From 8dc366a16f73df0027650a42cb106361944836b6 Mon Sep 17 00:00:00 2001
From: GuoZonghao <53965544+guozonghao96@users.noreply.github.com>
Date: Tue, 6 Aug 2024 12:00:29 +0800
Subject: [PATCH] Update ZonghaoGuo.htm

---
 ZonghaoGuo.htm | 34 ++++++++++++++++++++++++++++++----
 1 file changed, 30 insertions(+), 4 deletions(-)

diff --git a/ZonghaoGuo.htm b/ZonghaoGuo.htm
index 010cb4d..4c86c96 100644
--- a/ZonghaoGuo.htm
+++ b/ZonghaoGuo.htm
@@ -55,13 +55,38 @@ <H2>Biography</H2>
   <H2>Publications</H2>
     <table class="pub_table">
     <!-- <tbody> -->   
-
+      <tr>
+        <td class="pub_td1"><img src="files/PaperFig/LLaVA-UHD.jpg" class="papericon"></td>
+        <td 
+          class="pub_td2"><u>Zonghao Guo</u>, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang
+          <br><b>LLaVA-UHD: an LMMPerceiving Any Aspect Ratio and High-Resolution Images</b>
+	  <br>European Conference on Computer Vision, 2024
+          <br>
+          [<a href="https://arxiv.org/pdf/2403.11703">Paper</a>]
+          [<a href="https://github.com/thunlp/LLaVA-UHD">Code</a>]
+          <br>
+        </td>
+      </tr>
+	    
+      <tr>
+        <td class="pub_td1"><img src="files/PaperFig/control_cap.png" class="papericon"></td>
+        <td 
+          class="pub_td2">Yuzhong Zhao, Yue Liu, <u>Zonghao Guo</u>, Weijia Wu, Chen Gong, Fang Wan, Qixiang Ye
+          <br><b>ControlCap: Controllable Region-level Captioning</b>
+	  <br>European Conference on Computer Vision, 2024
+          <br>
+          [<a href="https://arxiv.org/pdf/2401.17910">Paper</a>]
+          [<a href="https://github.com/callsys/ControlCap">Code</a>]
+          <br>
+        </td>
+      </tr>
+	    
       <tr>
         <td class="pub_td1"><img src="files/PaperFig/cfa.jpg" class="papericon"></td>
         <td 
           class="pub_td2"><u>Zonghao Guo</u>, Chang Liu, Xiaosong Zhang, Jianbin Jiao, Xiangyang Ji, Qixiang Ye
           <br><b>Beyond Bounding-Box: Convex-hull Feature Adaptation for Oriented and Densely Packed Object Detection</b>
-	  <br>Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021
+	  <br>IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021
           <br>
           [<a href="https://openaccess.thecvf.com/content/CVPR2021/papers/Guo_Beyond_Bounding-Box_Convex-Hull_Feature_Adaptation_for_Oriented_and_Densely_Packed_CVPR_2021_paper.pdf">Paper</a>]
           [<a href="https://github.com/guozonghao96/BeyondBoundingBox">Code</a>]
@@ -87,7 +112,7 @@ <H2>Publications</H2>
         <td 
           class="pub_td2">Mingxiang Liao*, <u>Zonghao Guo*</u>, Yuze Wang, Peng Yuan, Bailan Feng, Fang Wan
           <br><b>AttentionShift: Iteratively Estimated Part-based Attention Map for Pointly Supervised Instance Segmentation</b>
-          <br>Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
+          <br>IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
         </td>
       </tr>
 	  
@@ -96,6 +121,7 @@ <H2>Publications</H2>
         <td 
           class="pub_td2">Feng Liu, Xiaosong Zhang, Zhiliang Peng, <u>Zonghao Guo</u>, Fang Wan, Xiangyang Ji, Qixiang Ye
           <br><b>Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection</b>
+	  <br>IEEE International Conference on Computer Vision, 2023
           <br>
           [<a href="https://arxiv.org/abs/2205.09613">arXiv preprint</a>]
           [<a href="https://github.com/LiewFeng/imTED">Code</a>]
@@ -132,7 +158,7 @@ <H2>Publications</H2>
         <td 
           class="pub_td2">Zhiliang Peng, Wei Huang, <u>Zonghao Guo</u>, Xiaosong Zhang, Jianbin Jiao, Qixiang Ye
           <br><b>Long-tailed Distribution Adaptation</b>
-          <br>Proceedings of the 29th ACM International Conference on Multimedia, 2021
+          <br>29th ACM International Conference on Multimedia, 2021
           <br>
           [<a href="https://arxiv.org/abs/2110.02686">Paper</a>]
           [<a href="https://github.com/pengzhiliang/LDA">Code</a>]