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<!doctype html>
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<li><a href="index.html" class="selected">Home</a></li>
<li><a href="publication.html">Publications</a></li>
<li><a href="projects.html">Projects</a></li>
<li><a href="personal.html">Personal</a></li>
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<!-- Selected Research section starts here-->
<tr>
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<h2 style="display:inline;">Publications</h2>
<!--<div style="top:-10px; position:relative; image will be 400 x 400">-->
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<td>
<img border=0 src="images/icpr2024.JPG" classs="publogo" height="180">
</td>
<td>
<div class="publication">
<p><strong style="color:#65696C;"> CLIP-based Point Cloud Classification via Point Cloud to Image Translation</strong>
<br> <b>Shuvozit Ghose</b>, Manyi Li, Yiming Qian, Yang Wang
<br><b><em>27th International Conference on Pattern Recognition (ICPR)</b></em>, 2024.<br>
<a href="https://www.arxiv.org/abs/2408.03545">[arXiv]</a>
</div>
</td>
</tr>
<tr>
</tr>
<tr>
<td>
<img border=0 src="images/crv.jpg" classs="publogo" height="180">
</td>
<td>
<div class="publication">
<p><strong style="color:#65696C;"> Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification</strong>
<br> <b>Shuvozit Ghose</b>, Yang Wang
<br><b><em>Conference on Robots and Vision (CRV) (Oral)</b></em>, 2024.<br>
<a href="https://arxiv.org/abs/2404.00857">[arXiv]</a>
</div>
</td>
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<tr>
</tr>
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<td>
<img border=0 src="images/joint.jpg" classs="publogo" height="180">
</td>
<td>
<div class="publication">
<p><strong style="color:#65696C;"> Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition</strong>
<br> Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, <b>Shuvozit Ghose</b>, Pinaki Nath Chowdhury, Yi-Zhe Song
<br><b><em>International Conference on Computer Vision (ICCV)</b></em>, 2021.
<br><a href="https://openaccess.thecvf.com/content/ICCV2021/papers/Bhunia_Joint_Visual_Semantic_Reasoning_Multi-Stage_Decoder_for_Text_Recognition_ICCV_2021_paper.pdf">[paper]</a>,
<a href="https://arxiv.org/abs/2107.12090">[arXiv]</a>
<a href="https://www.youtube.com/watch?v=GPk-O3ZqIoI">[youtube]</a>
</div>
</td>
</tr>
<tr>
</tr>
<tr>
<td>
<img border=0 src="images/metahtr.jpg" classs="publogo" height="180">
</td>
<td>
<div class="publication">
<p><strong style="color:#65696C;"> MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition</strong>
<br> Ayan Kumar Bhunia, <b>Shuvozit Ghose</b>, Amandeep Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song
<br><b><em>Computer Vision and Pattern Recognition (CVPR)</b></em>, 2021.
<br><a href="https://openaccess.thecvf.com/content/CVPR2021/papers/Bhunia_MetaHTR_Towards_Writer-Adaptive_Handwritten_Text_Recognition_CVPR_2021_paper.pdf">[paper]</a>,
<a href="https://arxiv.org/abs/2104.01876">[arXiv]</a>,
<a href="https://www.youtube.com/watch?v=Qzhez9330Pk">[youtube]</a>
</div>
</td>
</tr>
<tr>
</tr>
<tr>
<td>
<img border=0 src="images/udbnet.JPG" classs="publogo" height="180">
</td>
<td>
<div class="publication">
<p><strong style="color:#65696C;"> UDBNET: Unsupervised Document Binarization Network via Adversarial Game</strong>
<br> Amandeep Kumar*, <b>Shuvozit Ghose*</b>, Pinaki Nath Chowdhury, Partha Pratim Roy, Umapada Pal
<br><b><em>25th International Conference on Pattern Recognition (ICPR)</b></em>, 2020.
<br><a href="https://ieeexplore-ieee-org.uml.idm.oclc.org/document/9412442">[paper]</a>,
<a href="https://arxiv.org/abs/2007.07075">[arXiv]</a>,
<a href="https://github.com/ShuvozitGhose/UDBNET">[GitHub]</a>,
<a href="https://www.youtube.com/watch?v=IxQCciXYpkU">[youtube]</a>
</div>
</td>
</tr>
<tr>
</tr>
<tr>
<td>
<img border=0 src="images/model3.jpg" classs="publogo" height="180">
</td>
<td>
<div class="publication">
<p><strong style="color:#65696C;"> Modeling Extent-of-Texture Information for Ground Terrain Recognition</strong>
<br><b> Shuvozit Ghose</b>, Pinaki Nath Chowdhury, Partha Pratim Roy, Umapada Pal
<br><b><em>25th International Conference on Pattern Recognition (ICPR)</b></em>, 2020.
<br><a href="https://ieeexplore-ieee-org.uml.idm.oclc.org/document/9412703">[paper]</a>,
<a href="https://arxiv.org/abs/2004.08141">[arXiv]</a>,
<a href="https://github.com/ShuvozitGhose/Ground-Terrain-EoT">[GitHub]</a>,
<a href="https://www.youtube.com/watch?v=QR953dUqv2Y">[youtube]</a>
</div>
</td>
</tr>
<tr>
<td>
<img border=0 src="images/frac1.jpg" classs="publogo" height="180">
</td>
<td>
<div class="publication">
<p><strong style="color:#65696C;">Fractional Local Neighborhood Intensity Pattern for Image Retrieval using Genetic
Algorithm</strong>
<br><b> Shuvozit Ghose</b>, Abhirup Das, Ayan Kumar Bhunia, Partha Pratim Roy
<br><b><em>Multimedia Tools and Applications</em>, 2020.</b>
<br><a href="https://link.springer.com/article/10.1007/s11042-020-08752-6">[paper]</a>,
<a href="https://arxiv.org/abs/1801.00187">[arXiv]</a>
</div>
</td>
</tr>
<tr>
<td>
<img border=0 src="images/PR_logo.png" classs="publogo" height="180">
</td>
<td>
<div class="publication">
<p><strong style="color:#65696C;"> A Deep One-Shot Network for Query-based Logo Retrieval</strong>
<br>Ayan Kumar Bhunia, Ankan Kumar Bhunia, <b> Shuvozit Ghose </b>, Partha Pratim Roy, Umapada Pal
<br><b><em>Pattern Recognition</em>, 2019. <font color="blue">[I.F. 5.589]</b></font>
<br><a href="https://www.sciencedirect.com/science/article/abs/pii/S0031320319302626?dgcid=rss_sd_all">[Paper]</a>, <a href="https://arxiv.org/abs/1811.01395">[arXiv]</a>, <a href="https://github.com/AyanKumarBhunia/Deep-One-Shot-Logo-Retrieval">[GitHub]</a>
</div>
</td>
</tr>
<tr>
<td>
<img border=0 src="images/icassp19_0_2.jpg" classs="publogo" height="180">
</td>
<td>
<div class="publication">
<p><strong style="color:#65696C;"> User Constrained Thumbnail Generation using Adaptive Convolutions</strong>
<br>Perla Sai Raj Kishore, Ayan Kumar Bhunia, <b> Shuvozit Ghose</b>, Partha Pratim Roy
<br><b><em>IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)</b></em>, 2019.
<br><a href="https://ieeexplore.ieee.org/document/8683761">[paper]</a>, <a href="https://arxiv.org/abs/1810.13054">[arXiv], <a href="https://github.com/sairajk/Thumbnail-Generation">[GitHub]</a>
</div>
</td>
</tr>
</table>
</td>
</tr>
<!-- Selected Research section ends here-->
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