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        AUTHOR = "Masuakwa, R. and Yun, S.G. and Yamaguchi, Y. and Imani, M.",
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@article{bb202103,
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@article{bb202104,
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@article{bb202105,
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@article{bb202106,
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        TITLE = "Dual Distillation Fusion for Weakly Supervised Anomaly Detection in
Surveillance Videos",
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        VOLUME = "35",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f729.html#TT197478"}

@article{bb202107,
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        PAGES = "9161-9174",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f729.html#TT197479"}

@article{bb202108,
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        TITLE = "Class-incremental learning network for real-time anomaly recognition
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@article{bb202109,
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        TITLE = "CA-VAD: Caption Aware Video Anomaly Detection in surveillance videos",
        JOURNAL = JVCIR,
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        YEAR = "2025",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f729.html#TT197481"}

@article{bb202110,
        AUTHOR = "Xiao, C.Z. and Xiao, Y. and Zhou, J.T.Y. and Fang, Z.W.",
        TITLE = "Multilingual-Prompt-Guided Directional Feature Learning for Weakly
Supervised Video Anomaly Detection",
        JOURNAL = PAMI,
        VOLUME = "47",
        YEAR = "2025",
        NUMBER = "11",
        MONTH = "November",
        PAGES = "9994-10011",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f729.html#TT197482"}

@article{bb202111,
        AUTHOR = "Artola, A. and Kolodziej, Y. and Morel, J.M. and Ehret, T.",
        TITLE = "Adaptive Unsupervised Anomaly Detection in Variable Environment by
Online Expectation Maximization",
        JOURNAL = SIIMS,
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        PAGES = "1601-1631",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f729.html#TT197483"}

@article{bb202112,
        AUTHOR = "Ahn, D.H. and Jo, Y.J. and Kim, D.B. and Nam, G.P. and Han, J.H. and Kim, H.",
        TITLE = "Where and What: Contextual Dynamics-Aware Anomaly Detection in
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f729.html#TT197484"}

@article{bb202113,
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        TITLE = "Anomaly-Led Prompting Learning Caption Generating Model and Benchmark",
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        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f729.html#TT197485"}

@article{bb202114,
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        TITLE = "Frequency-guided multi-level human action anomaly detection with
normalizing flows",
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@article{bb202115,
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        TITLE = "NFlowAD: A normalizing flow model for anomaly detection in human
motion animations",
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@article{bb202116,
        AUTHOR = "Palepally, S.H. and Perumalla, S. and Nelikanti, A.",
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@article{bb202117,
        AUTHOR = "Li, N. and Wang, D. and Nie, X.",
        TITLE = "OSAD: Open-Set Supervised Anomaly Detection in Surveillance Videos
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        JOURNAL = CirSysVideo,
        VOLUME = "36",
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@article{bb202118,
        AUTHOR = "Jiang, Y. and Huai, L. and Liu, Y. and Jiang, X.Q.",
        TITLE = "From Abstract Events to Grounded Cues:
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        AUTHOR = "Banditakkarakul, N. and Xu, M. and Chen, B. and Asthana, A. and Zheng, L. and Gould, S.",
        TITLE = "Context-Dependent Anomaly Action Recognition",
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@inproceedings{bb202121,
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@inproceedings{bb202122,
        AUTHOR = "Lai, Y.C. and Sonogashira, M. and Phueaksri, I. and Kawanishi, Y.",
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@inproceedings{bb202130,
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@inproceedings{bb202132,
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@inproceedings{bb202156,
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        TITLE = "DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly
Detection Network",
        BOOKTITLE = WACV23,
        YEAR = "2023",
        PAGES = "5530-5539",
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@inproceedings{bb202157,
        AUTHOR = "Jezequel, L. and Vu, N.S. and Beaudet, J. and Histace, A.",
        TITLE = "Anomaly Detection via Learnable Pretext Task",
        BOOKTITLE = "ICPR22",
        YEAR = "2022",
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@inproceedings{bb202158,
        AUTHOR = "Jezequel, L. and Vu, N.S. and Beaudet, J. and Histace, A.",
        TITLE = "Semi-Supervised Anomaly Detection with Contrastive Regularization",
        BOOKTITLE = "ICPR22",
        YEAR = "2022",
        PAGES = "2664-2671",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f729.html#TT197530"}

@inproceedings{bb202159,
        AUTHOR = "Pillai, G.V. and Verma, A. and Sen, D.",
        TITLE = "Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly
Detection in Videos",
        BOOKTITLE = ICIP22,
        YEAR = "2022",
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@inproceedings{bb202160,
        AUTHOR = "Moriwaki, K. and Nakano, G. and Inoshita, T.",
        TITLE = "The BRIO-TA Dataset: Understanding Anomalous Assembly Process in
Manufacturing",
        BOOKTITLE = ICIP22,
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@inproceedings{bb202161,
        AUTHOR = "Liu, H.B. and Li, K. and Li, X. and Zhang, Y.L.",
        TITLE = "Unsupervised Anomaly Detection with Self-Training and Knowledge
Distillation",
        BOOKTITLE = ICIP22,
        YEAR = "2022",
        PAGES = "2102-2106",
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@inproceedings{bb202162,
        AUTHOR = "Yang, Z.W. and Wu, P. and Liu, J. and Liu, X.T.",
        TITLE = "Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly
Detection",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "IV:404-421",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f729.html#TT197534"}

@inproceedings{bb202163,
        AUTHOR = "Grcic, M. and Bevandic, P. and Segvic, S.",
        TITLE = "DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXV:500-517",
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@inproceedings{bb202164,
        AUTHOR = "Lin, W.Y. and Liu, Z.H. and Liu, S.Y.",
        TITLE = "Locally Varying Distance Transform for Unsupervised Visual Anomaly
Detection",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXX:354-371",
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@inproceedings{bb202165,
        AUTHOR = "Zou, Y. and Jeong, J. and Pemula, L. and Zhang, D.Q. and Dabeer, O.",
        TITLE = "SPot-the-Difference Self-supervised Pre-training for Anomaly Detection
and Segmentation",
        BOOKTITLE = ECCV22,
        YEAR = "2022",
        PAGES = "XXX:392-408",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f729.html#TT197537"}

@inproceedings{bb202166,
        AUTHOR = "Schneider, S. and Antensteiner, D. and Soukup, D. and Scheutz, M.",
        TITLE = "Autoencoders: A Comparative Analysis in the Realm of Anomaly Detection",
        BOOKTITLE = WiCV22,
        YEAR = "2022",
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@inproceedings{bb202167,
        AUTHOR = "Almohsen, R. and Keaton, M.R. and Adjeroh, D.A. and Doretto, G.",
        TITLE = "Generative Probabilistic Novelty Detection with Isometric Adversarial
Autoencoders",
        BOOKTITLE = WiCV22,
        YEAR = "2022",
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@inproceedings{bb202168,
        AUTHOR = "Schneider, P. and Rambach, J. and Mirbach, B. and Stricker, D.",
        TITLE = "Unsupervised Anomaly Detection from Time-of-Flight Depth Images",
        BOOKTITLE = PBVS22,
        YEAR = "2022",
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@inproceedings{bb202169,
        AUTHOR = "Sapkota, H. and Yu, Q.",
        TITLE = "Bayesian Nonparametric Submodular Video Partition for Robust Anomaly
Detection",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
        PAGES = "3202-3211",
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@inproceedings{bb202170,
        AUTHOR = "Roth, K. and Pemula, L. and Zepeda, J. and Scholkopf, B. and Brox, T. and Gehler, P.",
        TITLE = "Towards Total Recall in Industrial Anomaly Detection",
        BOOKTITLE = CVPR22,
        YEAR = "2022",
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@inproceedings{bb202171,
        AUTHOR = "Ye, K. and Kovashka, A.",
        TITLE = "Weakly-Supervised Action Detection Guided by Audio Narration",
        BOOKTITLE = Ego4D-EPIC22,
        YEAR = "2022",
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@inproceedings{bb202172,
        AUTHOR = "Guo, M.Q. and Hwa, R. and Kovashka, A.",
        TITLE = "Detecting Persuasive Atypicality by Modeling Contextual Compatibility",
        BOOKTITLE = ICCV21,
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@inproceedings{bb202173,
        AUTHOR = "Dueholm, J.V. and Nasrollahi, K. and Moeslund, T.B.",
        TITLE = "Object-Centric Anomaly Detection Using Memory Augmentation",
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        YEAR = "2021",
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@inproceedings{bb202174,
        AUTHOR = "Zaheer, M.Z. and Mahmood, A. and Khan, M.H. and Astrid, M. and Lee, S.I.",
        TITLE = "An Anomaly Detection System via Moving Surveillance Robots with Human
Collaboration",
        BOOKTITLE = CVinHRC21,
        YEAR = "2021",
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@inproceedings{bb202175,
        AUTHOR = "Jain, Y. and Sharma, A.K. and Velmurugan, R. and Banerjee, B.",
        TITLE = "PoseCVAE: Anomalous Human Activity Detection",
        BOOKTITLE = ICPR21,
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@inproceedings{bb202176,
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        TITLE = "Detecting Anomalies from Video-Sequences: a Novel Descriptor",
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@inproceedings{bb202177,
        AUTHOR = "Leveni, F. and Magri, L. and Boracchi, G. and Alippi, C.",
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@inproceedings{bb202178,
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Applications",
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@inproceedings{bb202179,
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Abnormal Event Detection",
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@inproceedings{bb202180,
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        TITLE = "A Day on Campus: An Anomaly Detection Dataset for Events in a Single
Camera",
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@inproceedings{bb202181,
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        TITLE = "Patch SVDD: Patch-level Svdd for Anomaly Detection and Segmentation",
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@inproceedings{bb202182,
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@inproceedings{bb202183,
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@inproceedings{bb202184,
        AUTHOR = "Roady, R. and Hayes, T.L. and Vaidya, H. and Kanan, C.",
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        BOOKTITLE = CLVision20,
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@inproceedings{bb202185,
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@inproceedings{bb202186,
        AUTHOR = "Markovitz, A. and Sharir, G. and Friedman, I. and Zelnik Manor, L. and Avidan, S.",
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@inproceedings{bb202187,
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        TITLE = "Diagnosing Rarity in Human-object Interaction Detection",
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@inproceedings{bb202188,
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detection",
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@inproceedings{bb202189,
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@inproceedings{bb202190,
        AUTHOR = "Ionescu, R.T. and Khan, F.S. and Georgescu, M.I. and Shao, L.",
        TITLE = "Object-Centric Auto-Encoders and Dummy Anomalies for Abnormal Event
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@inproceedings{bb202191,
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@inproceedings{bb202192,
        AUTHOR = "Shadaydeh, M. and Denzler, J. and Garcia, Y.G. and Mahecha, M.",
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Environmental Systems",
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@inproceedings{bb202193,
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@inproceedings{bb202194,
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@inproceedings{bb202195,
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@inproceedings{bb202196,
        AUTHOR = "Yan, M. and Jiang, X. and Yuan, J.",
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Temporal Irregularities in Videos",
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@inproceedings{bb202197,
        AUTHOR = "Jin, D. and Zhu, S. and Wu, S. and Jing, X.",
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@inproceedings{bb202198,
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@inproceedings{bb202199,
        AUTHOR = "Wang, C. and Zhang, Y.M. and Liu, C.L.",
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