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      <div class="TdmEntry">Overall Objectives<ul><li><a href="./uid3.html">Statement</a></li></ul></div>
      <div class="TdmEntry">Research Program<ul><li><a href="uid5.html&#10;&#9;&#9;  ">3D object and scene modeling, analysis,
and retrieval</a></li><li><a href="uid7.html&#10;&#9;&#9;  ">Category-level object and scene recognition</a></li><li><a href="uid8.html&#10;&#9;&#9;  ">Image restoration, manipulation and enhancement</a></li><li><a href="uid9.html&#10;&#9;&#9;  ">Human activity capture and classification</a></li></ul></div>
      <div class="TdmEntry">Application Domains<ul><li><a href="uid13.html&#10;&#9;&#9;  ">Introduction</a></li><li><a href="uid14.html&#10;&#9;&#9;  ">Quantitative image analysis in science and humanities</a></li><li><a href="uid15.html&#10;&#9;&#9;  ">Video Annotation, Interpretation, and Retrieval</a></li></ul></div>
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      <div class="TdmEntry">New Software and Platforms<ul><li><a href="uid21.html&#10;&#9;&#9;  ">NetVLAD: CNN architecture for weakly supervised place recognition</a></li><li><a href="uid22.html&#10;&#9;&#9;  ">Unsupervised learning from narrated instruction videos</a></li><li><a href="uid23.html&#10;&#9;&#9;  ">ContextLocNet: Context-aware deep network models for
weakly supervised localization</a></li><li><a href="uid24.html&#10;&#9;&#9;  ">Long-term Temporal Convolutions for Action Recognition</a></li></ul></div>
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      <div class="TdmEntry">Bilateral Contracts and Grants with Industry<ul><li><a href="uid59.html&#10;&#9;&#9;  ">Facebook AI Research Paris: Weakly-supervised interpretation of image and video data (Inria)</a></li><li><a href="uid60.html&#10;&#9;&#9;  ">Google: Learning to annotate videos from movie scripts (Inria)</a></li><li><a href="uid61.html&#10;&#9;&#9;  ">Google: Structured learning from video and natural language (Inria)</a></li><li><a href="uid62.html&#10;&#9;&#9;  ">MSR-Inria joint lab: Image and video mining for science and humanities (Inria)</a></li></ul></div>
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	    Raweb 
	    2016</a> | <a href="http://www.inria.fr/en/teams/willow">Presentation of the Project-Team WILLOW</a> | <a href="http://www.di.ens.fr/willow">WILLOW Web Site
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        <div class="Titrepage1">2016 Project-Team Activity Report
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          <div class="ProjetCourtpage1">WILLOW</div>
          <div class="ProjetLongpage1">Models of visual object recognition and scene understanding<div class="DescriptionTeam"/></div>
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          <span class="definition">Research centre: </span>
          <a href="https://www.inria.fr/centre/paris">Paris</a>
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        <div class="partner"><span class="definition">In partnership with: </span>CNRS, Ecole normale supérieure de Paris<br/><span class="definition">In collaboration with: </span>Département d'Informatique de l'Ecole Normale Supérieure<br/><br/></div>
        <div class="domainepage1"><span class="definition">Field: </span><a href="&#10;&#9;      http://www.inria.fr/en/domains/Perception-Cognition-and-Interaction">Perception, Cognition and Interaction</a><br/><span class="definition">Theme: </span>Vision, perception and multimedia interpretation</div>
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          <span class="definition">Keywords: </span>
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            <a href="/keywords/2016/computing">Computer Science and Digital Science: </a>
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            <li>3.1.1. - Modeling, representation</li>
            <li>3.4. - Machine learning and statistics</li>
            <li>5.3. - Image processing and analysis</li>
            <li>5.4. - Computer vision</li>
            <li>8. - Artificial intelligence</li>
            <li>8.1. - Knowledge</li>
            <li>8.2. - Machine learning</li>
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            <a href="/keywords/2016/other">Other Research Topics and Application Domains: </a>
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            <li>9.4.1. - Computer science</li>
            <li>9.4.5. - Data science</li>
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