most citedFreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge

5 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2025

Semantic Relation-Enhanced CLIP Adapter for Domain Adaptive Zero-Shot Learning

Jiaao Yu, Mingjie Han, Jinkun Jiang +3

The high cost of data annotation has spurred research on training deep learning models in data-limited scenarios. Existing paradigms, however, fail to balance cross-domain transfer…

cs.CR2025

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted

Shuaiwei Yuan, Junyu Dong, Yuezun Li

With the advancement of AI generative techniques, Deepfake faces have become incredibly realistic and nearly indistinguishable to the human eye. To counter this, Deepfake detectors…

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

HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning

Xudong Wang, Jiaran Zhou, Huiyu Zhou +2

Image manipulation detection is to identify the authenticity of each pixel in images. One typical approach to uncover manipulation traces is to model image correlations. The previo…

cs.CV2024

FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection

Yangxiang Zhang, Yuezun Li, Ao Luo +2

With the rise in popularity of portable devices, the spread of falsified media on social platforms has become rampant. This necessitates the timely identification of authentic cont…

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

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…