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20222026
most citedA Robust Document Image Watermarking Scheme using Deep Neural Network

4 citations · 9 across the 17 of their papers we have counts for

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6 papers · 1 filter

cs.CV2022

Learning to mask: Towards generalized face forgery detection

Jianwei Fei, Yunshu Dai, Huaming Wang +1

Generalizability to unseen forgery types is crucial for face forgery detectors. Recent works have made significant progress in terms of generalization by synthetic forgery data aug…

cs.CV2022

General GAN-generated image detection by data augmentation in fingerprint domain

Huaming Wang, Jianwei Fei, Yunshu Dai +2

In this work, we investigate improving the generalizability of GAN-generated image detectors by performing data augmentation in the fingerprint domain. Specifically, we first separ…

cs.CV2022★ 2 cited

Learning Second Order Local Anomaly for General Face Forgery Detection

Jianwei Fei, Yunshu Dai, Peipeng Yu +3

In this work, we propose a novel method to improve the generalization ability of CNN-based face forgery detectors. Our method considers the feature anomalies of forged faces caused…

cs.CV2022★ 1 cited

Supervised GAN Watermarking for Intellectual Property Protection

Jianwei Fei, Zhihua Xia, Benedetta Tondi +1

We propose a watermarking method for protecting the Intellectual Property (IP) of Generative Adversarial Networks (GANs). The aim is to watermark the GAN model so that any image ge…

cs.CV2022★ 1 cited

A Screen-Shooting Resilient Document Image Watermarking Scheme using Deep Neural Network

Sulong Ge, Zhihua Xia, Yao Tong +2

With the advent of the screen-reading era, the confidential documents displayed on the screen can be easily captured by a camera without leaving any traces. Thus, this paper propos…

cs.CV2022★ 4 cited

A Robust Document Image Watermarking Scheme using Deep Neural Network

Sulong Ge, Zhihua Xia, Jianwei Fei +2

Watermarking is an important copyright protection technology which generally embeds the identity information into the carrier imperceptibly. Then the identity can be extracted to p…