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20182026
most citedExposing DeepFake Videos By Detecting Face Warping Artifacts

684 citations · 1.2k across the 33 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.CV2024

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection

Delong Zhu, Yuezun Li, Baoyuan Wu +3

Face-swapping DeepFakes have become an escalating societal concern, attracting increasing attention in recent years. To counter this, we investigate a new proactive defense framewo…

cs.CV2024

Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection

Xinjie Cui, Yuezun Li, Delong Zhu +3

We describe Forensics Adapter, an adapter network designed to transform CLIP into an effective and generalizable face forgery detector. Although CLIP is highly versatile, adapting…

cs.CV2024

Active Fake: DeepFake Camouflage

Pu Sun, Honggang Qi, Yuezun Li

DeepFake technology has gained significant attention due to its ability to manipulate facial attributes with high realism, raising serious societal concerns. Face-Swap DeepFake is…

cs.CV2024

PhyTracker: An Online Tracker for Phytoplankton

Yang Yu, Qingxuan Lv, Yuezun Li +2

Phytoplankton, a crucial component of aquatic ecosystems, requires efficient monitoring to understand marine ecological processes and environmental conditions. Traditional phytopla…

cs.CV2024

High-order Neighborhoods Know More: HyperGraph Learning Meets Source-free Unsupervised Domain Adaptation

Jinkun Jiang, Qingxuan Lv, Yuezun Li +4

Source-free Unsupervised Domain Adaptation (SFDA) aims to classify target samples by only accessing a pre-trained source model and unlabelled target samples. Since no source data i…

cs.CV2024

Texture, Shape, Order, and Relation Matter: A New Transformer Design for Sequential DeepFake Detection

Yunfei Li, Yuezun Li, Baoyuan Wu +3

Sequential DeepFake detection is an emerging task that predicts the manipulation sequence in order. Existing methods typically formulate it as an image-to-sequence problem, employi…

cs.CV2024★ 5 cited

FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge

Hanzhe Li, Jiaran Zhou, Yuezun Li +3

Generating synthetic fake faces, known as pseudo-fake faces, is an effective way to improve the generalization of DeepFake detection. Existing methods typically generate these face…

cs.CV2024

Mumpy: Multilateral Temporal-view Pyramid Transformer for Video Inpainting Detection

Ying Zhang, Yuezun Li, Bo Peng +3

The task of video inpainting detection is to expose the pixel-level inpainted regions within a video sequence. Existing methods usually focus on leveraging spatial and temporal inc…