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cinetransfer/index.html

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<source src="https://virtualfilmstudio.github.io/src_cinetransfer/videos/lalaland-dance_4_new.mp4" type="video/mp4" />
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cvpr20sceneseg/img/cvpr20.png

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cvpr20sceneseg/img/demo.png

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cvpr20sceneseg/img/humanint.png

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cvpr20sceneseg/index.html

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<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
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<!-- Replace the content tag with appropriate information -->
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<meta name="description" content="DESCRIPTION META TAG">
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<meta property="og:title" content="SOCIAL MEDIA TITLE TAG"/>
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<meta property="og:description" content="SOCIAL MEDIA DESCRIPTION TAG TAG"/>
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<meta property="og:url" content="URL OF THE WEBSITE"/>
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<!-- Path to banner imge, should be in the path listed below. Optimal dimenssions are 1200X630-->
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<meta property="og:imge" content="static/imge/your_banner_imge.png" />
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<meta property="og:imge:width" content="1200"/>
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<meta property="og:imge:height" content="630"/>
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<meta name="twitter:title" content="TWITTER BANNER TITLE META TAG">
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<meta name="twitter:description" content="TWITTER BANNER DESCRIPTION META TAG">
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<!-- Path to banner imge, should be in the path listed below. Optimal dimenssions are 1200X600-->
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<meta name="twitter:imge" content="static/imges/your_twitter_banner_imge.png">
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<meta name="twitter:card" content="summary_large_imge">
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<!-- Keywords for your paper to be indexed by-->
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<meta name="keywords" content="KEYWORDS SHOULD BE PLACED HERE">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>A Local-to-Global Approach to Multi-modal Movie Scene Segmentation</title>
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<link rel="icon" type="imge/x-icon" href="/img/favicon.ico">
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<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
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rel="stylesheet">
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<link rel="stylesheet" href="static/css/bulma.min.css">
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<link rel="stylesheet" href="static/css/bulma-carousel.min.css">
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<link rel="stylesheet" href="static/css/bulma-slider.min.css">
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<link rel="stylesheet" href="static/css/fontawesome.all.min.css">
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<link rel="stylesheet"
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href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
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<link rel="stylesheet" href="static/css/index.css">
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<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
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<script src="https://documentcloud.adobe.com/view-sdk/main.js"></script>
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<script defer src="static/js/fontawesome.all.min.js"></script>
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<script src="static/js/bulma-carousel.min.js"></script>
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<script src="static/js/bulma-slider.min.js"></script>
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<script src="static/js/index.js"></script>
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</head>
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<body>
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<section class="hero">
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<div class="hero-body">
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<div class="container is-max-desktop">
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<div class="columns is-centered">
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<div class="column has-text-centered">
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<h1 class="title is-1 publication-title">A Local-to-Global Approach to Multi-modal Movie Scene Segmentation</h1>
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<div class="is-size-5 publication-authors">
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<a href="https://anyirao.com/">Anyi Rao</a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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<a href="https://eveneveno.github.io/lnxu/">Linning Xu</a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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<a href="http://www.xiongyu.me/home/">Yu Xiong</a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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<a href="http://mmlab.ie.cuhk.edu.hk">Guodong Xu</a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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<a href="http://qqhuang.cn/">Qingqiu Huang</a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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<a href="http://bzhou.ie.cuhk.edu.hk/">Bolei Zhou</a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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<a href="http://dahua.me/">Dahua Lin</a>
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</div>
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<div class="is-size-5 publication-authors">
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<a href="http://mmlab.ie.cuhk.edu.hk/">MMLab, The Chinese University of Hong Kong</a>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
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<span class="eql-cntrb"><br>CVPR 2020</span>
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</div>
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<div class="column has-text-centered">
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<div class="publication-links">
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<!-- Arxiv PDF link -->
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<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9157529" target="_blank"
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class="external-link button is-normal is-rounded is-dark">
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<span class="icon">
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<i class="fas fa-file-pdf"></i>
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</span>
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<span>Paper</span>
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</a>
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</span>
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<!-- Supplementary PDF link -->
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<span class="link-block">
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<a href="https://openaccess.thecvf.com/content_CVPR_2020/supplemental/Rao_A_Local-to-Global_Approach_CVPR_2020_supplemental.pdf" target="_blank"
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class="external-link button is-normal is-rounded is-dark">
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<span class="icon">
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<i class="fas fa-file-pdf"></i>
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</span>
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<span>Supplementary</span>
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</a>
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</span>
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<!-- Github link -->
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<span class="link-block">
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<a href="https://github.com/AnyiRao/SceneSeg" target="_blank"
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class="external-link button is-normal is-rounded is-dark">
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<span class="icon">
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<i class="fab fa-github"></i>
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</span>
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<span>Code</span>
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</a>
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<!-- ArXiv abstract Link -->
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<span class="link-block">
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<a href="https://arxiv.org/abs/2004.02678" target="_blank"
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class="external-link button is-normal is-rounded is-dark">
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<span class="icon">
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<i class="ai ai-arxiv"></i>
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</span>
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<span>arXiv</span>
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</a>
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</span>
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</div>
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</section>
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<!-- Teaser video-->
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<div class="container is-max-desktop">
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<!-- <video poster="" id="tree" autoplay controls muted loop height="100%">
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<source src="static/videos/banner_video.mp4"
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type="video/mp4">
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</video> -->
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<img src="./img/pipeline.png" alt="MY ALT TEXT"/>
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<h2 class="content has-text-justified">
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<p>
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Scene, as the crucial unit of storytelling in movies, contains complex activities of actors and their interactions in
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a physical location. Identifying the composition and semantics of scenes
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serves as a critical step towards visual understanding of complex and long videos such as movies, TV episodes, entertainment shows and variety shows.
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</p>
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<p>
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This work is going to help divide a long video into semantic continuous short videos and output a structural representation.
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And it also provides research opportunities towards story/plot understanding in long videos with a semantic unit.
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</p>
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</h2>
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</section>
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<div class="column has-text-centered">
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<section class="hero is-small">
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<div class="hero-body">
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<div class="container">
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<h2 class="title is-3">Introduction Video</h2>
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<center>
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<iframe width="820" height="480" src="https://www.youtube.com/embed/NfyOxC6k1u8" frameborder="0" allowfullscreen></iframe>
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</video>
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<br>
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</center>
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</div>
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</section>
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<!-- End video carousel -->
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<section class="hero is-small">
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<div class="hero-body">
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<div class="container">
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<h2 class="title is-3">Applications</h2>
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<h3 class="title is-4">Human Interaction Graph Generation</h3>
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<div class="content has-text-justified">
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The first line is American Hustle scene segmentation coming from scene detection, where dark blue
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and light blue intertwine with each other to represent different Scenes. The second to fourth line corresponds to C.B. Christian Bale; B.C.
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Bradley Cooper; A.A. Amy Adams Scenes occurrence time lines in this movie respectively, where the dark green means occurring while
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light green does not. The graph below represents their interaction over the story line. The dark red represents a closer relationship while
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the light red represents a far-away relationship and two demo pictures are shown for closer relationships.
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<center><br><img src="./img/humanint.png" width="80%"></center>
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</div>
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<br>
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<h3 class="title is-4">Cross Movie Scene Retrieval</h3>
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<div class="content has-text-justified">
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Given a specific scene in one movie and we retrieve similar ones in
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other movies. For example,
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we choose a conversation scene and a party scene from Ted (2012) as query, then retrieved scenes
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from other movies.
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<center><br><img src="./img/retrieval.png" width="80%"></center>
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</div>
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</div>
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</div>
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</section>
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<section class="hero is-small">
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<div class="hero-body">
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<div class="container">
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<h2 class="title is-3">Materials</h2>
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<h2 class="title is-4">Videos Presentations</h2>
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<div class="col-sm-10" style=" flex-direction:row;">
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<div style="display: flex; margin-left: 0em">
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<div style="flex:1;" align="center">
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<div class="font-georgia bold"></div>
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<a href="https://www.youtube.com/watch?v=hSXXR5wTYmc" target="_blank" class="imageLink" >
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<img src="./img/cvpr20.png" width="80%"></a><br>
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<a href="https://www.youtube.com/watch?v=hSXXR5wTYmc" target="_blank"> 1-min Spotlight</a>
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</div>
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<div style="flex:1;" align="center">
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<div class="font-georgia bold"></div>
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<a href="https://www.youtube.com/watch?v=Qo6E_hNn9mc" target="_blank" class="imageLink" >
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<img src="./img/demo.png" width="80%"></a><br>
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<a href="https://www.youtube.com/watch?v=Qo6E_hNn9mc" target="_blank"> Demo</a>
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<a href="https://www.bilibili.com/video/BV1ep4y1C7N8" target="_blank"> Bilibili</a>
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</div>
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</div>
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</div>
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<br>
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<h2 class="title is-4">Workshop Presentations</h2>
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<div class="col-sm-10" style=" flex-direction:row;">
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<div style="display: flex; margin-left: 0em">
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<div style="flex:1;" align="center">
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<div class="font-georgia bold"></div>
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<a href="https://www.youtube.com/watch?v=hb80-dNbIZQ" target="_blank" class="imageLink" >
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<img src="./img/wss20.png" width="80%"></a><br>
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<a href="http://sightsound.org/" target="_blank"> Sight and Sound 2020</a>
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<br>5-min talk
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</div>
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<div style="flex:1;" align="center">
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<div class="font-georgia bold"></div>
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<a href="https://sites.google.com/view/luv2020/talks/rao" target="_blank" class="imageLink" >
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<img src="./img/luv20.png" width="80%"></a><br>
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<a href="https://sites.google.com/view/luv2020" target="_blank"> Learning from Unlabeled Videos 2020</a>
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<br>15-min talk
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</div>
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</div>
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</div>
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</div>
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</div>
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</section>
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</div>
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<section class="section" id="BibTeX">
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<div class="container is-max-desktop content">
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<h2 class="title">BibTeX</h2>
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<pre><code>@inproceedings{rao2020local,
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title={A Local-to-Global Approach to Multi-modal Movie Scene Segmentation},
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author={Rao, Anyi and Xu, Linning and Xiong, Yu and Xu, Guodong and Huang, Qingqiu and Zhou, Bolei and Lin, Dahua},
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booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
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pages={10146--10155},
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year={2020}
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}</code></pre>
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</div>
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</section>
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</body>
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</html>

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