Search Results for author: Yingxin Lai

Found 5 papers, 3 papers with code

Selective Domain-Invariant Feature for Generalizable Deepfake Detection

no code implementations19 Mar 2024 Yingxin Lai, Guoqing Yang Yifan He, Zhiming Luo, Shaozi Li

To solve this problem, we proposed a novel framework Selective Domain-Invariant Feature (SDIF), which reduces the sensitivity to face forgery by fusing content features and styles.

DeepFake Detection Face Swapping

A Multilevel Guidance-Exploration Network and Behavior-Scene Matching Method for Human Behavior Anomaly Detection

1 code implementation7 Dec 2023 Guoqing Yang, Zhiming Luo, Jianzhe Gao, Yingxin Lai, Kun Yang, Yifan He, Shaozi Li

Human behavior anomaly detection aims to identify unusual human actions, playing a crucial role in intelligent surveillance and other areas.

Anomaly Detection

Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization

1 code implementation29 Jun 2023 Yingxin Lai, Zhiming Luo, Zitong Yu

The rapid advancements in computer vision have stimulated remarkable progress in face forgery techniques, capturing the dedicated attention of researchers committed to detecting forgeries and precisely localizing manipulated areas.

DeepFake Detection Face Swapping

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