Luqmani Burhanuddin (8 results)

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  • Language: English

    Published by Notion Press Media Pvt Ltd, 2022

    9798888330029

    • Softcover

    Seller: California Books, Miami, FL, U.S.A.California Books

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    Language: English

    Published by Notion Press Media Pvt Ltd, 2022

    9798888330029

    • Softcover

    Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA

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  • Language: English

    Published by Notion Press Media Pvt Ltd, 2022

    9798888330029

    • Softcover

    Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections

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    Language: English

    Published by Notion Press, 2022

    9798888330029

    • Softcover

    Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK

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  • Language: English

    Published by Notion Press, 2022

    9798888330029

    • Softcover
    • Print on Demand

    Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Language: English

    Published by Notion Press, 2022

    9798888330029

    • Softcover
    • Print on Demand

    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

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    PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Language: English

    Published by Notion Press, 2022

    9798888330029

    • Softcover
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    Seller: moluna, Greven, Germanymoluna

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

  • Language: English

    Published by Notion Press, 2022

    9798888330029

    • Softcover
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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Video captioning, the task of describing the content of a video in natural language, is a populartask both in computer vision and natural language processing. In the beginning, researchers try to generate sentence-level captions for short video clips (Venugopalan et al., 2015). Krishna et al. (2017) propose the task of dense video captioning. The system needs to detect event segments first and then generate captions. Park et al. (2019) propose the task of video paragraph captioning: they use ground-truth event segments and focus on generating coherent paragraphs. Lei et al. (2020) follow the task setting and propose a recurrent transformer model that can generate more coherent and less repetitive paragraphs. Considering the groundtruth event segments are often unavailable in practice, our goal is to generate paragraph captions without ground-truth segments.…