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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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8 papers · 1 filter

cs.CV2026

An Efficient and Effective Watermarking Scheme for the Protection of the Intellectual Property Rights of Video Generative Models

Wenhong Huang, Jianwei Fei, Benedetta Tondi +2

The rapid development of video generative models (VGMs) has enabled the generation of highly realistic synthetic videos, raising concerns about the intellectual property rights (IP…

cs.CV2026

Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models

Jianwei Fei, Yunshu Dai, Zhihua Xia +4

Model fingerprinting, embedding user-specific identifiers (fingerprints) into generated outputs, has recently emerged as a popular solution to protect the intellectual property rig…

cs.CV2026

PGC: Peak-Guided Calibration for Generalizable AI-Generated Image Detection

Xiaoyu Zhou, Jianwei Fei, Peipeng Yu +3

The rapid evolution of generative AI, from GANs to modern diffusion models, has resulted in increasingly subtle discriminative clues. These fine-grained signals are often overshado…

cs.CV2026

ID-Eraser: Proactive Defense Against Face Swapping via Identity Perturbation

Junyan Luo, Peipeng Yu, Jianwei Fei +4

Deepfake technologies have rapidly advanced with modern generative AI, and face swapping in particular poses serious threats to privacy and digital security. Existing proactive def…

cs.CR2026

Dual-Guard: Dual-Channel Latent Watermarking for Provenance and Tamper Localization in Diffusion Images

JinFeng Xie, Chengfu Ou, Peipeng Yu +5

The rapid adoption of diffusion-based generative models has intensified concerns over the attribution and integrity of AI-generated content (AIGC). Existing single-domain watermark…

cs.CV2026

NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild

Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya +51

This paper presents an overview of the NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild, held in conjunction with the NTIRE workshop at CVPR 2026. The goal o…

cs.CV2026

FeatDistill: A Feature Distillation Enhanced Multi-Expert Ensemble Framework for Robust AI-generated Image Detection

Zhilin Tu, Kemou Li, Fengpeng Li +3

The rapid iteration and widespread dissemination of deepfake technology have posed severe challenges to information security, making robust and generalizable detection of AI-genera…

cs.CV2026

High-Fidelity Face Content Recovery via Tamper-Resilient Versatile Watermarking

Peipeng Yu, Jinfeng Xie, Chengfu Ou +5

The proliferation of AIGC-driven face manipulation and deepfakes poses severe threats to media provenance, integrity, and copyright protection. Existing versatile watermarking syst…