From 2740b8eececb72b4380a4faabe236ffcb1079b15 Mon Sep 17 00:00:00 2001
From: Chao Fan <92680886+ChaoFan996@users.noreply.github.com>
Date: Wed, 19 Apr 2023 00:05:53 +0800
Subject: [PATCH] Update README.md

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 README.md | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

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 <div align="center"><img src="./assets/nm.gif" width = "100" height = "100" alt="nm" /><img src="./assets/bg.gif" width = "100" height = "100" alt="bg" /><img src="./assets/cl.gif" width = "100" height = "100" alt="cl" /></div>
 
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+🎉🎉🎉 **[*OpenGait*](https://arxiv.org/pdf/2211.06597.pdf) has been accpected by CVPR2023 as a highlight paper！** 🎉🎉🎉
 
 OpenGait is a flexible and extensible gait recognition project provided by the [Shiqi Yu Group](https://faculty.sustech.edu.cn/yusq/) and supported in part by [WATRIX.AI](http://www.watrix.ai).
 
@@ -14,9 +15,9 @@ OpenGait is a flexible and extensible gait recognition project provided by the [
 
 
 ## Our Publications
-- [CVPR 2023] LidarGait: Benchmarking 3D Gait Recognition with Point Clouds, [*Paper*](https://arxiv.org/pdf/2211.10598), [*Dataset and Code(Coming Soon)*](https://lidargait.github.io).
-- [CVPR 2023] OpenGait: Revisiting Gait Recognition Toward Better Practicality, [*Paper*](https://arxiv.org/pdf/2211.06597.pdf), [*Code*](configs/gaitbase).
-- [ECCV 2022] GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality, [*Paper*](https://arxiv.org/pdf/2203.03972), [*Code*](configs/gaitedge/README.md).
+- [**CVPR 2023**] LidarGait: Benchmarking 3D Gait Recognition with Point Clouds, [*Paper*](https://arxiv.org/pdf/2211.10598), [*Dataset and Code(Coming Soon)*](https://lidargait.github.io).
+- [**CVPR 2023 Highlight**] OpenGait: Revisiting Gait Recognition Toward Better Practicality, [*Paper*](https://arxiv.org/pdf/2211.06597.pdf), [*Code*](configs/gaitbase).
+- [**ECCV 2022**] GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality, [*Paper*](https://arxiv.org/pdf/2203.03972), [*Code*](configs/gaitedge/README.md).
 
 ## Highlighted features
 - **Mutiple Dataset supported**: [CASIA-B](http://www.cbsr.ia.ac.cn/english/Gait%20Databases.asp), [OUMVLP](http://www.am.sanken.osaka-u.ac.jp/BiometricDB/GaitMVLP.html), [HID](http://hid2022.iapr-tc4.org/), [GREW](https://www.grew-benchmark.org), [Gait3D](https://github.com/Gait3D/Gait3D-Benchmark), and [CASIA-E](https://www.scidb.cn/en/detail?dataSetId=57be0e918db743279baf44a38d013a06).