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@inproceedings{bb219704,
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Your Way",
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@article{bb219707,
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@article{bb219710,
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Skeleton-Based Action Recognition in Retail Environments",
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        PAGES = "1986-1996",
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@inproceedings{bb219721,
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@inproceedings{bb219722,
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        TITLE = "Self-supervised Human-Object Interaction of Complex Scenes with
Context-aware Mixing: Towards In-store Consumer Behavior Analysis",
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@inproceedings{bb219726,
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@inproceedings{bb219730,
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Scalable Pipelines",
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Predict Customers' Behaviour",
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@inproceedings{bb219762,
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        TITLE = "Application Research of Interactive Packaging Design Based on
Computer Graphics Technology and GIS Model",
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@inproceedings{bb219763,
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        TITLE = "A Mask Detection Method for Shoppers Under the Threat of COVID-19
Coronavirus",
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@inproceedings{bb219764,
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        TITLE = "Bias-based Universal Adversarial Patch Attack for Automatic Check-out",
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An Online Shopping Website",
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Classifiers",
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        TITLE = "The Vending Shopper Science Lab: Deep Learning for Consumer Research",
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        TITLE = "Semantic 3D Object Maps for Everyday Robotic Retail Inspection",
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        TITLE = "A Large Scale Trajectory Dataset for Shopper Behaviour Understanding",
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A Case Study on Lazada Malaysia",
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