collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2025

Boosting Active Defense Persistence: A Two-Stage Defense Framework Combining Interruption and Poisoning Against Deepfake

Hongrui Zheng, Yuezun Li, Liejun Wang +2

Active defense strategies have been developed to counter the threat of deepfake technology. However, a primary challenge is their lack of persistence, as their effectiveness is oft…

cs.CV2024

DPL: Cross-quality DeepFake Detection via Dual Progressive Learning

Dongliang Zhang, Yunfei Li, Jiaran Zhou +1

Real-world DeepFake videos often undergo various compression operations, resulting in a range of video qualities. These varying qualities diversify the pattern of forgery traces, s…

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

MPT: A Large-scale Multi-Phytoplankton Tracking Benchmark

Yang Yu, Yuezun Li, Xin Sun +1

Phytoplankton are a crucial component of aquatic ecosystems, and effective monitoring of them can provide valuable insights into ocean environments and ecosystem changes. Tradition…

cs.CV2024

Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection

Yuzhen Lin, Wentang Song, Bin Li +4

Previous studies in deepfake detection have shown promising results when testing face forgeries from the same dataset as the training. However, the problem remains challenging when…

cs.CV2024

UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching

Qingxuan Lv, Junyu Dong, Yuezun Li +4

Despite recent advances in stereo matching, the extension to intricate underwater settings remains unexplored, primarily owing to: 1) the reduced visibility, low contrast, and othe…