An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection

1 code implementation • 19 Aug 2022 • Qiucheng Miao, Chuanfu Xu, Jun Zhan, Dong zhu, Chengkun Wu

Anomaly detection of multivariate time series is meaningful for system behavior monitoring.

Anomaly Detection Representation Learning +2

Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement

no code implementations • CVPR 2022 • Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chuanfu Xu, Chengkun Wu

With this property, we propose Localization based Reconstruction (LBR) as a strong UVAD baseline and a solid foundation of our solution.

Anomaly Detection Video Anomaly Detection

Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events

1 code implementation • 27 Aug 2020 • Guang Yu, Siqi Wang, Zhiping Cai, En Zhu, Chuanfu Xu, Jianping Yin, Marius Kloft

To build such a visual cloze test, a certain patch of STC is erased to yield an incomplete event (IE).

Anomaly Detection Cloze Test +2

Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network

1 code implementation • NeurIPS 2019 • Siqi Wang, Yijie Zeng, Xinwang Liu, En Zhu, Jianping Yin, Chuanfu Xu, Marius Kloft

Despite the wide success of deep neural networks (DNN), little progress has been made on end-to-end unsupervised outlier detection (UOD) from high dimensional data like raw images.

Outlier Detection Representation Learning +1

Characterizing Scalability of Sparse Matrix-Vector Multiplications on Phytium FT-2000+ Many-cores

no code implementations • 20 Nov 2019 • Donglin Chen, Jianbin Fang, Chuanfu Xu, Shizhao Chen, Zheng Wang

Understanding the scalability of parallel programs is crucial for software optimization and hardware architecture design.