Search Results for author: Youjian Zhao

Found 6 papers, 2 papers with code

Detecting Deepfake by Creating Spatio-Temporal Regularity Disruption

no code implementations21 Jul 2022 Jiazhi Guan, Hang Zhou, Mingming Gong, Youjian Zhao, Errui Ding, Jingdong Wang

Specifically, by carefully examining the spatial and temporal properties, we propose to disrupt a real video through a Pseudo-fake Generator and create a wide range of pseudo-fake videos for training.

DeepFake Detection Face Swapping

Delving into Sequential Patches for Deepfake Detection

no code implementations6 Jul 2022 Jiazhi Guan, Hang Zhou, Zhibin Hong, Errui Ding, Jingdong Wang, Chengbin Quan, Youjian Zhao

Recent advances in face forgery techniques produce nearly visually untraceable deepfake videos, which could be leveraged with malicious intentions.

DeepFake Detection Face Swapping

CORE: Consistent Representation Learning for Face Forgery Detection

1 code implementation6 Jun 2022 Yunsheng Ni, Depu Meng, Changqian Yu, Chengbin Quan, Dongchun Ren, Youjian Zhao

Specifically, we first capture the different representations with different augmentations, then regularize the cosine distance of the representations to enhance the consistency.

Representation Learning

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

8 code implementations12 Feb 2018 Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, Honglin Qiao

To ensure undisrupted business, large Internet companies need to closely monitor various KPIs (e. g., Page Views, number of online users, and number of orders) of its Web applications, to accurately detect anomalies and trigger timely troubleshooting/mitigation.

Unsupervised Anomaly Detection

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