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@inproceedings{bb201656,
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@inproceedings{bb201657,
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        PAGES = "1-6",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733cc1.html#TT197027"}

@inproceedings{bb201658,
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@inproceedings{bb201659,
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@inproceedings{bb201660,
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@inproceedings{bb201661,
        AUTHOR = "Fotia, L. and Percannella, G. and Saggese, A. and Vento, M.",
        TITLE = "Highly Crowd Detection and Counting Based on Curriculum Learning",
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@inproceedings{bb201662,
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        TITLE = "Blues: Before-relu-estimates Bayesian Inference for Crowd Counting",
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@inproceedings{bb201663,
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Case Study of Homeless Encampments",
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@inproceedings{bb201664,
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@inproceedings{bb201665,
        AUTHOR = "Liang, D.K. and Xie, J.H. and Zou, Z.K. and Ye, X.Q. and Xu, W. and Bai, X.",
        TITLE = "CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model",
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        PAGES = "2893-2903",
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@inproceedings{bb201666,
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for Semi-Supervised Counting",
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@inproceedings{bb201667,
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@inproceedings{bb201668,
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        TITLE = "AECNet: Attentive EfficientNet For Crowd Counting",
        BOOKTITLE = FG4COVID19-21,
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        PAGES = "1-8",
        BIBSOURCE = "http://www.visionbib.com/bibliography/motion-f733cc1.html#TT197038"}

@inproceedings{bb201669,
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        TITLE = "Dynamic Mixture of Counter Network for Location-Agnostic Crowd
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@inproceedings{bb201670,
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@inproceedings{bb201671,
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@inproceedings{bb201672,
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@inproceedings{bb201684,
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@inproceedings{bb201685,
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@inproceedings{bb201696,
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