From 51ffee5ac903638417dd3459ff0e6715432ed64a Mon Sep 17 00:00:00 2001
From: Xiang Li <xiang.li.implus@njust.edu.cn>
Date: Thu, 27 Jul 2023 10:49:24 +0800
Subject: [PATCH] Update index.html

---
 index.html | 22 ++++++++++++++++++++++
 1 file changed, 22 insertions(+)

diff --git a/index.html b/index.html
index 988e193..f9dc65f 100644
--- a/index.html
+++ b/index.html
@@ -364,6 +364,28 @@ <h2 id="experience">News</h2>
     <div class="section">
         <h2 id="confpapers">Selected Publications</h2>
 	(* indicates equal contribution, # corresponding author)
+
+	<div class="paper"><img class="paper" src="./resources/paper_icon/AAAI_2023_CTKD.png"
+				   title="Large Selective Kernel Network for Remote Sensing Object Detection">
+            <div><strong>Large Selective Kernel Network for Remote Sensing Object Detection</strong><br>
+		Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang#, Xiang Li#<br>
+                in ICCV, 2023<br>
+                <a href="https://arxiv.org/pdf/2303.09030.pdf">[Paper]</a>
+                <a href="./resources/bibtex/ICCV_2023_LSKNet.txt">[BibTex]</a>
+                <a href="https://github.com/zcablii/LSKNet">[Code]</a><img
+                        src="https://img.shields.io/github/stars/zcablii/LSKNet?style=social"/>
+                <br>
+                <a href="https://paperswithcode.com/sota/object-detection-in-aerial-images-on-dota-1?p=large-selective-kernel-network-for-remote"><img
+                src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/large-selective-kernel-network-for-remote/object-detection-in-aerial-images-on-dota-1"/></a>
+                <a href="https://paperswithcode.com/sota/object-detection-in-aerial-images-on-hrsc2016?p=large-selective-kernel-network-for-remote"><img
+                src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/large-selective-kernel-network-for-remote/object-detection-in-aerial-images-on-hrsc2016"/></a>
+                <br>
+                <alert>
+        LSKNet can dynamically adjust its large spatial receptive field to better model the ranging context of various categories of objects in remote sensing scenarios
+		</alert>
+            </div>
+            <div class="spanner"></div>
+        </div>
 	
 	<div class="paper"><img class="paper" src="./resources/paper_icon/AAAI_2023_CTKD.png"
 	     title="Curriculum Temperature for Knowledge Distillation">