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Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation


Sep 03, 2021
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

* Submit to IEEE Transactions on Medical Imaging (TMI); Under Review 

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Explainable Deep Few-shot Anomaly Detection with Deviation Networks


Aug 01, 2021
Guansong Pang, Choubo Ding, Chunhua Shen, Anton van den Hengel

* 16 pages, 8 figures, 5 tables 

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DRAM Failure Prediction in AIOps: Empirical Evaluation, Challenges and Opportunities


May 04, 2021
Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang

* 11 pages 

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DRAM Failure Prediction in AIOps: EmpiricalEvaluation, Challenges and Opportunities


Apr 30, 2021
Zhiyue Wu, Hongzuo Xu, Guansong Pang, Fengyuan Yu, Yijie Wang, Songlei Jian, Yongjun Wang


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Homophily Outlier Detection in Non-IID Categorical Data


Mar 21, 2021
Guansong Pang, Longbing Cao, Ling Chen

* To appear in Data Ming and Knowledge Discovery Journal 

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Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images


Mar 05, 2021
Yu Tian, Guansong Pang, Fengbei Liu, Yuanhong chen, Seon Ho Shin, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro

* 10 pages; Under Review 

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Unsupervised Anomaly Detection and Localisation with Multi-scale Interpolated Gaussian Descriptors


Jan 25, 2021
Yuanhong Chen, Yu Tian, Guansong Pang, Gustavo Carneiro


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Weakly-supervised Video Anomaly Detection with Contrastive Learning of Long and Short-range Temporal Features


Jan 25, 2021
Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro


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Deep Multi-task Learning for Depression Detection and Prediction in Longitudinal Data


Dec 05, 2020
Guansong Pang, Ngoc Thien Anh Pham, Emma Baker, Rebecca Bentley, Anton van den Hengel

* 9 pages, 3 figures, 3 tables 

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Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss


Sep 22, 2020
Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu


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Deep Reinforcement Learning for Unknown Anomaly Detection


Sep 15, 2020
Guansong Pang, Anton van den Hengel, Chunhua Shen, Longbing Cao

* 18 pages, 5 figures, 5 tables 

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Deep Learning for Anomaly Detection: A Review


Jul 08, 2020
Guansong Pang, Chunhua Shen, Longbing Cao, Anton van den Hengel

* Survey paper, 36 pages, 180 references, 2 figures, 3 tables 

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Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection


Mar 15, 2020
Guansong Pang, Cheng Yan, Chunhua Shen, Anton van den Hengel, Xiao Bai

* Accepted to Proc. IEEE Conf. Computer Vision and Pattern Recognition 2020 

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Unsupervised Representation Learning by Predicting Random Distances


Dec 22, 2019
Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma


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Unified Multifaceted Feature Learning for Person Re-Identification


Nov 21, 2019
Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen


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Deep Anomaly Detection with Deviation Networks


Nov 19, 2019
Guansong Pang, Chunhua Shen, Anton van den Hengel

* 10 Pages, Published in KDD19 

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Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning


Oct 30, 2019
Guansong Pang, Anton van den Hengel, Chunhua Shen


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Learning Representations of Ultrahigh-dimensional Data for Random Distance-based Outlier Detection


Jun 13, 2018
Guansong Pang, Longbing Cao, Ling Chen, Huan Liu

* 10 pages, 4 figures, 3 tables. To appear in the proceedings of KDD18, Long presentation (oral) 

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