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Issue Date
Title
Author(s)
2021
Deep learning for anomaly detection: challenges, methods, and opportunities
Pang, G.
;
Cao, L.
;
Aggarwal, C.
;
ACM International Conference on Web Search and Data Mining (WSDM) (8 Mar 2021 - 12 Mar 2021 : virtual online)
2022
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes
Tian, Y.
;
Liu, Y.
;
Pang, G.
;
Liu, F.
;
Chen, Y.
;
Carneiro, G.
;
Avidan, S.
;
Brostow, G.
;
Cisse, M.
;
Farinella, G.M.
;
Hassner, T.
;
European Conference on Computer Vision (ECCV) (23 Oct 2022 - 27 Oct 2022 : Tel Aviv, Israel)
2022
Deep graph-level anomaly detection by glocal knowledge distillation
Ma, R.
;
Pang, G.
;
Chen, L.
;
Van Den Hengel, A.
;
ACM International Conference on Web Search and Data Mining (21 Feb 2022 - 25 Feb 2022 : Tempe, AZ, USA (Virtual online))
2020
Self-trained deep ordinal regression for end-to-end video anomaly detection
Pang, G.
;
Yan, C.
;
Shen, C.
;
van den Hengel, A.
;
Bai, X.
;
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (14 Jun 2020 - 19 Jun 2020 : Virtual online)
2020
Heterogeneous univariate outlier ensembles in multidimensional data
Pang, G.
;
Cao, L.
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Author
2
Cao, L.
1
ACM International Conference on W...
1
ACM International Conference on W...
1
Aggarwal, C.
1
Avidan, S.
1
Bai, X.
1
Brostow, G.
1
Carneiro, G.
1
Chen, L.
1
Chen, Y.
.
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Subject
1
anomaly detection; deep learning;...
1
Graph-level anomaly detection; Gr...
1
Outlier detection; outlier ensemb...
Date issued
2
2022
1
2021
2
2020