. Previous video forgery detection schemes find tiny clues to locate the tampered areas. Howeve…

cs.CV2022★ 5 cited

Bootstrapping Multi-view Representations for Fake News Detection

Qichao Ying, Xiaoxiao Hu, Yangming Zhou +3

Previous researches on multimedia fake news detection include a series of complex feature extraction and fusion networks to gather useful information from the news. However, how cr…

cs.CV2022★ 6 cited

Multimodal Fake News Detection via CLIP-Guided Learning

Yangming Zhou, Qichao Ying, Zhenxing Qian +2

Multimodal fake news detection has attracted many research interests in social forensics. Many existing approaches introduce tailored attention mechanisms to guide the fusion of un…

cs.CV2021

Invertible Image Dataset Protection

Kejiang Chen, Xianhan Zeng, Qichao Ying +3

Deep learning has achieved enormous success in various industrial applications. Companies do not want their valuable data to be stolen by malicious employees to train pirated model…

cs.CV2021★ 2 cited

From Image to Imuge: Immunized Image Generation

Qichao Ying, Zhenxing Qian, Hang Zhou +3

We introduce Imuge, an image tamper resilient generative scheme for image self-recovery. The traditional manner of concealing image content within the image are inflexible and frag…

cs.CV2021

Hiding Images into Images with Real-world Robustness

Qichao Ying, Hang Zhou, Xianhan Zeng +3

The existing image embedding networks are basically vulnerable to malicious attacks such as JPEG compression and noise adding, not applicable for real-world copyright protection ta…

cs.CV2021

RWN: Robust Watermarking Network for Image Cropping Localization

Qichao Ying, Xiaoxiao Hu, Xiangyu Zhang +2

Image cropping can be maliciously used to manipulate the layout of an image and alter the underlying meaning. Previous image crop detection schemes only predicts whether an image h…