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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1">
<link rel="icon" href="img/logo.png">
<title>Project</title>
<!-- Bootstrap -->
<link href="css/bootstrap.css" rel="stylesheet">
<link rel="stylesheet" type="text/css" href="css/style.css">
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<link href="assets/css/style.css" rel="stylesheet">
</head>
<body><header>
<nav class="navbar navbar-default" style="background:#3399FF;color:#fff">
<div class="container-fluid">
<!-- Brand and toggle get grouped for better mobile display -->
<div class="navbar-header" >
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#bs-example-navbar-collapse-1" aria-expanded="false">
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</div>
<!-- Collect the nav links, forms, and other content for toggling -->
<div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
<ul class="nav navbar-nav navbar-right">
<li><a href="index.html"><b><font color=#003366>Home</font></b></a></li>
<li><a href="People.html"><b><font color=#003366>People</font></b></a></li>
<li><a style="background:#003366;color:#fff" href="Research.html" ><b>Research</b></a></li>
<li><a href="Datasets.html" ><b><font color=#003366>Datasets</font></b></a></li>
<li><a href="Project.html"><b><font color=#003366>Project</font></b></a></li>
<li><a href="publication.html" ><b><font color=#003366>Publications</font></b></a></li>
<li><a href="index.html#contact"><b><font color=#003366>Contact Us</font></a></li>
</ul>
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<div class="container-fluid">
<!-- START PORTFOLIO SECTION-->
<section id="portfolio" class="section wow fadeInUp">
<div class="container-section">
<div class="row">
<div class="grid">
<div class="col-lg-12 col-md-12 col-sm-12">
<h2 > <font color=#003366>Facial Expression Recognition</font></h2>
<h5>
Research objective is to develop an
artificially intelligent human behavioral assessment
system to analyze emotions using visual
data which can be easily collected through various sensory
mediums. Our focus is to develop deep learning
architecture suitable for detecting
micro level information from the facial appearances.
</h5>
<div class="section-title">
</div>
<h4><b>PROJECTS</b></h4>
<h4><b>Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition</b></h4>
<h5>
  <u><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9207718" target="_blank" >Paper</a></u>  
  <u><a href="https://youtu.be/OyaKoC-CeCI" target="_blank" >PPT</a></u>  
</u>     <u><a href="IJCNNN_2020.html" target="_blank" >Source Codes</a></u>  
</h5>
<a class="profile-img" ><img src="assets/images/RRELU.png" width="100%" height="500" alt="image"></a>
</h5> <br><br>
<h4><b>Micro Expression Recognition using LearNet</b></h4>
<h5>
  <u><a href="https://arxiv.org/abs/1904.09410" target="_blank" >Paper</a></u>  
  <u><a href="assets/publications/TIP.pdf" target="_blank" >PPT</a></u>  
</u>  
  <u><a href="request_FER.html" target="_blank" >Source Codes</a></u>  
</h5>
<a class="profile-img" ><img src="assets/images/LearNet.png" width="100%" height="350" alt="image"></a>
</h5> <br><br>
<h4><b>Facial Expression Recognition Using HiNet</b></h4>
<h5>
  <u><a href="#" target="_blank" >Paper</a></u>  
  <u><a href="assets/publications/SSSDet ICIP 2019.pdf" target="_blank" >PPT</a></u>  
</h5>
<a class="profile-img" ><img src="assets/images/HiNet.png" width="100%" height="350" alt="image"></a>
</h5> <br><br>
<h4><b>Facial Expression Recognition Using ExpertNet</b></h4>
<h5>
  <u><a href="https://arxiv.org/abs/1904.06658" target="_blank" >Paper</a></u>  
  <u><a href="assets/publications/ICVGIP.pdf" target="_blank" >PPT</a></u>  
<a class="profile-img" ><img src="assets/images/ICVGIP.png" width="100%" height="350" alt="image"></a>
</h5> <br><br>
<h4><b>Facial Expression Recognition Using QUEST Discriptor</b></h4>
<h5>
  <u><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8616256" target="_blank" >Paper</a></u>  
  <u><a href="assets/publications/SMC18.pdf" target="_blank" >PPT</a></u>  
<a class="profile-img" ><img src="assets/images/QUEST.png" width="100%" height="350" alt="image"></a>
</h5> <br><br>
<h4><b>Facial Expression Recognition Using ReTrain Discriptor</b></h4>
<h5>
  <u><a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8668200" target="_blank" >Paper</a></u>  
  <u><a href="assets/publications/ReTrain.pdf" target="_blank" >PPT</a></u>  
<a class="profile-img" href="#"><img src="assets/images/ReTrain1.png" width="100%" height="350" alt="image"></a>
</h5> <br><br>
</div>
</div>
<hr>
</div>
</div>
</div>
</section>
<!-- END PORTFOLIO SECTION-->
<!-- START PORTFOLIO SECTION-->
<section id="portfolio" class="section wow fadeInUp">
<div class="container-section">
<div class="row">
<div class="grid">
<div class="col-lg-12 col-md-12 col-sm-12">
<div class="section-title">
<h4 >Related Publication</h4>
</div>
<h5><b>1.</b>
<b>Monu Verma</b>, Santosh Kumar Vipparthi, Girdhari singh, <a href="#"target="_blank">“Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression
Recognition,” </a>IEEE International Joint Conference on Neural Networks (IJCNN), Glasgow, United Kingdom, 2020.
</h5>
<h5><b>2.</b>
<b>Monu Verma</b>, Prafulla saxena, Santosh Kumar Vipparthi, Girdhari Singh, S. K. Nagar, <a href="https://www.researchgate.net/publication/337387469_DeFINet_PORTABLE_CNN_NETWORK_FOR_FACIAL_EXPRESSION_RECOGNITION"target="_blank">
"DeFINet: PORTABLE CNN NETWORK FOR FACIAL EXPRESSION RECOGNITION,"
</a> IEEE International Conference on Information and Communication Technology for Competitive Strategies, Udaipur, INDIA, 2019.
</h5> <h5 style="color:black">
<b>3.</b>
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala,<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8844867"target="_blank"> “LEARNet:
Dynamic Imaging Network for Micro Expression Recognition,” </a>IEEE Transactions on image
processing, 2019(IF 6.79).
</h5>
<h5 style="color:black">
<b>4.</b>Murari Mandal, Monu Verma, Sonakshi Mathur, Santosh Kumar Vipparthi, Subrahmanyam
Murala, Kranthi Kumar Devarasetti,<a href="https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5683"target="_blank"> “RADAP: Regional Adaptive Affinitive Pattern with Logical
Operators for Facial Expression Recognition,”</a> IET Image Processing, 2019(IF 2.004).
</h5>
<h5 style="color:black">
<h5><b>5.</b>
<b>Monu Verma</b>, Santosh Kumar Vipprathi, Girdhari Singh,
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8766893"target="_blank">"HiNet: Hybrid Inherited Feature Learning Network for Facial Expression Recognition
,"</a> IEEE Letters of the Computer Society , 2019. </h5>
<h5 style="color:black">
<b>6.</b>Monu Verma, Jaspreet Singh, Santosh Kumar Vipparthi, Girdhari Singh,<a href="#"target="_blank"> “EXPERTNet: Exigent
Features Preservative Network for Facial Expression Recognition,”</a> 11th Indian Conference on
Computer Vision, Graphics and Image Processing (ICVGIP), 2019.
</h5>
<h5 style="color:black">
<b>7.</b>Monu Verma, Prafulla Saxena, Santosh Kumar Vipparthi, Girdhari Singh,<a href="https://ieeexplore.ieee.org/abstract/document/8616256"target="_blank"> “QUEST:
Quadrilateral Senary bit Pattern for Facial Expression Recognition,” </a>In 2018 IEEE International
Conference on Systems, Man, and Cybernetics (SMC), pp. 1498-1503, 2019.
</h5>
<h5 style="color:black">
<b>8.</b>
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh,<a href="https://ieeexplore.ieee.org/abstract/document/8668200"target="_blank"> “Region Based Extensive Response
Index Pattern for Facial Expression Recognition,” </a>In 2018 International Conference on
Communication, Computing and Internet of Things (IC3IoT), pp. 20-24, 2018.
</h5>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- END PORTFOLIO SECTION-->
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