Add "Blurring-Sharpening Process Models for Collaborative Filtering" paper

README.md

@@ -21,6 +21,19 @@ In CVPR 2024<br>
 </td></tr></tbody></table>
 
 
+<table> <tbody> <tr> <td align="left" width=250>
+<a href="https://github.com/jeongwhanchoi/bspm"><img src="teasers/Choi2023.jpg"/></a></td>
+<td align="left" width=550>Blurring-Sharpening Process Models for Collaborative Filtering<br>
+<a href="https://jeongwhanchoi.me/">Jeongwhan Choi</a>, 
+<a href="https://seoyoungh.github.io">Seoyoung Hong</a>, 
+<a href="https://scholar.google.com/citations?user=px5LGgMAAAAJ&hl=en">Noseong Park</a>, 
+<a href="https://scholar.google.com/citations?user=px5LGgMAAAAJ&hl=en">Sung-Bae Cho</a><br>
+In SIGIR 2023<br>
+<a href="https://arxiv.org/abs/2211.09324">[Paper]</a> 
+<a href="https://github.com/jeongwhanchoi/bspm">[Project]</a>
+</td></tr></tbody></table>
+
+
 <table> <tbody> <tr> <td align="left" width=250>
 <a href="https://arxiv.org/abs/2304.12152"><img src="teasers/Jiang2023.jpg"/></a></td>
 <td align="left" width=550>Efficient Halftoning via Deep Reinforcement Learning<br>
@@ -1237,6 +1250,6 @@ In Psychological Review 1954<br>
 
 <br>
 
-Last updated in Mar 2024
+Last updated in Dec 2024
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cat_papers.html

@@ -140,6 +140,19 @@
 <strong><a href="https://arxiv.org/abs/2311.17048">[Paper]</a></strong> 
 </p></tr></tbody></table><br>
 
+<table><tbody><tr><td>
+<a href="https://github.com/jeongwhanchoi/bspm"><img src="teasers/Choi2023.jpg"/ border=1 width=210></a></td>
+<td width="20"></td>
+<td valign="middle" width="680"><strong>Blurring-Sharpening Process Models for Collaborative Filtering</strong>
+<p class="content"><a href="https://jeongwhanchoi.me/">Jeongwhan Choi</a>, 
+<a href="https://seoyoungh.github.io">Seoyoung Hong</a>, 
+<a href="https://scholar.google.com/citations?user=px5LGgMAAAAJ&hl=en">Noseong Park</a>, 
+<a href="https://scholar.google.com/citations?user=px5LGgMAAAAJ&hl=en">Sung-Bae Cho</a><br>
+In SIGIR 2023<br>
+<strong><a href="https://arxiv.org/abs/2211.09324">[Paper]</a></strong> 
+<strong><a href="https://github.com/jeongwhanchoi/bspm">[Project]</a></strong>
+</p></tr></tbody></table><br>
+
 <table><tbody><tr><td>
 <a href="https://arxiv.org/abs/2304.12152"><img src="teasers/Jiang2023.jpg"/ border=1 width=210></a></td>
 <td width="20"></td>
@@ -1356,7 +1369,7 @@
 
 <br>
 
-Last updated in Mar 2024
+Last updated in Dec 2024
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       <div style="display:none">

data/reference.csv

@@ -97,3 +97,4 @@ Learning Spatio-Temporal Downsampling for Effective Video Upscaling,2022,https:/
 HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars,2022,https://arxiv.org/abs/2203.14863,,ArXiv,Xiaoyu Xiang+https://engineering.purdue.edu/people/xiaoyu.xiang.1;Jon Morton;Fitsum A Reda+https://fitsumreda.github.io/;Lucas Young;Federico Perazzi+https://fperazzi.github.io/;Rakesh Ranjan;Amit Kumar;Andrea Colaco;Jan Allebach,Xiang2022b.jpg
 Efficient Halftoning via Deep Reinforcement Learning,2023,https://arxiv.org/abs/2304.12152,,IEEE TIP,Haitian Jiang;Dongliang Xiong;Xiaowen Jiang;Li Ding;Liang Chen;Kai Huang,
 Zero-shot Referring Expression Comprehension via Structural Similarity Between Images and Captions,2024,https://arxiv.org/abs/2311.17048,,CVPR,Zeyu Han+https://show-han.github.io/;Fangrui Zhu+https://fangruizhu.github.io/;Qianru Lao+https://estherbear.github.io/;Huaizu Jiang+https://jianghz.me/,
+Blurring-Sharpening Process Models for Collaborative Filtering,2023,https://arxiv.org/abs/2211.09324,https://github.com/jeongwhanchoi/bspm,SIGIR,Jeongwhan Choi+https://jeongwhanchoi.me/;Seoyoung Hong+https://seoyoungh.github.io;Noseong Park+https://scholar.google.com/citations?user=px5LGgMAAAAJ&hl=en;Sung-Bae Cho+https://scholar.google.com/citations?user=px5LGgMAAAAJ&hl=en,