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20222026
most citedMulti-domain Learning for Updating Face Anti-spoofing Models

5 citations · 11 across the 10 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

FusionAgent: A Multimodal Agent with Dynamic Model Selection for Human Recognition

Jie Zhu, Xiao Guo, Yiyang Su +2

Model fusion is a key strategy for robust recognition in unconstrained scenarios, as different models provide complementary strengths. This is especially important for whole-body h…

cs.CV2026

On the Holistic Approach for Detecting Human Image Forgery

Xiao Guo, Jie Zhu, Anil Jain +1

The rapid advancement of AI-generated content (AIGC) has escalated the threat of deepfakes, from facial manipulations to the synthesis of entire photorealistic human bodies. Howeve…

cs.CV2025

TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detection

Xinqi Xiong, Prakrut Patel, Qingyuan Fan +6

The rapid advancement of talking-head deepfake generation fueled by advanced generative models has elevated the realism of synthetic videos to a level that poses substantial risks…

cs.CV2025

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning

Ajian Liu, Haocheng Yuan, Xiao Guo +13

PAD and FFD are proposed to protect face data from physical media-based Presentation Attacks and digital editing-based DeepFakes, respectively. However, isolated training of these…

cs.CV2025

Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector

Xiao Guo, Xiufeng Song, Yue Zhang +2

Deepfake detection is a long-established research topic vital for mitigating the spread of malicious misinformation. Unlike prior methods that provide either binary classification…

cs.CV2024★ 1 cited

Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization

Xiao Guo, Xiaohong Liu, Iacopo Masi +1

Differences in forgery attributes of images generated in CNN-synthesized and image-editing domains are large, and such differences make a unified image forgery detection and locali…

cs.CV2024★ 1 cited

On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection

Xiufeng Song, Xiao Guo, Jiache Zhang +5

Large numbers of synthesized videos from diffusion models pose threats to information security and authenticity, leading to an increasing demand for generated content detection. Ho…

cs.CV2023★ 4 cited

Hierarchical Fine-Grained Image Forgery Detection and Localization

Xiao Guo, Xiaohong Liu, Zhiyuan Ren +3

Differences in forgery attributes of images generated in CNN-synthesized and image-editing domains are large, and such differences make a unified image forgery detection and locali…

cs.CV2022★ 5 cited

Multi-domain Learning for Updating Face Anti-spoofing Models

Xiao Guo, Yaojie Liu, Anil Jain +1

In this work, we study multi-domain learning for face anti-spoofing(MD-FAS), where a pre-trained FAS model needs to be updated to perform equally well on both source and target dom…