most citedFreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge

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

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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.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…