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<!DOCTYPE HTML>
<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Soumyajit Karmakar</title>
<meta name="author" content="Soumyajit Karmakar">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
<link rel="icon" type="image/png" href="images/tab_icon.png">
</head>
<body>
<table style="width:100%;max-width:800px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
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<td style="padding:2.5%;width:63%;vertical-align:middle">
<p style="text-align:center">
<name>Soumyajit Karmakar</name>
</p>
<p>
I am a Project Assistant at the Vision and AI Lab (<a href="https://val.cds.iisc.ac.in/index.html">VAL</a>), Indian Institute of Science working on
Multi-Modal Learning and Vision-Language Models with <a href="http://cds.iisc.ac.in/faculty/venky/">Prof. R. Venkatesh Babu</a>.
</p>
<p>
Prior to this, I completed B.Tech in CSE from IIIT Guwahati, where I secured departmental rank 2. I did my Bachelor's thesis at the Centre for Visual
Information Technology (<a href="https://cvit.iiit.ac.in/">CVIT</a>), IIIT Hyderabad under <a href="https://faculty.iiit.ac.in/~jawahar/">Prof. C. V.
Jawahar</a> on the topic of Semantic segmentation for the urban road settings using Diffusion Models.
</p>
<p>
In the summer of 2022, I participated in the Parameterized Algorithms and Computational Experiments (<a href="https://pacechallenge.org/2022/">PACE</a>)
competition under the guidance of <a href="https://www.iiitg.ac.in/department/cse/faculty-1/srinibas-swain">Dr. Srinibas Swain</a> (IIIT Guwahati) and
secured <strong>Global Rank 1</strong>, in the heuristic track.
</p>
<p style="text-align:center">
<a href="mailto:soumyajit.karmakar.cse@gmail.com">Email</a>  / 
<a href="data/Soumyajit_CV.pdf">CV</a>  / 
<!-- <a href="data/srijan-bio.txt">Bio</a>  /  -->
<a href="https://scholar.google.com/citations?user=854h1MIAAAAJ&hl=en">Google Scholar</a>  / 
<!-- <a href="https://twitter.com/srijandas07">Twitter</a>  /  -->
<a href="https://github.com/SoumyajitKarmakar">Github</a>
</p>
</td>
<td style="padding:2.5%;width:40%;max-width:40%">
<a href="images/soumyajit_circle_new.png"><img style="width:100%;max-width:100%" alt="profile photo" src="images/soumyajit_circle_new.png" class="hoverZoomLink"></a>
</td>
</tr>
</tbody>
</table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
<tr>
<td style="padding:20px;width:100%;vertical-align:middle">
<heading>Research</heading>
<p>
I am interested in deep learning and computer vision. My current research interests lie in intersection of vision and language models, with a focus
on Contrastive-Loss based models like CLIP. I have previously worked on various topics such as Latent Diffusion Models, Person Re-identification, and
Few-Shot learning.
</p>
</td>
</tr>
</tbody>
</table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
<tr>
<td style="padding:20px;width:100%;vertical-align:middle">
<heading>News</heading>
<p style="margin-left: 40px">
<ul>
<li><b>Oct 2023</b> - Paper on "A Study on ViTs Augmented by Masked Autoencoders" accepted at WACV 2024.</li>
<li><b>Sept 2023</b> - Joined VAL, IISc as a Project Assistant under Prof. R. Venkatesh Babu.</li>
<li><b>Jan 2023</b> - Joined CVIT, IIITH as a Research Fellow for my Bachelor's thesis under Prof. C. V. Jawahar.</li>
<li><b>Oct 2022</b> - Paper on "Convolutional Ensembling based Few-Shot Defect Detection Technique" accepted at ICVGIP 2022.</li>
<li><b>Aug 2022</b> - Started a project under Dr. Srijan Das at UNCC.</li>
<li><b>July 2022</b> - Secured Global Rank 1 at the PACE 2022 competition in the heuristics track student category.</li>
<li><b>May 2022</b> - Joined AITG, CSIR-CEERI as a Research Intern under Dr. Sanjay Singh. </li>
<li><b>Aug 2019</b> - Started BTech CSE at IIIT Guwahati.</li>
</ul>
</p>
</td>
</tr>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;">
<p>
<heading>Publications</heading>
<br>
<tr>
<td>
<style>
.pub-year {
font-size: 2em; /* change the font size to your desired size */
text-decoration: underline; /* add an underline */
}
</style>
<subheading class="pub-year">Preprint & 2024</subheading>
</td>
</tr>
<p>
<tr bgcolor="#ffffd0">
<td style="padding:70px;width:25%;vertical-align:middle">
<div class="one">
<img src='images/wacv24.png' height=175px width=250px>
</div>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2310.20704.pdf">
<papertitle>Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders</papertitle>
</a>
<br>
Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, <strong>Soumyajit Karmakar</strong>, Shyam Marjit, Xiang Li, Abhijit Das, and Michael S. Ryoo.
<br>
<br>
<em>Winter Conference on Applications of Computer Vision (<strong>WACV</strong>), 2024</em>
<br>
<a href="http://arxiv.org/abs/2310.20704">arXiv</a>
/
<a href="https://github.com/dominickrei/Limited-data-vits/">code</a>
<p>
We developed a joint ViT training pipeline which uses a Self-Supervised Auxiliary Task alongside the primary task, for when the training data is limited.
</p>
</td>
</tr>
<tr>
<td>
<br>
<subheading class="pub-year">2022</subheading>
</td>
</tr>
<tr>
<td style="padding: 70px; margin: 100px;width:25px"
<div class="one">
<img src='images/ICVGIP_few_shot_arch.png' height=175px width=250px>
</div>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/pdf/2208.03288.pdf">
<papertitle>Convolutional Ensembling based Few-Shot Defect Detection Technique</papertitle>
</a>
<br>
<strong>Soumyajit Karmakar</strong>, Abeer Banerjee, Prashant Sadashiv Gidde, Sumeet Saurav, and Sanjay Singh.
<br>
<br>
<em>Indian Conference on Computer Vision, Graphics and Image Processing (<strong>ICVGIP</strong>) 2022</em>
<br>
<a href="https://arxiv.org/abs/2208.03288">arXiv</a>
/
<a href="https://github.com/SoumyajitKarmakar/Convolutional-Ensembling-based-Few-Shot-Defect-Detection-Technique">code</a>
<p>We developed a novel convolution stacking based ensemble learning technique that can efficiently extract and process the knowledge base of various
pretrained CNN networks.</p>
</td>
</tr>
<tr>
<td style="padding:70px;width:25%;vertical-align:middle">
<div class="one">
<img src='images/FEDERER_graph.png' height=175px width=250px>
</div>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/">
<papertitle>Feedback vertex set using Edge Density and REmove Redundant (FEDRER): A heuristic solver for finding a feedback vertex set in a directed graph</papertitle>
</a>
<br>
Aman Jain, Sachin Agarwal, Nimish Agrawal, <strong>Soumyajit Karmakar</strong>, Srinibas Swain.
<br>
<br>
<em>Poster session of the International Symposium on Parameterized and Exact Computation (<strong>IPEC</strong>), 2022</em>
<br>
<a href="https://arxiv.org/">arXiv</a>
/
<a href="https://github.com/Amanj2000/PACE-2022-Directed-Feedback-Vertex-Set">code</a>
<p> Our submission for the PACE 2022 competition. We developed a novel divide and conquer heuristic algorithm to obtain the Directed Feedback
Vertex Set of a graph.
</p>
</td>
</tr>
</p>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
<tr>
<td style="padding:20px;width:100%;vertical-align:middle">
<heading>Academic Activities and other Projects</heading>
<p style="margin-left: 40px">
<ul>
<li>Standardized Exam: 331/340 in GRE (162 Verbal Reasoning, 169 in Quantitative Reasoning). 112/120 in TOEFL.</li>
<li>Contributed to open source project CompilerGym. CompilerGym is a open source library of reinforcement learning environments for compiler tasks
maintained by Facebook Research.</li>
<li>Served as reviewer at ICVGIP 2022.</li>
</ul>
</p>
</td>
</tr>
</tbody>
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<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;">
<tbody>
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<td style="padding:0px">
<br>
<p style="text-align:right;font-size:small;">
<a href="https://jonbarron.info/">Thanks to Jon Barron for the template.</a>
<br>
</p>
</td>
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</tbody>
</table>
</td>
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</table>
</body>
</html>