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<meta property="og:description" content=""><meta property="og:image" content="https://vlgiitr.github.io/images/logo_hu0af03150d0ca39f3b12fa58639b44cf7_60645_300x300_fit_lanczos_3.png"> | ||
<meta property="twitter:image" content="https://vlgiitr.github.io/images/logo_hu0af03150d0ca39f3b12fa58639b44cf7_60645_300x300_fit_lanczos_3.png"><meta property="og:locale" content="en-us"> | ||
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<meta property="og:updated_time" content="2022-03-29T00:00:00+00:00"> | ||
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@@ -532,7 +532,7 @@ <h1>Search</h1> | |
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<li class="nav-item"> | ||
<a class="nav-link " href="/papers_we_read/"><span>Papers We Read</span></a> | ||
<a class="nav-link " href="/summaries/"><span>Papers We Read</span></a> | ||
</li> | ||
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@@ -719,186 +719,41 @@ <h1>Search</h1> | |
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<div class="universal-wrapper pt-3"> | ||
<h1>Aniket Agarwal</h1> | ||
</div> | ||
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<section id="profile-page" class="pt-5"> | ||
<div class="container"> | ||
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<div class="row"> | ||
<div class="col-12 col-lg-4"> | ||
<div id="profile"> | ||
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<img class="avatar avatar-circle" src="/author/aniket-agarwal/avatar_hu0c140ee842128d884a640c8bcf41b1d7_155431_270x270_fill_q90_lanczos_center.jpg" alt="Aniket Agarwal"> | ||
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<div class="portrait-title"> | ||
<h2>Aniket Agarwal</h2> | ||
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<h3> | ||
<a href="https://www.iitr.ac.in/" target="_blank" rel="noopener"> | ||
<span>Indian Institute of Technology Roorkee</span> | ||
</a> | ||
</h3> | ||
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</div> | ||
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<ul class="network-icon" aria-hidden="true"> | ||
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<li> | ||
<a href="mailto:[email protected]" > | ||
<i class="fas fa-envelope big-icon"></i> | ||
</a> | ||
</li> | ||
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<li> | ||
<a href="https://twitter.com/agarwalaniket11" target="_blank" rel="noopener"> | ||
<i class="fab fa-twitter big-icon"></i> | ||
</a> | ||
</li> | ||
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<div class="article-widget content-widget-hr"> | ||
<h3>Latest</h3> | ||
<ul> | ||
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<li> | ||
<a href="https://scholar.google.com/citations?user=oPzYPK0AAAAJ&hl=en" target="_blank" rel="noopener"> | ||
<i class="ai ai-google-scholar big-icon"></i> | ||
</a> | ||
<a href="/publication/reitransformer/">RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition</a> | ||
</li> | ||
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<li> | ||
<a href="https://github.com/aniket-agarwal1999" target="_blank" rel="noopener"> | ||
<i class="fab fa-github big-icon"></i> | ||
</a> | ||
<a href="/publication/longtailvisualrelationshipwithlargevocab/">Exploring Long tail Visual Relationship Recognition with Large Vocabulary</a> | ||
</li> | ||
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<li> | ||
<a href="https://aniket-agarwal1999.github.io/" target="_blank" rel="noopener"> | ||
<i class="fas fa-user big-icon"></i> | ||
</a> | ||
<a href="/publication/scene_graph/">Visual Relationship Detection using Scene Graphs: A Survey</a> | ||
</li> | ||
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<li> | ||
<a href="https://www.linkedin.com/in/aniket-agarwal1999/" target="_blank" rel="noopener"> | ||
<i class="fab fa-linkedin big-icon"></i> | ||
</a> | ||
<a href="/publication/cycle-gan/">Revisiting CycleGAN for Semi-Supervised Segmentation</a> | ||
</li> | ||
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</ul> | ||
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</div> | ||
</div> | ||
<div class="col-12 col-lg-8"> | ||
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<h3 id="biography">Biography</h3> | ||
<p>Music Lover with a weird sense of humour (cringey enough to laugh in pity). Highly interested in mathematical and theoretical aspects of Deep Learning, and also to solve general CV problems in the field of Graphical Deep Learning, Generative Modelling, etc. Would mostly be seen watching The Office in my free time, and arguing why it is way better than Friends :)</p> | ||
<h3 id="interests">Interests</h3> | ||
<ul> | ||
<li>Deep Learning</li> | ||
<li>Graphical Deep Learning</li> | ||
<li>Computer Vision</li> | ||
<li>Generative Modelling</li> | ||
</ul> | ||
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</div> | ||
</section> | ||
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